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| Product Overview |
|---|
The NVIDIA Tesla A100 40GB HBM2e PCIe GPU Accelerator is built to speed up demanding AI and HPC tasks. It fits into server environments via PCIe slots and offers large, fast memory to handle sizable models and datasets. Its design balances raw performance with flexible deployment options, making it a valuable tool in data centers and research institutions that need reliable, scalable compute power. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA Tesla A100 |
| Series | A100 |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla A100 is designed to accelerate complex computing workloads, especially in fields like artificial intelligence, scientific research, and high-performance computing (HPC). It’s commonly found in data centers and research labs where intensive processing power is essential. Built for researchers, data scientists, and engineers, this GPU accelerator delivers the performance needed for training large AI models, running simulations, and processing massive datasets. It’s often integrated into servers to boost throughput and efficiency without compromising on compatibility. Key Features
These GPUs are typically deployed in cloud computing platforms, supercomputers, and enterprise servers. They help accelerate workloads that demand fast computation while managing energy efficiency, making them a staple for organizations working with AI, data analytics, or scientific simulations. |
| Use Cases |
|---|
The NVIDIA Tesla A100 40GB GPU Accelerator is ideal for scenarios requiring massive parallel computation and large memory capacity. How It's Used:
This accelerator enables organizations to handle complex and data-heavy tasks efficiently, making it a staple in modern AI and HPC infrastructures. |