Process and visualize large datasets in real-time with 12GB of high-speed GDDR6X memory. This powerful 3080 Ti GPU enables swift analysis of big data, delivering faster insights and more informed decision-making for your business operations.
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.
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.
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 RTX 3080 Ti 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.
The NVIDIA RTX 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.
Accelerate your data workflows with the NVIDIA GeForce RTX 3080 Ti. Its high core count and fast GDDR6X memory enable responsive processing of large datasets, making it suitable for business intelligence dashboards, log parsing, and visual analytics. The RTX 3080 Ti delivers robust performance for GPU-accelerated data visualization in environments where cost-effective processing is crucial.
For researchers and developers working on compute-heavy tasks such as simulations, modeling, and data-driven experiments, the RTX 3080 Ti offers outstanding single-precision (FP32) performance and high memory bandwidth. Built on NVIDIA’s Ampere architecture, it delivers the parallel processing power and speed needed for GPU-accelerated scientific computing in performance-focused environments.
Our NVIDIA GeForce RTX 3080ti comes at a fairly priced cost-to-performance ratio. Choose between three different options, ranging from 1 to 4 GPUs, each with SSD storage ranging from 100 GB 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 }} |
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: AT-VIE-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.
Combine the simplicity and scalability of the Exoscale Cloud with the power of NVIDIA 3080ti 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 Instances and Exoscale Hosted & Managed Kubernetes.
The image template for Kubernetes worker nodes embeds the optimized version of the container runtime for GPU 3080ti cards, making it quick work to start any application from the catalog without fiddling with drivers and CUDA versions.
The NVIDIA RTX 3080 Ti comes with large SSD storage up to 1.6 TB to accommodate any kind of data, offering fast read/write speeds to handle massive datasets and demanding workloads.
Each GPU 3080ti instance provides dedicated GPU access with no resource sharing, ensuring bare-metal–like performance. This guarantees low latency and maximum throughput for deep learning, real-time rendering, and compute-intensive applications.
Harness the NVIDIA GeForce RTX 3080 Ti to power demanding workloads with speed and efficiency.
The GPU RTX 3080 Ti is s engineered for visual computing performance, making it perfect for 3D rendering and virtual production.
The NVIDIA RTX 3080ti comes with 12GB of GDDR6X memory, which contributes to the card's high performance in GPU-intensive tasks.
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 | 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 |
When running mission-critical AI, data analytics, or scientific workloads in the cloud, a reliable infrastructure partner makes all the difference. Our engineers help customers across Europe migrate, run, and scale demanding workloads on NVIDIA GPU 3080ti instances with Exoscale.
Contact usDiscover more GPU Instances for Cloud Computing to power diverse compute, graphics, and AI tasks. Fully integrated with the Exoscale ecosystem.
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DiscoverThe NVIDIA GeForce RTX 3080 Ti is a graphics card based on NVIDIA’s Ampere architecture. It offers excellent capabilities for GPU-intensive applications such as graphics rendering, AI workloads, and parallel computing, especially when deployed in virtualized or cloud environments.
The NVIDIA RTX 3080 Ti includes 10,240 CUDA cores, 12GB of GDDR6X memory, and a 384-bit memory interface with up to 912 GB/s bandwidth. It runs at a boost clock of 1.67 GHz and supports PCIe 4.0, real-time ray tracing, and DLSS. This makes it ideal for demanding compute, AI, and graphics applications.
The RTX 3080 Ti excels in AI training, deep learning, big data analytics, and GPU-accelerated simulations. Its powerful core architecture and high memory bandwidth enable smooth handling of complex models and datasets. It’s also well-suited for 3D rendering and high-performance visual computing.
The NVIDIA RTX 3080 Ti is built for high-throughput workloads like AI inference, data analytics, and visual computing, offering excellent performance. The Tesla V100, on the other hand, is designed for large-scale scientific computing and deep learning training. For cost-effective acceleration, the 3080 Ti is ideal; for precision-heavy, enterprise workloads, the V100 is a better fit.
