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Boost Data Analytics Performance

Process and visualize large datasets in real-time with the RTX 3080 Ti's 12GB of high-speed GDDR6X memory. This powerful GPU enables swift analysis of big data, allowing for more informed decision-making and deeper insights into your business operations.

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Accelerate AI and Machine Learning

Supercharge your AI and machine learning workflows with the RTX 3080 Ti's 10,240 CUDA cores. Train complex models faster and deploy them with unprecedented efficiency, significantly reducing time-to-insight for your data science teams.

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Compute workloads not prices

​​Experience visual computing capabilities at a fair cost to performance ratio.

GPU 3080ti based on NVIDIA RTX 3080 Ti

The NVIDIA GeForce RTX 3080 Ti is powered by the Ampere architecture, featuring 10,240 CUDA cores and a boost clock of 1.67 GHz for exceptional performance. It comes equipped with 12GB of GDDR6X memory running at 19 Gbps, ensuring high-speed data transfer for cloud-hosted applications.


The GPU supports real-time ray tracing and AI-driven enhancements through dedicated RT and Tensor cores, delivering lifelike graphics and efficient deep learning applications. With a PCIe 4.0 interface and Resizable BAR support, the RTX 3080ti maximizes bandwidth and efficiency across various workloads.

Start your GPU 3080ti

AI-Powered performance

The 3080ti delivers high-speed AI processing, making it ideal for machine learning, deep learning, data analysis, and high-performance computing. Running in a server rack with 100% water cooling and a heat-reuse system, our GPUs offer powerful, sustainable computing for demanding workloads.


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Discover the best cost to performance ratio

Our GPU 3080ti comes at a fairly priced cost to performance ratio. Choose between three 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.gpu3080ti.small[currency] | number:8 }}
Medium 112 GB 24 Cores 2 GPU 100 GB 1.2 TB {{ prices.opencompute.gpu3080ti.medium[currency] | number:8 }}
Large 224 GB 48 Cores 4 GPU 100 GB 1.6 TB {{ prices.opencompute.gpu3080ti.large[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: AT-VIE-2

  4. [4]

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

  5. [5]

    This GPU is currently in the preview phase. Please register your interest by filling out the Contact us form. The availability SLA will only apply after the preview phase.

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.

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GPU 3080ti Features

Technical Specifications GPU 3080ti

Description Specifications
Graphic Card 3080ti
Cuda Cores per card 10240
Tensor Cores per card 320
GPU memory per card 12 GB
GPU cards 1-4
CPU cores 12-48
RAM per instance 56-224
SSD local storage max. 1.6 TB (NVMe)
Zone AT-VIE-2
Works with Compute
SKS
Docker NVIDIA

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Why GPU 3080ti on Exoscale

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  • Shared or dedicated Hypervisors
  • Large SSD Storage
  • No resource sharing
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  • Cutting edge GPUs
  • NVIDIA cards
  • Pass-through access
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  • Complete platform integration
  • Terraform support
  • API 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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