- NVIDIA Blackwell (2024)
- 8 GPUs NVIDIA B300-SXM
- 288 GB VRAM (HBM3e, 7.7 TB/s)
- 224 vCPUs (Xeon 6)
- 3,840 GB DDR5 RAM
- 23.3 TB ephemeral Scratch NVMe
- 99.5% SLA
Billed per minute
¹ Price and specs for 8 GPUs
Choose the right GPU
Finding the right GPU instance can be tricky, but we've made it easy. We have a wide range of offerings available, so you can explore all your options and compare them side-by-side.
Explore our GPU options
With thousands of machines, Scaleway has one the largest fleet of GPU Instances in Europe. We give European AI startups the tools to create products that revolutionize how we work and live, without a considerable CAPEX investment.
H100-SXM
Ideal for LLM fine-tuning and larger LLM model Inference.
From €2.88/GPU/hour¹
- NVIDIA Hopper (2022)
- 2-8 GPUs NVIDIA H100-SXM
- 80 GB VRAM (HBM3, 3.35 TB/s)
- 32-128 vCPUs (Sapphire Rapids)
- 240-960 GB DDR5 RAM
- 3.2-12,8 TB ephemeral Scratch NVMe
- 99.5% SLA
Billed per minute
¹ Price and specs for 8 GPUs
- NVIDIA Hopper (2022)
- 1-2 GPUs NVIDIA H100 (PCIe 5)
- 80 GB VRAM (HBM2e, 2TB/s)
- 24-48 vCPUs (AMD Zen 4)
- 240-480 GB DDR5 RAM
- 3-6 TB ephemeral Scratch NVMe
- 99.5% SLA
Billed per minute
- NVIDIA Ada Lovelace (2022)
- 1-8 NVIDIA L4 (PCIe 4)
- 48 GB VRAM (GDDR6, 864 GB/s)
- 8-64 vCPUs (AMD Zen 3)
- 96-768 GB DDR4 RAM
- 1.6-12.8 TB ephemeral Scratch NVMe
- 99.5% SLA
Billed per minute
- NVIDIA Ada Lovelace (2022)
- 1-8 GPUs NVIDIA L4 (PCIe 4)
- 24 GB VRAM (GDDR6, 300GB/s)
- 8-64 vCPUs (AMD Zen 3)
- 48-384 GB DDR4 RAM
- 99.5% SLA
Billed per minute
GPU: instance, server, or cluster?
Find your ideal AI solution
GPU Instances are perfect for workloads such as Inference LLM and AI chatbots, with flexible configurations to suit your needs.
For large-scale AI and high-performance computing (HPC) tasks, our AI Supercomputers deliver exceptional computational power and are optimized for intensive parallel processing.
Whether you need flexibility or specialized, high-performance resources, we provide the right solution for your AI and HPC workloads.
Stop the guessing game: estimate your costs
Choose your plan
Estimated cost
| Option and value | Price |
|---|---|
| ZoneParis 1 | |
| Instance1x | 0€ |
| Volume10GB | 0€ |
| Flexible IPv4No | 0€ |
Frequently asked questions
What is a GPU?
Graphical Processing Units (GPU) are specialized hardware originally designed for rendering graphics in video games and other 3D applications. However, their massively parallel architecture makes them ideal for various high-performance computing tasks, such as deep learning, massive machine learning, data processing, scientific simulations, and more.
What is a cloud GPU Instance ?
A cloud GPU Instance refers to a virtual computing environment that offers access to powerful GPUs over the internet.
How quickly can I get started?
In which regions and Availability Zones are Scaleway GPU Instances available?
Our GPU Instances are available in the fallowing regions: Paris (PAR-2, and also PAR-1 for the L4 GPU Instance) and Warsaw (WAW-2). You can check the Instance availability guide to discover where each GPU Instance is available.
How am I billed for GPU Instances consumption?
You can opt for a “pay as you go” model (by the minute), paying only for what you consume. This approach gives you the flexibility to provision resources and delete resources when needed.
Can I use GPU Instances with Kubernetes?
Which operating systems are available?
GPU OS 12 is a specialized OS image based on Ubuntu 24.04 (Noble), optimized for GPU-accelerated workloads. It comes pre-installed with the NVIDIA driver, Docker, and NVIDIA's Container Toolkit, providing an environment for running containerized applications. This image is designed to work efficiently with NVIDIA NGC container images, enabling rapid deployment of GPU-accelerated applications, such as machine learning and data processing workloads.
Do you offer Service Level Agreements?
Yes, we offer a 99.5% SLA on all GPU Instances. Learn more here.
What type of support is available?
Scaleway offers 4 different support plans to match your needs: Basic, Advanced, Business, and Enterprise. You can find all the information, including pricing, here.