NVIDIA T4 16GB Specifications for AI Enthusiasts
The NVIDIA T4 is a powerful and versatile GPU designed for a variety of applications, including machine learning, data analytics, and virtual desktop infrastructure. Launched in 2018 with part number 0hckjm from Dell and 900-2G183-0000-000 from NVIDIA, it features NVIDIA's Turing architecture, offering a blend of performance and efficiency. With its 16GB GDDR6 memory and advanced Tensor Cores, the T4 is well-suited for both deep learning inference and training tasks. The T4's low power consumption and compact form factor make it an ideal choice for energy-efficient, high-density server environments. A common part number of HCKJM references the Dell version of the card while TCSCT4-KIT references the PNY version of the card.
- GPU Architecture: turing
- Hardware-Accelerated GEMM Operations:FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
- CUDA Compute Capability : 7.5
Specifications for NVIDIA T4
| Raw Performance | |
|---|---|
| Tensor Core Count: 320 | |
| FP32 TFLOPs: 8.1 | |
| FP16 TFLOPs: 65 | |
| Int8 TOPs: 130 | |
| Memory Capacity (GB): 16 | |
| Memory Bandwidth (GB/s): 320 |
Real-time NVIDIA T4 GPU Prices
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