NVIDIA T4 HHHL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-000
Experience unparalleled AI inference and VDI performance with the refurbished NVIDIA T4 HHHL 16GB GDDR6 Tensor Core GPU. Built on the advanced NVIDIA Turing architecture, this GPU boasts 320 Tensor Cores and 2560 CUDA Cores, delivering 8.1 TFLOPS of single-precision performance and up to 130 TOPS of INT8 performance. With a base clock speed of 585 MHz and a maximum boost clock speed of 1590 MHz, it ensures efficient processing. The half-height, half-length single-slot form factor, combined with passive cooling and bi-directional airflow support, makes it ideal for diverse server environments. Optimize your IT infrastructure with this energy-efficient, high-performance GPU.
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| Part Type | GPU |
|---|---|
| Description | NVIDIA T4 HHHL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-000: Powering the Future of AI and VDIEnterasource proudly presents the NVIDIA T4 HHHL 16GB GDDR6 Tensor Core GPU, a powerhouse designed to meet the rigorous demands of modern AI inference, machine learning, and virtual desktop infrastructure (VDI). Leveraging the cutting-edge NVIDIA Turing architecture, this GPU offers unparalleled performance and efficiency, making it an ideal choice for IT professionals seeking to optimize their data centers and server environments. Unmatched Performance and EfficiencyThe NVIDIA T4 GPU is equipped with 320 Tensor Cores and 2560 CUDA Cores, delivering a single-precision performance of 8.1 TFLOPS and mixed-precision performance of 65 TFLOPS. With INT8 and INT4 performance metrics reaching 130 TOPS and 260 TOPS respectively, this GPU excels in handling complex AI workloads and inference tasks. The base clock speed of 585 MHz and a maximum boost clock speed of 1590 MHz ensure that your applications run smoothly and efficiently. Advanced Memory and InterfaceFeaturing 16GB of GDDR6 memory, the NVIDIA T4 provides ample capacity for high-throughput data processing. The PCIe 3.0 x16 interface ensures seamless integration with a wide range of server platforms, while the 32 GB/sec interconnect bandwidth facilitates rapid data transfer, minimizing latency and maximizing performance. Energy-Efficient and ReliableWith a power consumption of just 70W and an energy efficiency rating 50 times higher than traditional CPUs, the NVIDIA T4 is designed to reduce operational costs while maintaining top-tier performance. The passive cooling solution and bi-directional airflow support ensure optimal thermal management, even in demanding environments. The GPU operates efficiently within a temperature range of 0°C to 50°C and can be safely stored between -40°C and 75°C. Robust Support and CompatibilityThe NVIDIA T4 supports a variety of compute APIs, including CUDA, NVIDIA TensorRT, and ONNX, making it versatile for different AI and machine learning applications. It is also compatible with various server platforms that support NVIDIA GPUs, ensuring seamless integration into your existing infrastructure. Additional features like SR-IOV and ECC support further enhance its reliability and performance. Whether you're looking to accelerate AI inference, enhance machine learning capabilities, or optimize virtual desktops, the NVIDIA T4 HHHL 16GB GDDR6 Tensor Core GPU is your go-to solution for superior performance and efficiency. * Shown with sparsity. Specifications 1/2 lower without sparsity. |
| Manufacturer | NVIDIA |
| MPN | 900-2G183-0000-000 |
| Alternate Part Numbers | 699-2G183-0200-xxx |
| Condition | Refurbished |
| Display Connectors | 0 |
| Display Ports | 0 |
| HDMI Ports | 0 |
| GPU Architecture | NVIDIA Turing |
| Memory Type | GDDR6 |
| Base Clock Speed | 585 MHz |
| Maximum Boost Clock Speed | 1590 MHz |
| UEFI Support | Yes |
| Tensor Cores | 320 |
| CUDA Cores | 2560 |
| Single-Precision Performance | 8.1 TFLOPS |
| Mixed-Precision Performance | 65 TFLOPS |
| INT8 Performance | 130 TOPS |
| INT4 Performance | 260 TOPS |
| Interface | PCIe 3.0 x16 |
| Interconnect Bandwidth | 32 GB/sec |
| Power Consumption | 70 W |
| Power Connector | 8-pin |
| Form Factor | Half-Height Half-Length Single-Slot |
| SR-IOV Support | Yes |
| ECC Support | Yes |
| Energy Efficiency | 50X higher efficiency than CPUs |
| 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 90% |
| Humidity Storage Range | 5% to 95% |
| Compute APIs | CUDA NVIDIA TensorRT ONNX |
| Acceleration Applications | Machine Learning Deep Learning Virtual Desktops |
| Workload | AI/Inference/VDI |
| Compatibility | Compatible with various server platforms supporting NVIDIA GPUs |
