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| Product Overview |
|---|
The NVIDIA Tesla T4 Video Graphics Card offers a strong combination of memory capacity and processing power, fitting into server environments where AI and graphics workloads are common. It fits into PCIe 3.0 slots and features 16GB of GDDR6 memory, making it suitable for applications that require fast data throughput and advanced computation. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G183-0000-001 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | Base: 585 MHz, Boost: 1590 MHz |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, DirectCompute |
| Output Interface | None (compute card, no display outputs) |
| Suggested PSU | 300W system PSU recommended |
| Power Connectors | None (powered by PCIe slot, 70W TDP) |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 256-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot, Full-height |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The NVIDIA Tesla T4 Video Graphics Card is built for accelerating AI inference, machine learning, and graphics processing tasks. It’s commonly found in data centers and workstations where efficient, scalable performance is critical. Engineered for professionals and researchers, this card handles demanding computational workloads with low power consumption. Its full-height design makes it suitable for standard server setups, supporting a wide range of applications from cloud computing to deep learning. Key Features
This card is typically deployed in enterprise server racks or high-performance workstations, providing reliable acceleration to AI and graphics tasks. Its balance of power and efficiency makes it a go-to option for users needing sustained performance without excessive energy costs. |