NVIDIA Tesla T4 16GB GDDR6 GPU | AI Inference, Virtualization & Deep Learning Accelerator
NVIDIA Tesla T4 16GB GPU - Optimized for AI Inference, Virtualization & Deep Learning
Compact, Energy-Efficient GPU for Data Centers and Virtual Workloads — Compatible
Part Numbers: 900-2G183-0000-001 / P09571-001 / R0W29C / 490-BFHN / 490-BFLB / UCSC-GPU-T4-16
Note: This product is export restricted and may not be relocated or transferred without compliance with all applicable regulations.
The NVIDIA Tesla T4 16GB GPU delivers exceptional performance for AI inference, deep learning, data analytics, and virtual desktop infrastructure (VDI).
Built on the Turing architecture, it’s designed for energy-efficient scalability across cloud, enterprise, and edge deployments.
Featuring 2,560 CUDA cores, 320 Tensor Cores, and 16GB GDDR6 memory, the Tesla T4 brings versatile acceleration for AI workloads — from natural language processing and recommendation systems to video analytics and high-density virtualization.
Its low-profile PCIe form factor and 70W power consumption make it ideal for high-density servers and edge AI environments.
Compatible Part Numbers:
900-2G183-0000-001, P09571-001, R0W29C, 490-BFHN, 490-BFLB, UCSC-GPU-T4-16 — all share identical specifications and performance.
⚙️ Product Specifications For NVIDIA Tesla T4 16GB GDDR6 GPU
CLICK HERE FOR SPECIFICATIONS SHEET
| Specification | Details |
|---|---|
| GPU Architecture | NVIDIA Turing |
| CUDA Cores | 2,560 |
| Tensor Cores | 320 |
| GPU Memory | 16GB GDDR6 |
| Memory Interface | 256-bit |
| Memory Bandwidth | 320 GB/s |
| FP32 Performance | 8.1 TFLOPS |
| FP16 Performance | 65 TFLOPS |
| INT8 Performance | 130 TOPS |
| INT4 Performance | 260 TOPS |
| Form Factor | Low-profile, PCIe Gen3 x16 |
| Power Consumption | 70W |
| Cooling Type | Passive or active (OEM dependent) |
| NVENC / NVDEC Support | Yes (Video Encoding/Decoding) |
| Virtualization Support | NVIDIA GRID / vGPU Ready |
| Thermal Solution | Server airflow required |
| Use Cases | AI Inference, Deep Learning, Virtual Desktops, HPC Edge Computing |
| Supported APIs | CUDA, cuDNN, TensorRT, DirectX 12, OpenGL 4.6, Vulkan |
| Operating Temperature | 0°C – 55°C (typical) |
❓ Frequently Asked Questions (FAQs)
Q1: What are the main workloads supported by the NVIDIA Tesla T4?
A1: The T4 is optimized for AI inference, deep learning, data analytics, and virtual desktop infrastructure (VDI).
Q2: Can the T4 GPU be used in a standard server chassis?
A2: Yes. Its low-profile PCIe design fits easily into standard and high-density rack servers.
Q3: Does the T4 require active cooling?
A3: It’s passively cooled by server airflow, though active-cooled versions exist depending on OEM design.
Q4: How does the T4 compare to the A100 or A30 GPUs?
A4: The Tesla T4 is optimized for inference and virtualization - offering excellent efficiency at lower power, while A100/A30 target high-end training and HPC workloads.
Q5: Are all listed part numbers identical in performance?
A5: Yes - all listed part numbers (900-2G183-0000-001, P09571-001, R0W29C, 490-BFHN, 490-BFLB, UCSC-GPU-T4-16) share the same T4 GPU architecture, memory, and capabilities.
