NVIDIA A40
GPU architecture NVIDIA Ampere
Professional GPU accelerator for obli, graphics and virtual workstations
10752 NVIDIA CUDA cores for advanced parallel computing
336 Tensor cores for accelerating AI models and deep learning
48 GB GPU memory with ECC for working with large models and 3D scenes
Memory bandwidth up to 696 GB/s
Interface PCIe 4.0 x16 for high data throughput
Passive cooling designed for servers and data centres
Maximum power consumption: 300 W
Free shipping from €300
Promocja cenowa na model HDR-15-5
Product intended for professional use only
NVIDIA A40
Description
NVIDIA A40 GPU accelerator for graphics, AI and data centres
NVIDIA A40 is a professional GPU accelerator designed to support a wide range of workloads in modern data centres. Based on the NVIDIA Ampere architecture, the chip combines high computational performance with advanced graphics rendering capabilities to support both AI applications and demanding graphics environments.
The card is the foundation for a new generation of virtual workstations, design systems and rendering platforms. With its high computing power and massive GPU memory, it enables advanced 3D models, simulations, and artificial intelligence applications.
NVIDIA Ampere and Tensor Cores
The accelerator features 10752 CUDA cores and 336 Tensor cores to accelerate computations used in AI systems, simulations and data analysis. This enables the GPU to both train machine learning models and rapidly deploy them in production environments.
Additionally, the card offers 48 GB of GPU memory with ECC and a bandwidth of up to 696 GB/s to support very large graphics scenes, AI models and complex engineering calculations.
CUDA cores
Tensor cores
GPU memory with ECC
memory bandwidth
GPU for virtual workstations and 3D rendering
The NVIDIA A40 is designed for graphics- and compute-intensive environments. With support for ray tracing technology and the NVIDIA vGPU platform, the card enables scalable virtual workstation environments accessible from anywhere.
The accelerator finds applications in areas such as:
- CAD design and engineering visualisation
- 3D graphics rendering
- virtual film production
- digital twins and simulation
- digital content creation (DCC)
- real-time rendering
GPU applications in AI and data analysis
The NVIDIA A40 is also used in artificial intelligence and data analysis systems, where high performance parallel computing is required.
LLM and conversational systems
VLM and image analysis
AI with knowledge base
big data and AI enterprise
scientific computing
scalable GPU clusters
GPUs for data centre infrastructure
With passive cooling and PCIe 4.0 x16, the NVIDIA A40 is designed for installation in servers and high-density GPU clusters. Its maximum power consumption of 300 watts allows for efficient power usage in enterprise environments.
The GPU can be used in data centres supporting:
- virtualised workstations
- rendering and 3D graphics
- AI platforms
- scientific simulation
- enterprise data analysis
Technical Specification
| GPU Memory | 48 GB GDDR6 with error-correcting code (ECC) |
|---|---|
| GPU Memory Bandwidth | 696 GB/s |
| Interconnect | NVIDIA NVLink 112.5 GB/s (bidirectional) PCIe Gen4: 64 GB/s |
| NVLink | 2-way low profile (2-slot) |
| Display Ports | 3x DisplayPort 1.4* |
| Max Power Consumption | 300 W |
| Form Factor | 4.4" (H) x 10.5" (L), Dual Slot |
| Thermal | Passive |
| vGPU Software Support | NVIDIA Virtual PC, NVIDIA Virtual Applications, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server, NVIDIA AI Enterprise |
| vGPU Profiles Supported | See the Virtual GPU Licensing Guide |
| NVENC | NVDEC | 1x | 2x (includes AV1 decode) |
| Secure and Measured Boot with Hardware Root of Trust | Yes (optional) |
| NEBS Ready | Level 3 |
| Power Connector | 8-pin CPU |
* A40 is configured for virtualization by default with physical display connectors disabled. The display outputs can be enabled via management software tools.
