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Best AI tools to step up content writing in 2023 | Comparison of 5 tools

  • By Gcore
  • April 30, 2023
  • 17 min read
Best AI tools to step up content writing in 2023 | Comparison of 5 tools

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Recently, the rise of artificial intelligence (AI) has brought about many technological advancements, including the development of AI content writing tools. These tools use machine learning algorithms to generate written content, such as articles, product descriptions, and even entire books, reducing the time and effort required for content creation. As you scroll through various articles, it’s possible if not probable that one was written or assisted by an AI program.

However, users may still be searching for which AI content writing tool is the best fit and should be used. To help them out, we tested and compared five popular tools: ChatGPT, QuillBot, Rytr, Copy.ai, and Writesonic. Read this article to see their pros and cons and evaluate which ones best meet the needs for your business or personal use.

Comparison of AI content writing tools

Below, you will find a comprehensive comparison of the top-performing tools and their key features, allowing you to assess which one is best suited to your specific writing needs. So, without further ado, let’s explore the best AI writing tools available today.

1. ChatGPT

ChatGPT is a language model and can be used as a content writing tool for generating text on various topics. It can help with brainstorming ideas, researching, and gathering information, and even writing content itself.

For instance, if you’re tasked with writing an article on a particular subject, such as meal plans for weight loss, you can request ChatGPT to provide you with relevant information and insights. Additionally, you may ask it to create an outline or structure for your article, or even generate a draft that you can review and refine.

Spoiler: Here is what you can expect from ChatGPT.

Key featuresProsConsPricing
• Prompt-based writing and language support 
• Paraphrasing and proofreading 
• Outlining 
• Idea generator 
• Chat history
• Free plan 
• Saves time when creating content 
• Suggests creative ideas 
• Useful for brainstorming ideas for various types of content
• Lacks personal touch 
• May occasionally produce biased content 
• Limited knowledge of world events after 2021 
• May experience downtime when there is high demand
• The free plan includes key features 
• ChatGPT Plus ($20/month) provides faster response speed, priority access to new features, and access during times of high demand

Key features of ChatGPT for content writers

Prompt-based writing and language support. ChatGPT can produce text that sounds like it was written by a human in different languages, such as English, French, German, Spanish, and more. By giving specific prompts, you can control how your text will be written. To give you an idea, here’s a brief example:

Paraphrasing and proofreading. It can paraphrase and proofread existing text, making the content more unique content and engaging. Here’s a quick example:

Outlining. One of the capabilities of ChatGPT is producing outlines and structures for various types of content, which can simplify the process of arranging ideas and producing coherent works. Here’s a quick example where we prompted ChatGPT to create an outline for a blog article.

Idea generator. As a content creator, coming up with a catchy title for your article can be a challenging task. However, by using a prompt to ChatGPT, you can generate ideas to create both catchy and SEO-friendly titles for your content. You can be creative with your prompts to have more interesting results.

Chat history. Please note that these sample prompts are not limited, and you can engage in a conversation with ChatGPT to get more specific ideas. It remembers your previous chats and you can continue to formulate ideas based on its answers. For example, we asked ChatGPT to create a content plan for social media posts on Instagram for selling sneakers.

Next, we asked if it could provide us with a table on how we could schedule Instagram postings.

As a result, it provides us with a schedule for the whole week, including the type of content, captions to use, photos to post, and when to post them. As a content writer and business owner, this could open up opportunities to step up your content creation and gain more followers.

Pros of ChatGPT for content writers

Saves time. Using ChatGPT can quickly generate ideas, titles, and outlines for various types of content, which can help writers or content creators save time during the creation process.

Supports your creativity. Creative prompts allow you to interact with ChatGPT’s creative capacity. ChatGPT can provide you with unexpected ideas and angles, which can then increase productivity and help you come up with unique content.

A free plan is available. One of our favorite pros of this platform is that you don’t need to subscribe to try one of the key features we mentioned. However, there is also a premium subscription called ChatGPT Plus, which costs around $20 per month.

Cons of ChatGPT for content writers

Lack of personal touch. While ChatGPT is a useful tool for generating content quickly, it cannot replace the personal touch and unique voice of a human writer. For instance, when asked to provide a short description of an oven toaster, the resulting text was informative but lacked the nuances and creativity that a human writer could bring to the task.

When writing about a specific topic like an oven toaster, incorporating personal experiences can add depth and authenticity to the content, which is something that may be lacking in AI-generated text. For example, you could write about how people use it or share your favorite pastry recipe that can be baked in the toaster.

Knowledge limitation. It is limited to what it has been trained on, which means that it may not have a deep understanding of specific topics or industries. For example, say we wanted to write a fully in-depth technical article about cloud services. As one of our subject experts said, it can only provide basic information about “the cloud,” and it can’t be more technically accurate once it tries to generate more content.

Let’s take a look at the example below.

We asked ChatGPT to write a brief, one-paragraph answer to the question, “What is cloud storage?”

At first glance, ChatGPT may seem impressive with its answer, but upon closer examination, its response only provides generic information without specifics. According to one of our cloud experts, while it does offer a general idea of cloud storage, it typically describes an internet service used by end-users to store files such as photos and music; it falls short in giving an accurate example.

Now, we was curious and asked ChatGPT about this question to see what the result would be.

We then asked ChatGPT to clarify the accuracy of its responses.

Testing the accuracy of ChatGPT’s responses is crucial because it does not provide sources. When dealing with factual information such as dates, history, science, technology, and medicine, it is advisable to conduct further research and fact-checking before sharing any information.

It may experience downtime when there is high demand. In our experience, if you use ChatGPT during peak working hours (7:00 AM to 1:00 PM), there is a likelihood that you will receive an error message instead of a response to your inquiry.

Pricing

While ChatGPT is a free service, there is a premium version called ChatGPT Plus, which costs $20 per month. This version provides several benefits, including uninterrupted availability even during periods of high demand, quicker response times, and exclusive access to new features.

2. QuillBot

QuillBot is a popular AI tool that specializes in paraphrasing sentences and paragraphs. This tool helps writers and content creators produce better text that aligns with their preferences. QuillBot offers different modes, such as Standard paraphrase, which rephrases sentences by selecting words that can be improved in terms of vocabulary. This feature would be useful for writers who want variations of their text and to improve the message by paraphrasing it.

Spoiler: Here is what you can expect from QuillBot.

Key featuresProsConsPricing
• Paraphrasing 
• Grammar check 
• Summarizing
• Free plan 
• No need to sign up 
• Easy to use 
• The grammar checker tool is free
• Paraphrased text may contain grammatical errors• Key features are available on the free plan 
• The premium plan costs $19.95 per month

Key features

Paraphraser. The free version includes Standard and Fluency modes, while the Premium version offers Formal, Simple, Creative, Expand, and Shorten modes.

Grammar checker. This feature allows you to fix all errors in your text with a single click of a button, and it also allows you to paraphrase and edit the text in their rich text editor.

Summarizer. The Summarizer condenses articles, papers, and other documents into a bulleted Key Sentences list or into a new paragraph.

Pros

Free plan. It already includes 125 words in the Paraphraser. It has Standard and Fluency modes, 3 synonym options, 1 freeze word or phrase and 1200 words in the summarizer.

No need to sign up. You have the option to use their paraphrase tool immediately without having to sign in or create an account.

It’s easy to use. The user interface is straightforward, and anyone can use it, even those who are not tech-savvy. All the features can be easily navigated.

Grammar checker tool is free. You can correct any grammar, spelling, and punctuation errors with a single click of a button by clicking “Fix All Errors.” (Which may be useful given the possible limitations of other features—please see below.)

Cons

Paraphrased text may contain grammatical errors. Here is a sample of text that was paraphrased in QuillBot.

After copying the paraphrased paragraph and checking it in Grammarly, a grammar error was found.

Interestingly, after reviewing it in QuillBot’s own grammar checker, it also detected grammar and punctuation errors.

So be aware of this limitation by using the paraphraser feature in QuillBot.

Pricing

The pricing may vary depending on your location, so best to visit their website for accurate pricing information.

3. Rytr

Rytr is a writing tool driven by AI that enables users to produce high-quality content quickly. It uses sophisticated algorithms and natural language processing to produce content that is accurate and engaging. Let’s take a look at its features.

Spoiler: Here is what you can expect from Rytr.

Key featuresProsConsPricing
• Composing blog ideas and outlines 
• Writing blog sections 
• Generating email content 
• Writing product descriptions 
• Social media updates 
• Chat feature
• Has a library of use cases 
• Generates high-quality text
• Limited word count 
• Not recommended for full-length posts
• A free plan is available 
• Paid plans range from $9 to $29 per month

Key features

Composing blog ideas and outlines. Rytr allows you to generate ideas, structure, and content for articles. You can specify the language type, tone, use case, primary keyword, number of variants, and creativity level. Here’s how this process looks:

Blog section writing. This allows users to write articles based on section topics and headlines. Here’s how we turned the section topic “Weight loss benefits of regular walking” from the previous feature into a fully crafted blog section. First, we identified relevant keywords and added them to the “Section keywords” field (see image below.) Those keywords are inserted seamlessly into each sentence, thus ensuring their natural placement in the content. This will elevate your blog’s SEO articles.

Email. What we like about this feature is that you only need to type a few “Key points” into the corresponding field, and Rytr creates a ready-to-send email. Of course, for best results, you need to provide a maximum input in the “Key points” field. In this example, we asked Rytr to generate an email anticipating a follow-up call about a company’s products and services, including a customer’s phone number.

Product description. This feature allows you to write a brief description for your product or feature. You only need to supply the product name and some basic information in the “About product” field. We tried this out for a Bluetooth speaker product called “XYZ speaker.”

We offered a product description input with limited information, and Rytr was still able to generate satisfactory content. Although it wasn’t an outstanding output text, Rytr elevated our single sentence “About product” field. This feature can serve as a useful starting point for writing product descriptions.

Social media updates. Rytr can take your social media topic ideas and turn them into posts and captions. You can customize the creativity level to your preference.

Chat feature. Rytr’s chat feature also allows you to request content using a conversational interaction. You could request ad copy, generate video ideas, write a blog post, or create a how-to explanation. This feature is incredibly useful and one of our favorites. We asked Rytr to generate a 100-word text about the benefits of walking every day. The resulting text was surprisingly good, and Rytr responded quickly.

You can keep requesting modifications to the content, and the Rytr chat will provide you with the appropriate response. Below, we requested that a numbered list be generated based on its previous response. Once again, we appreciated the prompt response and how it organized the text into a numbered list.

Next, we requested that Rytr chat suggest some SEO-friendly titles based on that topic. The results were excellent, as you can see below.

Our research indicates that Rytr uses GPT-3 AI technology, which functions similarly to ChatGPT. While templates may appear to be the easier option, once you’ve become skilled in creating effective prompts, you’ll achieve the desired outcomes just as efficiently with the chat feature.

Pros

Use cases. Compared to other writing tools, Rytr’s AI writer can generate a wider variety of content with over 30+ use cases available. The tool allows you to customize the output’s tone, creativity level, and language to suit your needs.

Perfect for generating high-quality text. Rytr is highly effective in creating brief posts, especially in producing quality blog sections and outlines. Here is an example below where we choose the use case: Blog Section Writing. We also indicate the section topic, section keywords, number of variants, and creativity level.

Cons

Limited word count. Its free plan has a limited monthly quota, and you need to wait for 30 days before it can be restored. As you can see below, we reached the 10,000-word count limit.

Pricing

The pricing tiers start with a free plan; as you scale, you can upgrade to plans ranging from $9 to $29 per month. The upgraded plans include a dedicated account manager and priority email and chat support from the platform’s team.

4. Copy.ai

Copy.ai is an impressive writing tool that utilizes the power of AI to assist content creators in crafting copy for various purposes, including social media, blogs, and advertising. It also utilizes natural language processing to generate text that closely resembles human writing and provides a broad selection of writing templates. The platform’s user-friendly interface is easy to navigate, and its ability to generate high-quality content quickly has made it a favored tool for both busy professionals and companies. Let’s dive into its features.

Spoiler: Here is what you can expect from Copy.ai.

Key featuresProsConsPricing
• Creates website copy 
• Writes social media updates 
• Blog tools 
• Generates email content 
• Chat feature
• Decent text editor 
• Multiple templates available
• Not suitable for long post content• A free plan is available 
• The pro version is available for $49 per month

Key features

Website copy. This feature offers two modes. The first enables you to design a sales landing page that can help drive traffic to your website and generate leads. The second option lets you utilize a pre-designed template to create an “About Us” section, which will share your brand’s story. Here’s how this looks when we filled in a template for a sales landing page.

Then we filled in the necessary information to generate content.

Once finished, we simply click the “Create Content” button. Copy.ai then works its magic and produces content; simply scroll down the page and copy the generated text that you want to use. In our experience, Copy.ai provided four versions of the text. Moreover, at the bottom of the page, there is an option to click “Make more.”

Social media updates. This feature offers a huge variety of templates, including for discounts or special promotions, social media bios, and “tips” sections. We tested out a few, including one for creating social media posts about discounts.

The results were pretty good.

By being creative with prompts and including additional details, you can achieve improved outcomes. But even with minimal input, the Copy.ai generates good content for social media posts.

Blog tools. Copy.ai offers four different use cases for their blog tools: write a blog introduction, create a blog outline, draft individual blog sections, and a post wizard that is exclusively available in the paid version. The post wizard feature enables you to create an entire first draft of your blog post in just five minutes. We created a blog intro about AI copywriting using Copy.ai.

To create the blog post, we entered the required details such as the title, and topic, and selected a suitable tone from the given options, which typically include friendly, professional, persuasive, and more. You also have the freedom to customize the tone if the available options do not suit your needs. The tool even suggested “Elon Musk” as a tone option, so we decided to experiment with it and observe the results.

Based on our test, the system produced six different versions of blog introductions. If you want to generate more content, you can simply click “Make More.” However, we weren’t convinced that the tone was quite right for Elon Musk. We’ll let you be the judge.

Emails. This feature enables you to generate email content for various purposes. Copy.ai offers ten different use cases, including “Welcome/Confirmation Email,” “Coupons/Discounts,” “Recurring Email Newsletters,” and “Event Promotions.”

We tested the “Welcome/Confirmation Email” feature and used a mechanical keyboard as an example product.

The results were great, with four variations of content generated. Here’s the first result:

Copy.ai creates effective and straightforward welcome email content.

Chat feature. Copy.ai’s chat feature includes a real-time search, the ability to generate long-form content, and facilitates brainstorming. We found the prompt library of prompts (under “Browse Prompts”) was particularly helpful for getting started.

Copy.ai’s prompt library is impressively well organized. In this particular instance, we clicked on the “Content/SEO category,” then selected the “Article Generator” prompt. We were impressed with how easy it was to use the sample prompt—simply insert the topic and tone of the content and the content will be generated.

We utilized the provided prompt and entered the topic “Best gaming laptops” while selecting a friendly tone. We observed an “Improve” button located next to the prompt, so before submitting, we clicked it and the prompt was enhanced to be more specific and detailed.

The prompt was converted into an outline format after selecting the Improve button. Next, we copied and pasted the outline to the text editor in order to display the entire prompt up to the “Sources” section.

Unfortunately, the generated result fell short of our expectations as it didn’t offer any particular laptop models. Some parts of the article failed to persuade us as readers, particularly in the last section on “Diverse Perspectives on Gaming Laptops.” Under that section, the copy doesn’t provide any details about the experts mentioned, and unfortunately is misleading to the reader. We do acknowledge that as an AI language model, Copy.ai may not have access to the most up-to-date information or the capacity to make assessments on these products. Overall, our positive experience creating the prompt wasn’t matched by Copy.ai’s subpar output.

We tested out the chat with different topics, but found that the responses were slow. Nonetheless, we found the sample prompts provided to be useful and could be applied to other AI chat tools like ChatGPT or Rytr.

Pros

It has a decent text editor. While Copy.ai generates content on your behalf, you can easily review and edit the copied content straight to Copy.ai’s text editor. No need to switch windows to edit your content. In addition to that, it is simple to adjust the tone of the content to your liking, whether you prefer a professional tone or a custom-made one.

It has multiple templates available. The platform provides various templates for creating different content types, such as marketing text, social media posts, captions for Instagram, long-form content, and more.

Cons

Not suitable for long post content. Like Rytr, mentioned above, Copy.ai is not suitable for creating lengthy content, as it tends to include redundant information that may not make sense to readers. Alternatively, it may repeat the same content using rephrased wording. Here’s an example of me telling the tool we wanted to write an article about using AI for business content:

When we click on “Create content,” we are only provided with concise descriptions that we can easily copy and paste into my text editor. However, clicking on “more like this” only shows us the same information as the initial description, with no further options available.

Pricing

A free plan, then you can upgrade to Pro, which is available for $49 per month.

5. Writesonic

Writesonic allows writers to create content that is both SEO-friendly and free from plagiarism for various purposes, such as blogs, advertisements, emails, and websites, in a faster and more efficient manner.

Spoiler: Here is what you can expect from Writesonic.

Key featuresProsConsPricing
• Creating long-form blogs and articles 
• Paraphrasing 
• Extending or shortening text 
• Converting passive voice to active voice 
• Chatsonic
• Cost effective 
• Lots of exciting feature 
• Good help resources
• Generated content can sound robotic 
• Limited word count
• Free trial with a 10,000-word limit 
• Long term plan offered at $12.69 per month

Key features

Create long-form blogs and articles. One of our favorite features of this tool is its ability to quickly generate full-length articles with just a few clicks. Within the “Article and Blogs” tab of the control panel, users have access to 14 different use cases. Examples include AI-generated blog titles, paragraph writing, and the AI article writer 4.0, which can produce SEO-friendly articles of up to 3000 words. Additional helpful tools are offered, such as content rephrasing.

We clicked on the AI Article Writer 4.0 option, which allows you to input your topic and search for relevant keywords. For this instance, we used “Benefits of CDN in websites” as our topic and clicked on the “Search keywords” button. The tool then generated a list of keywords to incorporate into the article.

Moving on, we created a title for our article. We used the previously generated keywords and opted for an engaging tone of voice, a first-person point of view, and a premium quality type.

After choosing the title, the next step is to craft an introduction for the blog. We simply clicked on “Generate ideas,” but instead of the default three variants, we adjusted it to two to conserve word count since the tool has a limit of 10,000 words. We chose the second variant.

After we chose this intro, it was automatically copied and pasted into the “Article Intro” field. We were then able to customize the tone of voice, point of view, and even add a CTA (call to action.) From the two outlines generated, we chose the first one.

Writesonic then generated the article from the outline we selected. It produced a 1435-word article and even included a cover image, but the problem is that the image doesn’t match the topic of CDNs.

We copied the entire text and tested it in the Grammarly plagiarism checker to identify any similarities. The checker detected at least 21%, but most of the matches were individual sentences rather than entire paragraphs. Here is a snapshot of the results.

The sentence structure in general is good, particularly for simple explanations. However, this tool is only appropriate for straightforward content. When it comes to writing a highly technical article, it’s important to ensure accuracy by fact-checking it with a professional. Targeted keywords do put generated content at risk of similarity to other online sources. It is important to keep in mind that when using this tool, you should check punctuation, grammar, and run the content through a plagiarism checker. If you plan to publish the blog articles online, you may need to rephrase some of the sentences. In addition, please keep in mind these tips apply to all AI content tools; we just happened to check them with Writesonic since it provided the closest output to a finished blog post.

General writing. We appreciated the extra tools offered by Writesonic, which include the ability to paraphrase, extend or shorten text, convert passive voice to active voice, and provide pros and cons. Here’s an example of a content that was generated earlier for a blog section. We selected the paraphraser to make it more engaging.

As you can see from the result, the tool rephrase the content and gave it a more personalized and engaging tone.

Chatsonic. Chatsonic presents itself as an alternative to ChatGPT that can overcome ChatGPT’s limitations. One of the advantages of Chatsonic is its ability to connect directly to Google. We put this claim to the test by asking for a list of the “Best Gaming Laptops in 2023.” However, we discovered that using Google data comes at an additional cost per word, but can be disabled if desired. We gave the Google data option a try.

As seen in the above image, Chatsonic cited its Google references. Next, we tested turning Google data off. Here are the results:

As seen above, the results changed when we turned off the Google data, and it displayed the 2022 information. Now, let’s ask ChatGPT the same prompt.

So, as we expected, since ChatGPT isn’t directly connected to Google data it can’t provide the latest information. Going back to Chatsonic, we left Google data turned off for the upcoming prompts since we didn’t require the most recent data. We then asked it to generate a caption for a Facebook post promoting a giveaway.

The generated content is great, and it included some emojis and hashtags that are essential for effective social media posts. In another test, we requested Chatsonic to create a 100-word introduction for a YouTube channel. The platform offers an option to choose the type of personality to be used. We selected General AI and Stand-up Comedian, but we didn’t notice any significant change in the text or tone of the content.

In general, we didn’t find Chatsonic to be a great alternative to ChatGPT because of Chatsonic’s pricing. The only advantage of Chatsonic is its ability to connect directly to Google data—an interesting offering, but not enough to make it a serious contender to ChatGPT.

Pros

Cost-effective and has a lot of exciting features. This tool not only has a free plan available, it also offers a range of writing templates and features that utilize AI technology. Here’s how it looks like with their user interface showing different features, from articles and blogs to e-commerce and social media.

Good resources for help provided. If you need assistance on how to use it, their tutorials and documentation guides are well done and you can easily follow each instruction without any issues.

Cons

Generated content can sound robotic. Although the content generated by Writesonic can be of high quality, there are occasions where it may lack a natural and organic feel. As an example, we used it to generate a text on the topic “AI is the future of copywriting,” and upon reading it, we noticed that it had a generic and monotonous tone. The predictable sentence structure consistently started each sentence with the main headline, followed by examples, which may be noticeable to the reader.

Limited word count. Once you hit the free plan limit of 10,000 words, you’ll need to wait 30 days for a reset. We were not fond of the fact that Chatsonic’s chat feature counts towards your free account’s word count limit. In contrast, other platforms do not have this limitation, and their word count limit is only applicable to their use case templates.

Pricing

Starts with a free trial of a 10,000-word count. The long-form plan starts at $12.69/month.

Results of the AI Tool Comparison

After reviewing the top 5 content writing tools, let’s take a look at the table below for a quick comparison.

ToolBest forFree trialPricing starts atSupported languages
ChatGPTCreating long posts, generating ideas, editing and paraphrasing textYes, no word count limitThe basic plan is free. ChatGPT Plus costs $20/month95+ languages
QuillBotParaphraser, summarizer, and grammar checker of any form of contentYes, it can paraphrase 150 words at once and summarize 1200 words at onceThe basic plan is free. $19.95 billed monthlyTranslates over 30+ languages But only paraphrased English language
Copy.aiBlog posts, product descriptions, ad copy, social media postsYes (2,000 words per month)$36/month 
Billed $432/year
29+ languages
RytrShort-form content, ad copy, social media postsYes (5,000 words per month)$9/month 
$90/year
30+ languages
WritesonicBlog posts, ad copy, social media postsYes (up to 10,000 words per month)Starts at $12.69/month24 languages

Please be advised that prices are subject to change. For the most current information, always refer to the company website.

Conclusion

AI-powered content writing tools offer a range of benefits, including faster and more efficient content creation. However, it’s crucial to choose a tool that suits your specific business needs.

We hope that our list has provided you with valuable insights into some of the top AI content writing tools available. Also, it’s important to exercise caution when using these tools, as they can be prone to errors and may produce redundant or even incorrect information. Nevertheless, these limitations should not deter us from using them. Instead, we should use AI writing tools thoughtfully and collaboratively to leverage the power of AI and enhance our content creation efforts to achieve our goals.

As AI technology continues to evolve, we can expect to see even more advancements in this area. This offers new opportunities to optimize digital marketing efforts and create high-quality content faster and more efficiently.

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So, in this article, we explore how L3/L4 network security is evolving to meet new network security challenges and how AI strengthens defenses against today’s most advanced threats.Smarter threat detection across complex network layersModern threats blend into legitimate traffic, using encrypted command-and-control, slow drip API abuse, and DNS tunneling to evade detection. Attackers increasingly embed credential stuffing into regular login activity. Without deep flow analysis, these attempts bypass simple rate limits and avoid triggering alerts until major breaches occur.Effective network defense today means inspection at Layer 3 and Layer 4, looking at:Traffic flow metadata (NetFlow, sFlow)SSL/TLS handshake anomaliesDNS request irregularitiesUnexpected session persistence behaviorsGcore Edge Security applies real-time traffic inspection across multiple layers, correlating flows and behaviors across routers, load balancers, proxies, and cloud edges. Even slight anomalies in NetFlow exports or unexpected east-west traffic inside a VPC can trigger early threat alerts.By combining packet metadata analysis, flow telemetry, and historical modeling, Gcore helps organizations detect stealth attacks long before traditional security controls react.Automated response to contain threats at network speedDetection is only half the battle. Once an anomaly is identified, defenders must act within seconds to prevent damage.Real-world example: DNS amplification attackIf a volumetric DNS amplification attack begins saturating a branch office's upstream link, automated systems can:Apply ACL-based rate limits at the nearest edge routerFilter malicious traffic upstream before WAN degradationAlert teams for manual inspection if thresholds escalateSimilarly, if lateral movement is detected inside a cloud deployment, dynamic firewall policies can isolate affected subnets before attackers pivot deeper.Gcore’s network automation frameworks integrate real-time AI decision-making with response workflows, enabling selective throttling, forced reauthentication, or local isolation—without disrupting legitimate users. Automation means threats are contained quickly, minimizing impact without crippling operations.Hardening DDoS mitigation against evolving attack patternsDDoS attacks have moved beyond basic volumetric floods. Today, attackers combine multiple tactics in coordinated strikes. Common attack vectors in modern DDoS include the following:UDP floods targeting bandwidth exhaustionSSL handshake floods overwhelming load balancersHTTP floods simulating legitimate browser sessionsAdaptive multi-vector shifts changing methods mid-attackReal-world case study: ISP under hybrid DDoS attackIn recent years, ISPs and large enterprises have faced hybrid DDoS attacks blending hundreds of gigabits per second of L3/4 UDP flood traffic with targeted SSL handshake floods. Attackers shift vectors dynamically to bypass static defenses and overwhelm infrastructure at multiple layers simultaneously. Static defenses fail in such cases because attackers change vectors every few minutes.Building resilient networks through self-healing capabilitiesEven the best defenses can be breached. When that happens, resilient networks must recover automatically to maintain uptime.If BGP route flapping is detected on a peering session, self-healing networks can:Suppress unstable prefixesReroute traffic through backup transit providersPrevent packet loss and service degradation without manual interventionSimilarly, if a VPN concentrator faces resource exhaustion from targeted attack traffic, automated scaling can:Spin up additional concentratorsRedistribute tunnel sessions dynamicallyMaintain stable access for remote usersGcore’s infrastructure supports self-healing capabilities by combining telemetry analysis, automated failover, and rapid resource scaling across core and edge networks. This resilience prevents localized incidents from escalating into major outages.Securing the edge against decentralized threatsThe network perimeter is now everywhere. Branches, mobile endpoints, IoT devices, and multi-cloud services all represent potential entry points for attackers.Real-world example: IoT malware infection at the branchMalware-infected IoT devices at a branch office can initiate outbound C2 traffic during low-traffic periods. Without local inspection, this activity can go undetected until aggregated telemetry reaches the central SOC, often too late.Modern edge security platforms deploy the following:Real-time traffic inspection at branch and edge routersBehavioral anomaly detection at local points of presenceAutomated enforcement policies blocking malicious flows immediatelyGcore’s edge nodes analyze flows and detect anomalies in near real time, enabling local containment before threats can propagate deeper into cloud or core systems. Decentralized defense shortens attacker dwell time, minimizes potential damage, and offloads pressure from centralized systems.How Gcore is preparing networks for the next generation of threatsThe threat landscape will only grow more complex. Attackers are investing in automation, AI, and adaptive tactics to stay one step ahead. Defending modern networks demands:Full-stack visibility from core to edgeAdaptive defense that adjusts faster than attackersAutomated recovery from disruption or compromiseDecentralized detection and containment at every entry pointGcore Edge Security delivers these capabilities, combining AI-enhanced traffic analysis, real-time mitigation, resilient failover systems, and edge-to-core defense. In a world where minutes of network downtime can cost millions, you can’t afford static defenses. We enable networks to protect critical infrastructure without sacrificing performance, agility, or resilience.Move faster than attackers. Build AI-powered resilience into your network with Gcore.Check out our docs to see how DDoS Protection protects your network

Introducing Gcore for Startups: created for builders, by builders

Building a startup is tough. Every decision about your infrastructure can make or break your speed to market and burn rate. Your time, team, and budget are stretched thin. That’s why you need a partner that helps you scale without compromise.At Gcore, we get it. We’ve been there ourselves, and we’ve helped thousands of engineering teams scale global applications under pressure.That’s why we created the Gcore Startups Program: to give early-stage founders the infrastructure, support, and pricing they actually need to launch and grow.At Gcore, we launched the Startups Program because we’ve been in their shoes. We know what it means to build under pressure, with limited resources, and big ambitions. We wanted to offer early-stage founders more than just short-term credits and fine print; our goal is to give them robust, long-term infrastructure they can rely on.Dmitry Maslennikov, Head of Gcore for StartupsWhat you get when you joinThe program is open to startups across industries, whether you’re building in fintech, AI, gaming, media, or something entirely new.Here’s what founders receive:Startup-friendly pricing on Gcore’s cloud and edge servicesCloud credits to help you get started without riskWhite-labeled dashboards to track usage across your team or customersPersonalized onboarding and migration supportGo-to-market resources to accelerate your launchYou also get direct access to all Gcore products, including Everywhere Inference, GPU Cloud, Managed Kubernetes, Object Storage, CDN, and security services. They’re available globally via our single, intuitive Gcore Customer Portal, and ready for your production workloads.When startups join the program, they get access to powerful cloud and edge infrastructure at startup-friendly pricing, personal migration support, white-labeled dashboards for tracking usage, and go-to-market resources. Everything we provide is tailored to the specific startup’s unique needs and designed to help them scale faster and smarter.Dmitry MaslennikovWhy startups are choosing GcoreWe understand that performance and flexibility are key for startups. From high-throughput AI inference to real-time media delivery, our infrastructure was designed to support demanding, distributed applications at scale.But what sets us apart is how we work with founders. We don’t force startups into rigid plans or abstract SLAs. We build with you 24/7, because we know your hustle isn’t a 9–5.One recent success story: an AI startup that migrated from a major hyperscaler told us they cut their inference costs by over 40%…and got actual human support for the first time. What truly sets us apart is our flexibility: we’re not a faceless hyperscaler. We tailor offers, support, and infrastructure to each startup’s stage and needs.Dmitry MaslennikovWe’re excited to support startups working on AI, machine learning, video, gaming, and real-time apps. Gcore for Startups is delivering serious value to founders in industries where performance, cost efficiency, and responsiveness make or break product experience.Ready to scale smarter?Apply today and get hands-on support from engineers who’ve been in your shoes. If you’re an early-stage startup with a working product and funding (pre-seed to Series A), we’ll review your application quickly and tailor infrastructure that matches your stage, stack, and goals.To get started, head on over to our Gcore for Startups page and book a demo.Discover Gcore for Startups

Announcing a new AI-optimized data center in Southern Europe

Good news for businesses operating in Southern Europe! Our newest cloud regions in Sines, Portugal, give you faster, more local access to the infrastructure you need to run advanced AI, ML, and HPC workloads across the Iberian Peninsula and wider region. Sines-2 marks the first region launched in partnership with Northern Data Group, signaling a new chapter in delivering powerful, workload-optimized infrastructure across Europe. And Sines-3 expands capacity and availability for the region.Strategically positioned in Portugal, Sines-2 and Sines-3 enhance coverage in Southern Europe, providing a lower-latency option for customers operating in or targeting this region. With the explosive growth of AI, machine learning, and compute-intensive workloads, these new regions are designed to meet escalating demand with cutting-edge GPU and storage capabilities.You can activate Sines-2 and Sines-3 for GPU Cloud or Everywhere Inference today with just a few clicks.Built for AI, designed to scaleSines-2 and Sines-3 bring with them next-generation infrastructure features, purpose-built for today's most demanding workloads:NVIDIA H100 GPUs: Unlock the full potential of AI/ML training, high-performance computing (HPC), and rendering workloads with access to H100 GPUs.VAST NFS (file sharing protocol) support: Benefit from scalable, high-throughput file storage ideal for data-intensive operations, research, and real-time AI workflows.IaaS portfolio: Deploy Virtual Machines, manage storage, and scale infrastructure with the same consistency and reliability as in our flagship regions.Organizations operating in Portugal, Spain, and nearby regions can now deploy workloads closer to end users, improving application performance. For finance, healthcare, public sector, and other organisations running sensitive workloads that must stay within a country or region, Sines-2 and Sines-3 are easy ways to access state-of-the-art GPUs with simplified compliance. Whether you're building AI models, running simulations, or managing rendering pipelines, Sines-2 and Sines-3 offer the performance, capacity, availability, and proximity you need.And best of all, servers are available and ready to deploy today.Run your AI workloads in Portugal todayWith these new Sines regions and our partnership with Northern Data Group, we're making it easier than ever for you to run AI workloads at scale. If you need speed, flexibility, and global reach, we're ready to power your next AI breakthrough.Unlock the power of Sines-2 and Sines-3 today

GTC Europe 2025: watch Seva Vayner on European AI trends

Inference is becoming Europe’s core AI workload. Telcos are moving fast on low-latency infrastructure. Data sovereignty is shaping every deployment decision.At GTC Europe, these trends were impossible to miss. The conversation has moved beyond experimentation to execution, with exciting, distinctly European priorities shaping conversations.Gcore’s own Seva Vayner, Product Director of Edge Cloud and AI, shared his take on this year’s event during GTC. He sees a clear shift in what European enterprises are asking for and what the ecosystem is ready to deliver.Scroll on to watch the interview and see where AI in Europe is heading.“It’s really a pleasure to see GTC in Europe”After years of global AI strategy being shaped primarily by the US and China, Europe is carving its own path. Seva notes that this year’s GTC Europe wasn’t just a regional spin-off. it marked the emergence of a distinctly European voice in AI development.“First of all, it's really a pleasure to see that GTC in Europe happened, and that a lot of European companies came together to have the conversation and build the ecosystem.”As Seva notes, the real excitement came from watching European players collaborate. The focus was less on following global trends and more on co-creating the region’s own AI trajectory.“Inference workloads will grow significantly in Europe”Inference was a throughline across nearly every session. As Seva points out, Europe is still at the early stages of adopting inference at scale, but the shift is happening fast.“Europe is only just starting its journey into inference, but we already see the trend. Over the next 5 to 10 years, inference workloads will grow significantly. That’s why GTC Europe is becoming a permanent, yearly event.”This growth won’t just be driven by startups. Enterprises, governments, and infrastructure providers are all waking up to the importance of real-time, regional inference capabilities.“There’s real traction. Companies are more and more interested in how to deliver low-latency inference. In a few years, this will be one of the most crucial workloads for any GPU cloud in Europe.”“Telcos are getting serious about AI”One of the clearest signs of maturity at GTC Europe was that telcos and CSPs are actively looking to deploy AI. And they’re asking the hard questions about how to integrate it into their infrastructure at a vast scale.“One of the most interesting things is how telcos are thinking about adopting AI workloads on their infrastructure to deliver low latency. Sovereignty is crucial, especially for customers looking to serve training or inference workloads inside their region. And also user experience: how can I get GPU capacity in clusters, or deliver inference in just a few clicks?”This theme—fast, sovereign, self-service AI—popped up again and again. Telcos and service providers want frictionless deployment and local control.“Companies are struggling most with data”While model deployment and infrastructure strategy took center stage, Seva reminds us that data processing and storage remains the bottleneck. Enterprises know they need to adopt AI, but they’re still navigating where and how to store and process the data that fuels it.“One of the biggest struggles for end customers is the data: where it’s processed, where it’s stored, and what kind of capabilities are available. From a European perspective, we already see more and more companies looking for sovereign data privacy and simple, mature solutions for end users.”That’s a familiar challenge for enterprises operating under GDPR, NIS2, and other compliance frameworks. The new wave of AI infrastructure has to be built for performance and for trust.AI in Europe: responsible, scalable, and localSeva’s key takeaway is that AI in Europe is no longer about catching up, it’s about doing it differently. The questions have changed from “Should we do AI?” to “How do we scale it responsibly, reliably, and locally?”From sovereign deployment to edge-first infrastructure, GTC Europe 2025 showed that inference is the foundation of how European businesses plan to run AI. “The ecosystem is coming together,” explains Seva. “And the next five years will be crucial for defining how AI will work: not just in the cloud, but everywhere.”If you’re looking to reduce latency, cut costs, and stay compliant while deploying AI in production, we invite you to download our free ebook, The inference optimization playbook.Download our free inference optimization playbook

Gcore and Orange Business launch innovation program piloting joint solution to deliver sovereign inference as a service

Gcore and Orange Business have kicked off a strategic co-innovation program with the mission to deliver a scalable, production-grade AI inference service that is sovereign by design. By combining Orange Business’ secure, trusted cloud infrastructure and Gcore’s AI inference private deployment service, the collaboration empowers European enterprises and public sector organizations to run inference workloads at scale, without compromising on latency, control, or compliance.Gcore’s AI inference private deployment service is already live on Orange Business’ Cloud Avenue infrastructure. Selected enterprises across industries are actively testing it in real-world scenarios. These pilot customers are exploring how fast, secure, and compliant inference can accelerate their AI projects, cut deployment times, and reduce infrastructure overhead.The prototype will be demonstrated at NVIDIA GTC Paris, at the Taiga Cloud booth G26. Stop by any time to see it in action.The inference supercycle is underwayBy 2030, inference will comprise 70% of enterprise AI workloads. Telcos are well positioned to lead this shift due to their dense edge presence, licensed national data infrastructure, and long-standing trust relationships.Gcore’s inference solution provides a sovereign, edge-native inference layer. It enables users to serve real-time, GPU-intensive applications like agentic AI, trusted LLMs, computer vision, and predictive analytics, all while staying compliant with Europe’s evolving data and AI governance frameworks.From complexity to three clicksEnterprise AI doesn’t need to be hard. Deploying inference workloads at scale used to demand Kubernetes fluency, large MLOps teams, and costly trial-and-error.Now? It’s just three clicks:Pick a model: Choose from NVIDIA NIMs, open source, or proprietary libraries.Choose a region: Select one of Orange Business’ accredited EU data centers.Deploy: See your workloads go live in under 10 seconds.Enterprises can launch inference projects faster, test ideas more quickly, and deliver production-ready AI services without spending months on ML plumbing.Explore our blog to watch a demo showing how enterprises can deploy inference workloads in just three clicks and ten seconds.Sovereign by designAll model data, logs, and inference results are stored exclusively within Orange Business’ own data centers in France, Germany, Norway, and Sweden. Cross-border data transfer is opt-in only, helping ensure alignment with GDPR, sector-specific regulations, and the forthcoming EU AI Act.This platform is built for trust, transparency, and sovereignty by default. Customers maintain full control over their data, with governance baked into every layer of the deployment.Performance without trade-offsGcore’s AI inference solution avoids the latency spikes, cold starts, and resource waste common in traditional cloud AI setups. Key design features include:Smart GPU routing: Directs each request to the nearest in-region GPU, delivering real-time performance with sub-50ms latency.Pre-loaded models: Reduces cold start delays and improves response times.Secure multi-tenancy: Isolates customer data while maximizing infrastructure efficiency.The result is a production-ready inference platform optimized for both performance and compliance.Powering the future of AI infrastructureThis partnership marks a step forward for Europe’s sovereign AI capabilities. It highlights how telcos can serve as the backbone of next-generation AI infrastructure, hosting, scaling, and securing workloads at the edge.With hundreds of edge POPs, trusted national networks, and deep ties across vertical industries, Orange Business is uniquely positioned to support a broad range of use cases, including real-time customer service AI, fraud detection, healthcare diagnostics, logistics automation, and public sector digital services.What’s next: validating real-world performanceThis phase of the Gcore and Orange Business program is focused on validating the solution through live customer deployments and performance benchmarks. Orange Business will gather feedback from early access customers to shape its future sovereign inference service offering. These insights will drive refinements and shape the roadmap ahead of a full commercial launch planned for later this year.Gcore and Orange Business are committed to delivering a sovereign inference service that meets Europe’s highest standards for speed, simplicity, and trust. This co-innovation program lays the foundation for that future.Ready to discover how Gcore and Orange Business can deliver sovereign inference as a service for your business?Request a preview

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