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NVIDIA Tesla A10 24GB GDDR6 Passive GPU Accelerator
SKU:
NVIDIA A10
Weight: 3.00 lbs
Condition: Refurbished
- 24GB GDDR6 memory for high capacity data processing
- Passive cooling design suitable for dense server environments
- High-performance GPU accelerator optimized for AI and graphics workloads
- Supports PCIe Gen4 for faster data throughput
In stock
$2,482.85
| Product Overview |
|---|
The NVIDIA Tesla A10 24GB GDDR6 is a GPU accelerator designed primarily for data centers and AI workloads. It fits into passive-cooled systems, offering substantial memory and compute power to support machine learning inference, virtualization, and graphics processing. This product balances performance with efficiency in environments where noise and cooling constraints are important. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA A10 |
| Series | A10 |
| Miscellaneous | |
|---|---|
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla A10 is built to handle demanding AI inference, graphics rendering, and virtualization tasks. It's commonly found in data centers where high throughput and energy efficiency are critical. This GPU accelerator is designed for IT professionals and researchers who need powerful compute resources without active cooling solutions. Key Features
The Tesla A10 is typically deployed in enterprise data centers and AI research labs where space and power efficiency matter. It plays a key role in accelerating workloads without adding noise and heat from active fans, making it ideal for clustered server setups. |
| Use Cases |
|---|
The NVIDIA Tesla A10 24GB GPU Accelerator is designed for enterprise and research applications requiring high-performance GPU computing with efficient thermal management. How It's Used:
Its combination of memory capacity, passive cooling, and compute power makes the Tesla A10 a versatile solution for various demanding GPU-accelerated workloads. |
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