Lighten resource-heavy tasks
Make resource-heavy tasks like video encoding or streaming easier to handle with our GPU1. Your system will experience less load while at the same time accelerating output.
Make resource-heavy tasks like video encoding or streaming easier to handle with our GPU1. Your system will experience less load while at the same time accelerating output.
3D rendering and calculations have never been faster. Embrace a new performance era for converting 3D models into 2D images or run geometric algebra computation by relying on our GPUs.
Experience high performance computing (HPC) at a fair cost to performance ratio.
Our GPU1 is based on NVIDIA Tesla P100 graphic cards known for infinite compute power. The Pascal GPU architecture allows acceleration of both HPC and AI. Throughput is massively increased while providing an affordable price.
This GPU architecture and product is designed for discovering new ways in deep learning applications. Projects in need of high performance, strong-scale applications or minimum time to solution are well advised to give this GPU a try.
Unparalleled performance for HPC applications and deep learning training workloads. Data scientists and researchers are only two of many examples, who can leverage our GPU1 to ease their work. Most major deep learning frameworks, like Caffe, Tensorflow, and CNTK, are optimized for NVIDIA GPUs.
Our GPU1 comes at a fairly priced cost to performance ratio. Choose between four different options, from 1 to 4 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.gpu.small[currency] | number:8 }} |
Medium | 90 GB | 16 Cores | 2 GPU | 100 GB | 1.2 TB | {{ prices.opencompute.gpu.medium[currency] | number:8 }} |
Large | 120 GB | 24 Cores | 3 GPU | 100 GB | 1.6 TB | {{ prices.opencompute.gpu.large[currency] | number:8 }} |
Huge | 225 GB | 48 Cores | 4 GPU | 100 GB | 1.6 TB | {{ prices.opencompute.gpu.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: CH-GVA-2
Please note that GPU instances require account validation: access is provided with priority to established businesses, and is granted after a manual screening process.
Physics Simulations, Molecular Dynamics, or Quantum Chemistry are only some of HPC sectors that benefit from the GPU resources. High and complex workloads, like Monte Carlo simulations or SLURM workloads, or calculation needs from these industries can be well handled with the Tesla P100 graphic cards.
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 GPU Tesla P100 is optimized for deep learning applications, as well as AI and High Performance Computing (HPC).
16GB 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 | Tesla P100 |
Cuda Cores per card | 3584 |
Tensor Cores per card | 0 |
GPU memory per card | 16 GB |
GPU cards | 1-4 |
CPU cores | 12-48 |
RAM per instance | 56-225 |
SSD local storage | max. 1.6 TB (SATA) |
Zone | CH-GVA-2 |
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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