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speed up graphics and simulation workflows

Speed Up Graphics & Simulation Workflows

Improve performance for compute-heavy workloads, like complex 3D computer-aided design (CAD) or computer-aided engineering (CAE) and real-time rendering.

massive AI datasets processing

Process Massive Datasets for AI

Tackle large-scale data science projects, complex simulations, and AI model training with ease, thanks to the NVIDIA A40's 48 GB of ultra-fast GDDR6 memory per card.

Optimal Cost-to-Performance Ratio

Optimal Cost-to-Performance Ratio

Experience premium visual computing and AI acceleration at a highly competitive cost. Exoscale offers flexible GPU3 instance types, ensuring you only pay for the compute power you need.

GPU3 based on NVIDIA A40

Our GPU3 is based on NVIDIA A40 graphic cards known for powerful visual computing capabilities. The Ampere GPU architecture is opening a new era in performance and multi-workload capabilities. By combining the latest Ampere RT Cores, Tensor Cores and CUDA Cores with 48 GB of graphics memory the A40 delivers a unique set for visual computing workloads.


This makes the A40 great for advanced visuals, speeding up demanding jobs like realistic rendering and creating high-quality content twice as fast. Plus, its improved Tensor Cores significantly boosts AI and deep learning training.

Start your A40 GPU3 Instance

Stay on Top of the Latest Visual Developments

GPU3 is your starting point for many of the latest visual technical developments. Whether it is cave automatic virtual environments (CAVEs), broadcast-grade streaming, working with multiple video streams, or building immersive Augmented Reality (AR) and Virtual Reality (VR) applications, GPU3 provides the robust foundation you need. The A40’s capabilities align perfectly with the growing trends in immersive experiences and real-time content generation across Europe.

Discover the Best Cost to Performance Ratio

Discover great cost-to-performance ratio that GPU3 instances offer. We provide four distinct instance options, scaling from 1 to 8 NVIDIA A40 GPUs, each paired with high-performance NVMe SSD storage ranging from 100 GB up to 1.6 TB, depending on your chosen instance type. This flexibility ensures you can optimize your infrastructure for both budget and computational demands.

RAM CPU Cores GPU Cards Min Local Storage Max Local Storage Price / Hour ({{ currency | uppercase }})
Small 56 GB 12 Cores 1 GPU 100 GB 800 GB {{ prices.opencompute.gpu3.small[currency] | number:8 }}
Medium 120 GB 24 Cores 2 GPU 100 GB 1.2 TB {{ prices.opencompute.gpu3.medium[currency] | number:8 }}
Large 224 GB 48 Cores 4 GPU 100 GB 1.6 TB {{ prices.opencompute.gpu3.large[currency] | number:8 }}
Huge 448 GB 96 Cores 8 GPU 100 GB 1.6 TB {{ prices.opencompute.gpu3.huge[currency] | number:8 }}
  1. [1]

    Local Storage is not included in the displayed Instances price, and has a cost of {{ prices.opencompute.volume[currency] | number:8 }} {{ currency | uppercase }} / GiB hour.

  2. [2]

    Instance needs to be shutdown for hypervisor and platform updates as it cannot be live-migrated.

  3. [3]

    Available in the following Zones: DE-FRA-1

  4. [4]

    GPU3 Large and Huge Instances are only available on dedicated hypervisors.

  5. [5]

    Please note that GPU instances require account validation: access is provided with priority to established businesses, and is granted after a manual screening process.

Rendering Made Easy

Make photorealistic rendering, architectural design evaluations or virtual prototyping faster than ever. The NVIDIA A40’s second-generation RT Cores accelerate ray-traced motion blur and complex scene rendering in significantly reduced timeframes. With a 2 times throughput increase over previous generations, GPU3 instances deliver a massive performance leap for all your rendering needs.

Level Up with NGC on Exoscale GPUs

Combine the simplicity and scalability of the Exoscale Cloud with the power of NVIDIA GPUs. With our Docker based template you can access the full potential of the NVIDIA GPU Cloud (NGC) and significantly reduce time to solution.


NVIDIA GPU Cloud (NGC) provides a selected set of GPU-optimized software for artificial intelligence applications, visualizations and HPC. The NGC Catalog includes containers, pre-trained models, Helm charts for Kubernetes deployments and specific AI toolkits with SDKs.


NGC catalog works with both Exoscale Compute and Exoscale SKS. The image template for SKS worker nodes embeds the optimized version of the container runtime for Nvidia cards making it quick work of starting any application from the catalog without fiddling with drivers and CUDA versions.

Learn more

GPU3 Features

Technical Specifications GPU3

Description Specifications
Graphic Card A40
Cuda Cores per card 10572
Tensor Cores per card 336
GPU memory per card 48 GB
GPU cards 1-8
CPU cores 12-96
RAM per instance 56-448
SSD local storage max. 1.6 TB (NVMe)
Zone DE-FRA-1
Works with Compute
SKS
Docker NVIDIA

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Why GPU3 on Exoscale

dedicated compute instance
  • Shared or dedicated hypervisor options
  • Large high-performance SSD storage
  • No resource sharing guaranteed
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  • Cutting edge GPU technology
  • Best cost/perfomance NVIDIA cards
  • Direct GPU pass-through access
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  • Complete cloud platform integration
  • Full Terraform automation support
  • Comprehensive API management support
Choose from a Wide Selection of Officially Supported Templates
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Trusted by Engineers Across Europe.

When running mission critical production workloads in the cloud, a partner you can rely on makes all the difference. Our customer success engineers have helped hundreds of customers from all over Europe migrate, run and scale production workloads on Exoscale.

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