Register
Boost Data Analytics Performance

Boost Data Analytics Performance

Process and visualize large datasets in real-time with 12GB of high-speed GDDR6X memory. This powerful GPU enables swift analysis of big data, delivering faster insights and more informed decision-making for your business operations.

Accelerate AI and Machine Learning

Accelerate AI and Machine Learning

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

maximize your value without compromises

Maximize Value Without Compromise

Achieve enterprise-grade visual computing performance at an exceptional price point. Get the computational power you need for demanding workloads while maintaining cost efficiency and delivering superior ROI for your organization.

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.


Read More

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.

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

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

Resources

Portal

Get started in our integrated environment with just a few clicks.

Why GPU 3080ti on Exoscale

dedicated compute instance
  • Shared or dedicated hypervisor options
  • Large high-performance SSD storage
  • No resource sharing guaranteed
gpu product picto
  • Cutting edge GPU 3080ti technology
  • Latest NVIDIA 3080ti cards
  • Direct GPU pass-through access
cloud orchestration picto
  • Complete cloud platform integration
  • Full Terraform automation support
  • Comprehensive API management support
Choose from a Wide Selection of Officially Supported Templates
Multiple OS images support picto

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.

Contact us