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Why Gcore

GPU Cloud

GPU Cloud

Powerful, scalable, and globally available GPUs in the cloud

GPUs for every AI workload

L40S

Optimized for AI inference, 3D rendering, and simulations
Ideal for media production, gaming, and design applications
From €1.28/hour

A100

Multi‑instance GPU (MIG) for AI inference, data analytics, and HPC
Scalable with or without InfiniBand
From €1.25/hour

H100

Advanced tensor cores for large‑scale AI/ML training and HPC
Designed for high‑performance AI model development
From €2.90/hour

H200

Next-gen architecture for cutting‑edge AI and real‑time applications
High efficiency and performance for AI and HPC
From €3.00/hour

GB200

Ultra‑efficient compute for cost‑conscious AI inference and HPC
Balanced performance for AI/ML and analytics workloads

Next-gen AI and ML with GPU Cloud

Optimized for AI and ML

Run AI and ML workloads with precision. Gcore GPU Cloud supports TensorFlow, PyTorch, and JAX for training and deployment on NVIDIA GPUs.

Optimized for AI and ML

Flexible and scalable

Get started with pre-configured environments and containerized workloads using Docker and Kubernetes. Scale on demand with multi-instance GPUs and high-speed networking.

Flexible and scalable

Secure and globally available

Deploy anywhere with global GPUs. Benefit from enterprise-grade security, high uptime, DDoS protection, and compliance.

Secure and globally available

Comprehensive feature set for AI training and inference

Comprehensive feature set for AI training and inference

Bare metal GPU performance

Automated API and Terraform control

Intelligent auto‑scaling

Ultra‑fast InfiniBand networking

Multi‑GPU cluster support

Flexible on‑demand and reserved pricing

Powering AI, HPC, and next‑gen computing

AI model training

  • Train large language models (LLMs) and deep learning networks faster with high-performance GPUs optimized for large‑scale workloads.

AI inference at scale

  • Deploy and run real‑time AI applications with ultra‑low latency, ensuring fast decision‑making for critical use cases like chatbots, recommendation engines, and autonomous systems.

High-Performance Computing (HPC)

  • Solve complex scientific and engineering problems, from genomics and computational fluid dynamics to financial modeling and risk analysis.

Generative AI and deep learning

  • Power generative AI applications, including image synthesis, video generation, and AI‑powered content creation.

3D rendering and simulations

  • Accelerate visual effects, gaming, and CAD modeling with industry‑leading GPU performance for rendering and physics simulations.

Big data and AI‑powered analytics

  • Process massive datasets with machine learning‑driven insights, supporting industries like finance, healthcare, and cybersecurity.