NVIDIA A40
Best powerhouse for large-scale AI training and professional visualization workflows.
Unleash incredible performance with the NVIDIA A40 GPU, powered by the groundbreaking Ampere architecture. This GPU is engineered for demanding AI training, deep learning, and high-performance computing. It features 48GB of GDDR6 memory and 10,752 CUDA cores, making it perfect for tackling large-scale AI models and professional visualization. The A40 offers enhanced power efficiency and advanced ray tracing capabilities, supporting virtual workstation applications with robust data center features.
$8849.00
Owner Satisfaction
4.7
/ 5
Category Rank
14
/ 104
#14 in Server GPU
Price vs Category Average
+79%
Above average
Memory Bandwidth
696
/ GB/s
Who it's for
- Data center architects optimizing high-density server rack deployments
- IT managers scaling virtual desktop infrastructure across large teams
- Engineers processing massive 3D datasets and complex simulation models
Who should skip it
- Small businesses or individual users with limited hardware budgets
- System builders lacking specialized high-airflow server chassis environments
- Gamers or desktop users seeking standard consumer graphics performance
Performance breakdown
Large Model Capacity
Massive 48GB memory buffer handles complex AI datasets with ease.
Compute Throughput
Ampere architecture delivers blistering speed for demanding deep learning tasks.
Multi-GPU Scalability
High-bandwidth NVLink ensures seamless performance across multi-card server clusters.
Visualization Fidelity
Advanced RT cores render professional-grade graphics with stunning real-time precision.
Inference Efficiency
Optimized Tensor cores provide rapid response times for production-level AI workloads.
Data Center Versatility
Robust design excels in both virtual workstations and heavy compute environments.
Key Specs
Memory Bandwidth
696 GB/s
FP16 Tensor Performance
149.7 TFLOPS
NVLink Bandwidth
112.5 GB/s
CUDA Cores
10752
Memory
48GB GDDR6
Ray Tracing Support
true
GPU Chipset Manufacturer
NVIDIA
Video Memory
48 GB
Features
- Powered by NVIDIA Ampere Architecture
- Accelerates AI training with Tensor Cores
- 48GB GDDR6 memory for complex AI models
- Advanced ray tracing with RT Cores
- Designed for large-scale AI and HPC
- Supports inference and compute-heavy tasks
- High-bandwidth NVLink for multi-GPU scaling
What customers say
Enterprise users overwhelmingly value the NVIDIA A40 for its exceptional performance in demanding professional workloads like AI training and rendering. The massive 48GB memory is frequently highlighted as essential for managing huge datasets and complex models effectively. Professionals rely on the A40's robust stability, which ensures consistent operation in data centers with minimal interruption. Its seamless integration with the mature NVIDIA software ecosystem further boosts its appeal. While the initial cost is high, customers see the A40 as a strategic investment that accelerates research and development cycles, proving its significant return on investment for compute intensive applications.
Know before you buy
The A40 is built for data center tasks that require significant compute power, specifically large-scale AI training, deep learning, and high-end professional visualization. It is also highly effective for virtual workstation deployments where multiple users require consistent, high-performance graphics.
The large 48GB memory capacity allows you to load and process much larger datasets and more complex AI models that would otherwise exceed the memory limits of standard GPUs. This reduces the need for data offloading and helps maintain faster training and inference speeds.
Yes, the A40 supports high-bandwidth NVLink, which allows you to connect multiple GPUs to work in tandem. This is ideal for scaling performance across demanding compute-heavy tasks or massive rendering projects.
Yes, it features dedicated RT Cores that enable advanced, real-time ray tracing. This makes it a powerful tool for professional rendering, architectural visualization, and cinematic content creation.
No, the A40 is a server-grade GPU designed for professional data center environments, not consumer gaming. It lacks the display outputs and cooling configurations found on desktop graphics cards, and its drivers are optimized for enterprise applications rather than gaming performance.
The Ampere architecture provides significant improvements in power efficiency and compute throughput compared to previous generations. It specifically enhances Tensor Core performance, which is critical for accelerating AI training and inference workflows.
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