Speed up graphics & simulation workflows
Improve performance for heavy workloads, like complex 3D computer-aided design (CAD) or computer-aided engineering (CAE).
Improve performance for heavy workloads, like complex 3D computer-aided design (CAD) or computer-aided engineering (CAE).
Workloads like data science and simulation require large memory. Ultra-fast GDDR6 memory allows you to handle such massive workloads and datasets easily.
Experience visual computing capabilities at a fair cost to performance ratio.
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.
A40 is designed to enable the most advanced visualization workloads. With 2-times the throughput compared to previous generation, this GPU offers yet another speedup to heavy workloads like ray-traced motion blur or movie content.
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 immersive AR and VR, you are well prepared with GPU3.
Our GPU3 comes at a fairly priced cost to performance ratio. Choose between four different options, from 1 to 8 GPUs coming with SSD storage from 100 GB up to 1.6 TB depending on the chosen instance type.
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. Rendering of ray-traced motion blur can be done in a significantly reduced timeframe. With the new generation of RT Cores used by the GPU3 the throughput is 2-times as high as with previous generations resulting in a massive performance increase.
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 with no resource sharing for bare metal performance.
NVIDIA cards provide the latest generation of GPU cards allowing for high compute power.
The GPU3 A40 is optimized for visual computing.
48GB GPU RAM capacity per card to load the largest datasets, matched by even higher instance RAM.
As a true European Cloud Provider all data is stored in the country of your chosen zone, fully GDPR compliant. DBaaS is available in every zone across Europe.
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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