Accelerate deep learning, advanced visual computing, and demanding data science workloads in Europe with Exoscale GPU3 instances, powered by NVIDIA A40 GPUs. Experience cutting-edge performance and GDPR-compliant cloud infrastructure.
Improve performance for compute-heavy workloads, like complex 3D computer-aided design (CAD) or computer-aided engineering (CAE) and real-time rendering.
Process Massive Datasets for AI
Tackle large-scale data science projects, complex simulations, and AI model training with ease, thanks to the NVIDIA A40's 48 GB of ultra-fast GDDR6 memory per card.
Optimal Cost-to-Performance Ratio
Experience premium visual computing and AI acceleration at a highly competitive cost. Exoscale offers flexible GPU3 A40 Nvidia instance types, ensuring you only pay for the compute power you need.
GPU3 based on NVIDIA A40
Our GPU3 is based on NVIDIA A40 graphic cards known for powerful visual computing capabilities. The Ampere GPU architecture is opening a new era in performance and multi-workload capabilities. By combining the latest Ampere RT Cores, Tensor Cores and CUDA Cores with 48 GB of graphics memory, the NVIDIA A40 delivers a unique set for visual computing workloads and scalable GPU Cloud Computing scenarios.
This makes the A40 great for advanced visuals, speeding up demanding jobs like realistic rendering and creating high-quality content twice as fast. Plus, its improved Tensor Cores significantly boost AI and deep learning training.
NVIDIA A40 is your starting point for many of the latest visual technical developments. Whether it is cave automatic virtual environments (CAVEs), broadcast-grade streaming, working with multiple video streams, or immersive AR and VR, you are well-prepared with GPU A40 instances.
The A40’s capabilities align perfectly with the growing trends in immersive experiences and real-time content generation across Europe.
Rendering Made Easy
Make photorealistic rendering, architectural design evaluations or virtual prototyping faster than ever. The NVIDIA A40’s second-generation RT Cores accelerate ray-traced motion blur and complex scene rendering in significantly reduced timeframes.
With a 2 times throughput increase over previous generations, GPU3 instances deliver a massive performance leap for all your rendering needs.
Accelerate simulation and engineering workflows
NVIDIA GPU A40 instances in Europe provide the memory and compute power needed for large-scale simulation, CAE, and engineering visualization—ideal for industries like automotive, aerospace, and manufacturing.
Why GPU A40 on Exoscale
Shared or dedicated Hypervisors
Large SSD Storage
No resource sharing
Cutting-edge GPU A40 technology
NVIDIA A40 cards
Direct GPU pass-through access
Complete cloud platform integration
Full Terraform automation support
Comprehensive API management support
Discover the best cost-to-performance ratio
Our GPU3, based on NVIDIA A40, comes at a fairly priced cost to performance ratio. We provide four distinct instance options, scaling from 1 to 8 NVIDIA A40 GPUs, each paired with high-performance NVMe SSD storage ranging from 100 GB up to 1.6 TB, depending on your chosen instance type. This flexibility ensures you can optimize your infrastructure for both budget and computational demands.
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]
Instance needs to be shutdown for hypervisor and platform updates as it cannot be live-migrated.
GPU3 Large and Huge Instances are only available on dedicated hypervisors.
[5]
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 NVIDIA A40 GPU Instances
Combine the simplicity and scalability of the Exoscale Cloud with the power of NVIDIA A40 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 A40 GPUs—so you can launch workloads without worrying about drivers or CUDA compatibility.
Nvidia A40 instances come with large NVMe SSD storage up to 1.6 TB to accommodate any kind of data.
No Resource Sharing
Each card is provided directly to your instance, guaranteeing maximum throughput and consistent performance.
Reliable Performance for Diverse Workloads
The NVIDIA A40 delivers solid compute power and efficiency, making it a proven choice for AI inference, visualization, and HPC tasks.
Optimized for Visual Computing & AI
The NVIDIA A40 GPU is specifically designed and optimized to excel in professional visual computing tasks, deep learning training, and complex data analysis, offering superior performance where it matters most.
Aligned RAM Ratio
Each NVIDIA A40 card comes with 48GB of GDDR6 GPU memory, perfectly matched by even higher instance RAM, enabling you to load and process the largest datasets and complex models without bottlenecks.
Secure Data Storage in Europe
As a sovereign European Cloud Provider, Exoscale ensures all your data is stored in the country of your chosen zone, fully GDPR compliant.
Choose from a Wide Selection of Officially Supported Templates
Trusted across Europe: Power graphics & AI with NVIDIA A40
When running graphics-intensive, rendering, or AI inference workloads in the cloud, having a trusted partner makes all the difference. Our engineers have supported customers across Europe in deploying and scaling NVIDIA A40 GPU workloads with Exoscale.
NVIDIA GeForce RTX 3080 Ti is excellent for deep-learning model training, image processing, NLP, and more. 100 % liquid cooled with heat-reuse technology.
Entry-level all-rounder leveraging NVIDIA RTX A5000. Fully liquid cooled with heat-reuse for sustainable accelerated computing. Great for AR/VR, simulations, rendering, and AI.
What workloads are best suited for the NVIDIA A40?
The NVIDIA A40 is ideal for visual computing workloads such as 3D rendering, AR/VR environments, engineering simulation, and high-end content creation. It combines Tensor, CUDA, and RT cores with 48 GB of memory to handle graphics-intensive and compute-heavy tasks efficiently.
How does the NVIDIA A40 compare to previous generations?
Compared to older GPUs, the NVIDIA A40 offers significantly improved performance—especially in ray tracing, deep learning inference, and simulation. It delivers up to 2-times the throughput for workloads such as ray-traced motion blur or large-scale data visualization.
Can I combine NVIDIA A40 GPU instances with other Exoscale services?
Yes. You can integrate NVIDIA A40 GPU instances with Exoscale services such as SKS (Managed Kubernetes), DBaaS, and Object Storage. Full Terraform and API support allow for seamless orchestration of your infrastructure.
How can I scale NVIDIA A40 GPU workloads on Exoscale?
You can easily add or remove A40 GPU instances to match your workload needs. While the GPU type of an existing instance cannot be changed directly, you can deploy additional instances or adjust resources using Terraform, API, or Managed Kubernetes (SKS).
