Nvidia Tesla A10 - Tensor Core GPU – 24GB GDDR6, PCIe Gen 4.0
🖥️ NVIDIA A10 24GB Tensor Core GPU – PCIe Gen 4.0, Data Center & AI Accelerator
⚙️ High-Performance NVIDIA A10 GPU (PN: 900-2G133-6220-0302) – Built for AI, Deep Learning & Virtual Workstations
The NVIDIA A10 Tensor Core GPU delivers the perfect balance of AI performance, graphics, and virtualization for modern data centers.
Powered by the Ampere architecture, it features 24GB of GDDR6 memory, Tensor Cores, and PCIe Gen 4.0 support for unmatched acceleration in AI inference, rendering, and VDI workloads.
Designed for enterprise environments, the A10 brings high-performance computing to virtualized desktops and AI-driven servers, offering a significant leap in efficiency over previous generations like the T4 and Quadro RTX 6000.
Whether you’re deploying GPU virtualization, scaling AI inference, or running high-end 3D workloads, the NVIDIA A10 is a proven, reliable choice for sustained performance and lower TCO.
📊 Product Specifications: NVIDIA A10 Tensor Core GPU (900-2G133-6220-0302)
CLICK HERE FOR SPECIFICATIONS SHEET
| Specification | Details |
|---|---|
| GPU Architecture | NVIDIA Ampere |
| CUDA Cores | 10,752 |
| Tensor Cores | 336 (3rd Generation) |
| RT Cores | 84 (2nd Generation) |
| GPU Memory | 24GB GDDR6 |
| Memory Bandwidth | 600 GB/s |
| Memory Interface | 384-bit |
| Interface | PCI Express 4.0 x16 |
| Form Factor | Full-height, full-length dual-slot |
| Cooling | Passive (requires server airflow) |
| FP32 Performance | ~31.2 TFLOPS |
| FP16 Tensor Performance | ~125 TFLOPS |
| INT8 Performance | Up to 250 TOPS |
| NVENC / NVDEC | Yes (AV1 decode supported) |
| Max Power Consumption | 150 W TDP |
| Virtualization Support | NVIDIA vGPU / vPC / vComputeServer |
| Supported APIs | CUDA, DirectX 12, OpenGL 4.6, Vulkan 1.2 |
| Dimensions (L × H) | 10.5 in × 4.4 in (267 mm × 112 mm) |
| Part Number | 900-2G133-6220-0302 |
💬 Frequently Asked Questions (FAQs)
Q1: What workloads is the NVIDIA A10 ideal for?
A1: It’s optimized for AI inference, virtual desktop infrastructure (VDI), rendering, and simulation workloads in enterprise and data-center environments.
Q2: How does the A10 compare to the NVIDIA T4 or RTX A6000?
A2: The A10 offers over 2.5× more Tensor performance than the T4 and improved efficiency with PCIe 4.0 bandwidth, while consuming moderate power (150 W).
Q3: Is this GPU suitable for virtualization?
A3: Yes - it supports NVIDIA vGPU technologies including vPC, vApps, and vComputeServer, ideal for multi-tenant virtualized deployments.
Q4: Does it require active cooling?
A4: No, it features passive cooling and must be installed in a server chassis with sufficient airflow.
Q5: What operating systems are supported?
A5: Compatible with major enterprise platforms including Linux, Windows Server, and VMware vSphere environments.
