
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 A10 24GB GDDR6 Passive GPU Accelerator is a powerful card designed to accelerate AI inference and graphics workloads in server environments. It fits seamlessly into dense racks thanks to its passive cooling and offers the memory and performance needed for large-scale data processing in professional and research applications. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA Tesla A10 |
| Series | Tesla A10 |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla A10 is a GPU accelerator built for demanding AI and machine learning tasks. It’s commonly found in data centers where large-scale data processing and inference are critical. This card is designed for users who need efficient, powerful GPU performance without additional noise or active cooling requirements. Engineered to fit into servers with limited cooling resources, the Tesla A10’s passive cooling system allows for better thermal management in dense deployments. It’s often used by researchers, data scientists, and enterprises running inference workloads or accelerating graphics-heavy applications. Key Features
In practice, the Tesla A10 finds its place in AI inference servers, cloud computing platforms, and virtual desktop infrastructure setups. Its ability to manage intensive workloads in a compact, low-noise format makes it valuable in environments where space and cooling are limited. Users benefit from reliable acceleration without the need for elaborate cooling systems, making it a practical choice for modern data centers focused on efficiency and performance. |
| Use Cases |
|---|
The NVIDIA Tesla A10 is utilized in various advanced computing environments to accelerate complex workloads. How It's Used:
This GPU accelerator helps organizations streamline computational tasks, reduce processing time, and enhance overall system throughput in demanding environments. |