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
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.
