
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The NVIDIA Tesla T4 16GB GDDR6 Passive GPU is a powerful solution tailored for AI, machine learning, and high-performance computing tasks. Featuring 16GB of GDDR6 memory, a base GPU clock speed of 585 MHz, and a boost of up to 1590 MHz, it provides the necessary power for advanced workloads. With its PCIe 3.0 x16 interface and single-slot design, it ensures fast data throughput while saving valuable space in your system. Ideal for data centers and enterprises focused on AI and data-intensive applications, the Tesla T4 delivers reliable and efficient performance. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G183-0000-000 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 585 MHz (Base), 1590 MHz (Boost) |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX |
| Power Connectors | 8-pin |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 256-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot |
| Weight | 5.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla T4 16GB GDDR6 Passive GPU (part number 900-2G183-0000-000) is designed for compute-intensive tasks, providing exceptional performance in data centers, AI, and machine learning applications. Equipped with 16GB of GDDR6 memory, the Tesla T4 supports high-throughput workloads while delivering a graphics GPU clock speed of 585 MHz base and 1590 MHz boost. The PCI Express 3.0 x16 interface ensures fast data transfer between the GPU and the system, while the single-slot design allows for optimal space efficiency in server and workstation environments. This compute-focused GPU is ideal for deep learning, inference, and virtualization tasks, offering powerful performance without the need for dedicated display output. Key Features
The NVIDIA Tesla T4 is built to handle intensive compute workloads such as deep learning, AI model inference, and virtualization. Its powerful performance and space-efficient design make it an excellent choice for data centers and businesses requiring high-performance computing without the need for graphical output. |