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.
Improve performance for compute-heavy workloads, like complex 3D computer-aided design (CAD) or computer-aided engineering (CAE) and real-time rendering.
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.
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.
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.
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 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 }} |
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.
Instance needs to be shutdown for hypervisor and platform updates as it cannot be live-migrated.
Available in the following Zones: DE-FRA-1
GPU3 Large and Huge Instances are only available on dedicated hypervisors.
Please note that GPU instances require account validation: access is provided with priority to established businesses, and is granted after a manual screening process.
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.
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.
GPU3 instances come with large SSD storage up to 1.6 TB to accommodate any kind of data.
Each card is provided directly provided directly to your instance, guaranteeing maximum throughput and consistent performance.
NVIDIA cards provide the latest generation of GPU cards providing unparalleled compute power and efficiency for demanding workloads across various industries.
The NVIDIA A40 GPU is specifically designed and optimized to excel in professional visual computing tasks, deep learning training, and complex data analysis, offering superior performance where it matters most.
Each NVIDIA A40 card comes with 48GB of GDDR6 GPU memory, perfectly matched by even higher instance RAM, enabling you to load and process the largest datasets and complex models without bottlenecks.
As a sovereign European Cloud Provider, Exoscale ensures all your data is stored in the country of your chosen zone, fully GDPR compliant.
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 |
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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