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ai-PULSE 2024 white paper - discover the insights!

Unbeatable price/performance ratio

The new GPU-3070 offer is up to 40% more powerful and 21% less expensive than Render-S, helping you discover new horizons.

Many complementary cloud services

Take advantage of Block Storage and our S3 compatible Object Storage, easily orchestrate your containers with Kubernetes Kapsule for no extra-charge, and store your images in our fully managed Container Registry.

Using Sustainable GPU

GPU-3070 is built on the high-end, energy-efficient NVIDIA® RTX 3070 in fr-par-2 – our sustainable, adiabatic datacenter which makes your GPU usage more eco-friendly.

Technical Specifications

  • gpu

    GPU

    NVIDIA® RTX 3070

  • processor

    Processor

    AMD EPYC™ 7003 Series

  • processor_frequency

    Processor Frequency

    2.65 GHz

  • gpu_memory

    GPU Memory

    8GB GDDR6

  • memory

    Memory

    16 GB

  • memory_type

    Memory type

    DDR4

  • bandwidth

    Bandwidth

    2.5 Gbps

  • storage

    Storage

    Block Storage on demand

Outstanding features for your GPUs

High-end specifications

We paired one of the best processors – AMD EPYC™ 7003 Series with a world-class NVIDIA® RTX 3070 for your intensive workload.

API, CLI & SDK

We designed a suite of tools to support developers. Your infrastructure can be managed with our API and SDKs, using Terraform or with the scw command-line interface (CLI).

Your own dedicated GPU

Scaleway GPU-3070 Instances come with your own dedicated GPU powered by NVIDIA® CUDA®.

Scaleway ecosystem integration

Make your life easier by leveraging the Scaleway cloud services ecosystem with our Block Storage, Object Storage, Container Registry, and Kubernetes Kapsule.

Kubernetes-ready ecosystem

Deploy your Kubernetes nodes simply and easily with Kubernetes Kapsule, or accelerate your Docker containers with the NVIDIA® Container Toolkit to save valuable time.

Private Networks

Private Networks is compatible with GPU Instances at no extra cost. Privates Networks enables you to create your own layer-2 private networks between your Development Instances, General Purpose Instances and GPU Instances.

Quick and simple GPU-3070 acceleration

Our GPU 3070 Instances are built to supercharge your GPU workloads, whether you need one or several standalone GPU Instances, such as Jupyter Notebook, or want to deploy a Kubernetes cluster.

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Discover more use cases

with GPU Render Instances

GPU Render instances are the previous generation of Scaleway GPU instances powered by dedicated NVIDIA® Tesla® P100s. Designed for AI and rendering, they support demanding workloads.

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