NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001
NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001
Elevate your AI and VDI workloads with the NVIDIA T4 Tensor Core GPU, featuring the advanced NVIDIA Turing architecture. With 16GB of GDDR6 memory, 320 Tensor Cores, and 2560 CUDA Cores, this GPU delivers exceptional performance with 8.1 TFLOPS of single-precision and 65 TFLOPS of mixed-precision computing power. Its energy-efficient design consumes just 70W, offering 50X higher efficiency than CPUs. The full-height, full-length single-slot form factor ensures compatibility with various server platforms. Ideal for machine learning, deep learning, and virtual desktops, this GPU supports PCIe 3.0 x16 interface and passive cooling for reliable, high-performance computing.
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Part Type | GPU |
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Description | NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001: Unleash the Power of AI and VDIEnterasource proudly presents the NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001, a powerhouse designed to meet the demanding needs of IT professionals. This refurbished GPU leverages the cutting-edge NVIDIA Turing architecture to deliver unparalleled performance in AI inference, machine learning, and virtual desktop infrastructure (VDI) applications. With its robust feature set and energy-efficient design, the NVIDIA T4 is the ideal choice for businesses looking to enhance their computational capabilities while maintaining cost-effectiveness. Features and Benefits of the NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001Exceptional PerformanceEquipped with 320 Tensor Cores and 2560 CUDA Cores, the NVIDIA T4 delivers a single-precision performance of 8.1 TFLOPS and mixed-precision performance of 65 TFLOPS*. This GPU is engineered to accelerate AI inference tasks, offering INT8 performance of 130 TOPS and INT4 performance of 260 TOPS*. Whether you're running complex machine learning models or deploying virtual desktops, the NVIDIA T4 ensures smooth and efficient operations. Advanced Memory and Clock SpeedsThe NVIDIA T4 features 16GB of GDDR6 memory, providing ample bandwidth for data-intensive applications. With a base clock speed of 585 MHz and a maximum boost clock speed of 1590 MHz, this GPU ensures rapid data processing and high throughput, making it perfect for real-time AI inference and VDI workloads. Energy Efficiency and Thermal ManagementDesigned with energy efficiency in mind, the NVIDIA T4 offers 50X higher efficiency than traditional CPUs. Its passive cooling solution and bi-directional airflow support ensure optimal thermal management, allowing the GPU to operate within a temperature range of 0°C to 50°C. This makes it a reliable choice for data centers and enterprise environments. Robust Compatibility and SupportThe NVIDIA T4 is compatible with various server platforms supporting NVIDIA GPUs, making it a versatile addition to your IT infrastructure. It supports essential compute APIs such as CUDA, NVIDIA TensorRT, and ONNX, and is optimized for acceleration applications including machine learning, deep learning, and virtual desktops. Additionally, it offers SR-IOV and ECC support, ensuring data integrity and reliability. Easy Integration and InstallationWith its full-height, full-length single-slot form factor and PCIe 3.0 x16 interface, the NVIDIA T4 is easy to integrate into existing systems. The 8-pin power connector ensures a stable power supply, while the passive thermal solution simplifies installation and maintenance. Upgrade your IT infrastructure with the NVIDIA T4 FHFL 16GB GDDR6 Tensor Core GPU AI Inference VDI 900-2G183-0000-001 and experience the future of AI and VDI performance. * Shown with sparsity. Specifications 1/2 lower without sparsity. |
Manufacturer | NVIDIA |
MPN | 900-2G183-0000-001 |
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 | Full-Height Full-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 |