NVIDIA A16 64GB GDDR6 GPU | Data Center Graphics Card for Virtual Workstations, VDI, AI & Multi-User Computing
₹352,499
The NVIDIA A16 64GB GDDR6 GPU is a professional data center graphics solution designed for virtual workstations, virtual desktop infrastructure (VDI), AI workloads, and multi-user computing environments. With 64GB of GDDR6 memory, it is suited for enterprise deployments requiring GPU-accelerated graphics and shared virtualized computing resources.
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Key Features
- 64GB GDDR6 Memory: High-capacity GPU memory designed for demanding virtualized graphics and computing workloads.
- NVIDIA A16 Data Center GPU: Built for enterprise GPU virtualization and professional graphics applications.
- Virtual Workstations: Designed to support GPU-accelerated virtual workstation environments.
- VDI Ready: Suitable for virtual desktop infrastructure and multi-user enterprise deployments.
- Multi-User Computing: Designed for environments where multiple users require GPU-accelerated resources.
- AI Workloads: Suitable for selected AI, inference and GPU-accelerated computing applications.
- Professional Graphics: Supports demanding visualization and graphics workloads in virtualized environments.
- Enterprise Deployment: Designed for data centers, cloud infrastructure and professional server environments.
Specifications
| Specification | Details |
|---|---|
| Brand | NVIDIA |
| GPU Model | NVIDIA A16 |
| GPU Category | Data Center GPU |
| Architecture | NVIDIA Ampere |
| GPU Memory | 64GB |
| Memory Type | GDDR6 |
| Application | Virtual Workstations, VDI, AI & Multi-User Computing |
| Virtualization | GPU-Accelerated Virtualization |
| Graphics Workloads | Professional Graphics & Visualization |
| AI Workloads | AI, Inference & Accelerated Computing |
| Usage | Data Center, Enterprise & Cloud Infrastructure |
| Product Category | Data Center Graphics Card |
Ideal Applications
- Virtual desktop infrastructure (VDI)
- GPU-accelerated virtual workstations
- Multi-user graphics environments
- Enterprise desktop virtualization
- Professional visualization
- Remote workstation deployments
- AI and inference workloads
- Cloud GPU infrastructure
- Data center graphics
- Multi-user GPU computing
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