NVIDIA A16 Tensor Core GPU 4x16GB GDDR6 AI VDI Graphics 900-2G171-0000-000
NVIDIA A16 Tensor Core GPU 4x16GB GDDR6 AI VDI Graphics 900-2G171-0000-000
Elevate your IT infrastructure with the NVIDIA A16 Tensor Core GPU, designed for AI, VDI, and performance graphics. Featuring the NVIDIA Ampere architecture, this dual-slot, full-height GPU boasts 4x 16GB GDDR6 memory, 4x 1280 CUDA cores, and 4x 40 Tensor Cores. Achieve unparalleled performance with a base clock speed of 1312 MHz and a boost clock speed of 1755 MHz. With high energy efficiency, passive cooling, and SR-IOV support, this GPU ensures robust performance and reliability. Ideal for machine learning, deep learning, and virtual desktops, it supports CUDA, DirectCompute, OpenCL, and more. Maximize your server capabilities with this powerhouse GPU.
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Part Type | GPU |
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Description | NVIDIA A16 Tensor Core GPU 4x16GB GDDR6 AI VDI Graphics 900-2G171-0000-000: Unleash Unmatched PerformanceEnterasource proudly presents the NVIDIA A16 Tensor Core GPU, a powerhouse designed to elevate your AI, VDI, and performance graphics workloads. This refurbished gem, with its cutting-edge NVIDIA Ampere architecture, is tailored for IT professionals seeking top-tier performance and reliability. With 4x 16GB GDDR6 memory and a host of advanced features, the NVIDIA A16 is your go-to solution for demanding computational tasks. Key Features and Benefits of NVIDIA A16 Tensor Core GPU 4x16GB GDDR6 AI VDI Graphics 900-2G171-0000-000Unparalleled PerformanceEquipped with 4x 1280 CUDA cores and 4x 40 Tensor cores, the NVIDIA A16 delivers exceptional single-precision performance of 4x 4.5 TF and mixed-precision performance of 4x 9 TF or 4x 18 TF*. This ensures that your AI and deep learning applications run smoothly and efficiently, providing the computational power needed for complex tasks. Advanced Memory and BandwidthThe NVIDIA A16 features 4x 16GB of GDDR6 memory, ensuring ample capacity for large datasets and high-resolution graphics. With an interconnect bandwidth of 4x 200 GB/s, data transfer is swift and seamless, minimizing latency and maximizing throughput. Energy Efficiency and Thermal ManagementDesigned with high efficiency and performance in mind, the NVIDIA A16 consumes just 250W of power. Its passive cooling solution and bi-directional airflow support ensure optimal thermal management, maintaining operating temperatures between 0°C and 50°C. This makes it ideal for data centers and server environments where reliability is paramount. Robust Compatibility and SupportThe NVIDIA A16 is compatible with various server platforms supporting NVIDIA GPUs, making integration into your existing infrastructure hassle-free. It supports a wide range of compute APIs, including CUDA, DirectCompute, OpenCL, and OpenACC, as well as graphics APIs like DirectX 12.075, Shader Model 5.175, OpenGL 4.686, and Vulkan 1.186. Enhanced Virtualization and AI CapabilitiesWith support for NVIDIA vPC, NVIDIA vApps, NVIDIA RTX vWS, NVIDIA AI Enterprise, and NVIDIA vCS, the A16 is perfect for virtual desktop infrastructure (VDI) and AI applications. Its encoder/decoder support includes 4 NVENC and 8 NVDEC (with AV1 decode), ensuring high-quality video processing and streaming capabilities. Reliability and DurabilityThe NVIDIA A16 is built to withstand rigorous operating conditions, with a safe humidity range of 5% to 85% while operating and 5% to 95% in storage. Its NEBS readiness further attests to its robustness, making it a reliable choice for mission-critical applications. Upgrade your IT infrastructure with the NVIDIA A16 Tensor Core GPU 4x16GB GDDR6 AI VDI Graphics 900-2G171-0000-000 and experience unparalleled performance, efficiency, and reliability. * Shown with sparsity. Specifications 1/2 lower without sparsity. |
Manufacturer | NVIDIA |
MPN | 900-2G171-0000-000 |
Alternate Part Numbers | 699-2G171-0200-xxx |
Condition | Refurbished |
Display Connectors | 0 |
Display Ports | 0 |
HDMI Ports | 0 |
GPU Architecture | NVIDIA Ampere |
Memory Type | GDDR6 |
Base Clock Speed | 1312 MHz |
Maximum Boost Clock Speed | 1755 MHz |
UEFI Support | Yes |
Tensor Cores | 4x 40 |
CUDA Cores | 4x 1280 |
RT Cores | 4x 10 |
Single-Precision Performance | 4x 4.5 TF |
Mixed-Precision Performance | 4x 9 TF | 4x 18 TF* |
INT8 Performance | 4x 35.9 TOPS | 4x 71.8 TOPS* |
Interface | PCIe 4.0 x16 |
Interconnect Bandwidth | 4x 200 GB/s |
Power Consumption | 250 W |
Max TDP Power | 250 W |
Power Connector | 8-pin |
Form Factor | Dual Slot, Full Height |
SR-IOV Support | Yes |
ECC Support | Yes |
Energy Efficiency | High efficiency and performance |
Thermal Solution | Passive |
Cooling Type | Passive |
Airflow Support | Bi-directional |
Operating Temperature | 0 °C to 50 °C |
Storage Temperature | -40 °C to 75 °C |
Safe Humidity Range While Operating | 5% to 85% |
Humidity Storage Range | 5% to 95% |
Compute APIs | CUDA, DirectCompute, OpenCL, OpenACC |
Acceleration Applications | Machine Learning, Deep Learning, Virtual Desktops |
Encoder/Decoder Support | 4 NVENC, 8 NVDEC (includes AV1 decode) |
vGPU Software Support | NVIDIA vPC, NVIDIA vApps, NVIDIA RTX vWS, NVIDIA AI Enterprise, NVIDIA vCS |
Graphics APIs | DirectX 12.075, Shader Model 5.175, OpenGL 4.686, Vulkan 1.186 |
NEBS Ready | Yes |
MIG Support | No |
Workload | AI/Performance graphics/VDI |
Compatibility | Compatible with various server platforms supporting NVIDIA GPUs |