Enhance Your 3D Rendering & Visualization
Achieve unparalleled realism in design, animation, and visual effects with advanced ray tracing and NVIDIA A5000 GPU-accelerated rendering.
Achieve unparalleled realism in design, animation, and visual effects with advanced ray tracing and NVIDIA A5000 GPU-accelerated rendering.
Handle complex simulations, big data analysis, and computational research effortlessly with precision computing and large memory capacity.
Unlock powerful visual computing with the GPU A5000, delivering cost efficiency and strong ROI for demanding workloads.
Our GPU A5000 is based on the RTX A5000 and built on NVIDIA’s Ampere architecture. It features 64 second-generation RT Cores, 256 third-generation Tensor Cores, 8,192 CUDA® cores, and 24GB of graphics memory, empowering exceptional performance in rendering, AI, graphics, and compute tasks in modern GPU Cloud Computing environments.
The NVIDIA A5000 excels in handling demanding workloads such as 3D rendering, video editing, and the creation of visual effects. Equipped with advanced features, it is particularly well-suited for AI-driven applications, enabling enhanced performance in scientific visualization, data analysis, and immersive virtual reality experiences. When combined with Hosted & Managed Kubernetes, the A5000 GPU seamlessly integrates into scalable, containerized workflows across research and enterprise use cases in Europe.
Our A5000 GPUs are in a server rack using 100% water cooling and leveraging a heat-reuse platform for sustainable, accelerated computations.
Create photorealistic architectural walkthroughs and real-time Building Information Modeling (BIM) simulations. The NVIDIA A5000 supports ray tracing and massive scene rendering in tools like V-Ray, Revit, and Unreal Engine.
From automatic scene tagging to real-time VFX previewing, the NVIDIA RTX A5000 enables post-production workflows that blend creativity with GPU acceleration.
Accelerate finite element analysis (FEA), fluid dynamics, or electromagnetic simulations in design platforms like ANSYS and COMSOL. The A5000 GPU offers the memory and compute bandwidth needed for iterative design at speed.
Our GPU A5000, based on NVIDIA RTX A5000, 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.gpua5000.small[currency] | number:8 }} |
Medium | 112 GB | 24 Cores | 2 GPU | 100 GB | 1.2 TB | {{ prices.opencompute.gpua5000.medium[currency] | number:8 }} |
Large | 224 GB | 48 Cores | 4 GPU | 100 GB | 1.6 TB | {{ prices.opencompute.gpua5000.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 A5000 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 NVIDIA A5000 GPUs—so you can launch workloads without worrying about drivers or CUDA compatibility.
GPU A5000 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 RTX A5000 cards deliver advanced GPU capabilities with powerful compute performance.
The GPU A5000 is optimized for visual computing, including advanced rendering and simulation workflows.
The NVIDIA RTX A5000 is equipped with 24GB of GDDR6 VRAM, which is designed to support high-end professional applications requiring significant memory capacity.
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 | A5000 |
Cuda Cores per card | 8192 |
Tensor Cores per card | 256 |
GPU memory per card | 24 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 powering advanced design, visualization, or AI development workloads in the cloud, a reliable partner makes all the difference. Our engineers have helped businesses across Europe run and scale NVIDIA A5000 GPU workloads with Exoscale.
Contact usDiscover more GPU Instances for Cloud Computing to power diverse compute, graphics, and AI tasks. Fully integrated with the Exoscale ecosystem.
Powered by NVIDIA A30. Perfect for AI inference, high-performance computing (HPC), and data-analytics workloads.
DiscoverBased on NVIDIA Tesla V100. Ideal for deep learning, neural-network training, and advanced AI workloads.
DiscoverPowered by NVIDIA A40 the all-rounder for AR/VR, complex simulations, rendering, AI, and more.
DiscoverNVIDIA GeForce RTX 3080 Ti is excellent for deep-learning model training, image processing, NLP, and more. 100 % liquid cooled with heat-reuse technology.
DiscoverNVIDIA RTX 6000 Pro, ultimate power for AI and graphics. Delivering cutting-edge rendering, massive memory, and breakthrough performance.
Contact UsNVIDIA HGX B300, next-generation performance for AI and HPC. Expect FP4 precision, massive GPU memory, and unmatched throughput.
Contact UsThe NVIDIA RTX A5000 is built for professional workloads including 3D rendering, architectural visualization, scientific computing, machine learning, and data visualization. With 24 GB of GDDR6 memory and thousands of CUDA, Tensor, and RT cores, it supports real-time ray tracing, large-scale simulations, and AI-accelerated workflows. This makes it a strong choice across industries such as architecture, engineering, product design, and media production, where both precision and performance are critical.
The RTX A5000 offers 24 GB GDDR6 memory, 8,192 CUDA cores, plus ray tracing and Tensor cores. The A30 and V100 are more specialized for large-scale AI/compute workloads, while the A40 is geared toward complex graphics, simulation, and advanced rendering. The A5000 strikes a balance—well suited for architectural visualization, simulation, AI workflows, and real-time rendering.
Yes. A5000 GPU instances integrate seamlessly with Exoscale services such as SKS (Managed Kubernetes), Object Storage, Block Storage, networking features, and DBaaS. This enables building complete AI, simulation, or rendering workflows within the Exoscale cloud platform.
We are offering NVIDIA A5000 GPU instances that combine powerful performance for AI, HPC, and visual computing with seamless integration into our full cloud ecosystem (Kubernetes, DBaaS, Storage). You benefit from flexible management via API/CLI/Terraform, transparent pay-as-you-go pricing, and a strong commitment to European data sovereignty. Also, all A5000 GPUs are 100% liquid-cooled, ensuring sustainable heat use and lower energy consumption.