NVIDIA Tesla T4 Tensor Core GPU
AED 3,199.00 AED 4,535.00 (-29%)
- Brand : NVIDIA Graphics Card
- GPU Architecture : Turing
- GPU Memory : 16GB GDDR6
- Memory Clock : 1250 MHz
- Boost Clock : 1590 MHz
- Base Clock : 585 MHz
- Memory Interface : 256 bit
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Are you looking for a secure yet inexpensive graphics card to facilitate deep learning, cloud computing, and AI inference data centers? The NVIDIA Tesla T4 Tensor Core is based on Turing architecture, equipped with 2560 CUDA cores & 320 Tensor cores with 16 GB of GDDR6 memory configuration which has been connected using 320 GB per second memory bandwidth. This T4 GPU performs 8.1 TFLOPS for single precision performance, 65 FP16 for mixed precision, 130 INT8 TOPS, and 260 INT4 TOPS providing outstanding performance for analyzing videos, image recognition, and Natural Language Process(NLP). T4 GPU prices are very affordable at ServerBasket with quick shipment all over the UAE and also a benefit of 7-day return policy. This PCIe Gen 3.0 single-slot Tesla T4 GPU has a 70W TDP and passive cooling feature that fits perfectly into a wide range of cloud and computing edge settings. Shop today from ServerBasket, and experience the best NVIDIA T4 GPU for your business.
Additional information
| Brand | NVIDIA |
|---|---|
| Device Type | Graphics Card |
| CUDA Cores | 2560 |
| Interface | 16 PCIe 3.0 |
| Max RAM | 16GB |
| RAM Type | GDDR6 |
What is the NVIDIA Tesla T4 GPU used for?
You can deploy the Tesla T4 for different scenarios, including AI inference, ML, virtualization, and edge workloads. Since it is designed on the NVIDIA Turing architecture, you can amplify performance for various use cases, be it for video or data analytics, and more. The features include 320 Tensor Cores, 2560 CUDA cores, along with support for FP16/FP32/INT4 precision, allowing you to enjoy high throughput.
How much RAM does this NVIDIA GPU card have?
The NVIDIA GPU card gives you 16GB GDDR6 VRAM with ECC support, while also providing you with 320 GB/s bandwidth. With such phenomenal capacities, you can easily deploy it for your AI inference and virtual desktops. Given its bandwidth, you can enjoy much faster data access and better responsiveness overall.
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