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SG27A37430 Lenovo ThinkSystem NVIDIA Tesla V100 32GB PCIe GPU Accelerator (Passive)
SKU:
SG27A37430
Weight: 3.00 lbs
Condition: Refurbished
- 32GB HBM2 memory for handling large datasets
- Volta architecture GPU delivering high compute performance
- PCIe interface with passive cooling for server integration
- Optimized for AI, deep learning, and HPC workloads
| Product Overview |
|---|
The Lenovo ThinkSystem NVIDIA Tesla V100 32GB PCIe GPU Accelerator is designed to boost demanding computational workloads in data centers. It fits into PCIe slots and leverages NVIDIA’s Volta architecture to provide powerful performance for AI and scientific tasks, making it a solid choice for environments focused on heavy parallel processing and data analysis. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | SG27A37430 |
| Alternate Part Number | SG27A37430-03-UK |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 3.0 x16 |
| Output Interface | None (compute accelerator, no display outputs) |
| Memory | |
|---|---|
| Memory Size | 32GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot (passive cooling) |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Product Description |
|---|
The Lenovo ThinkSystem NVIDIA Tesla V100 32GB PCIe GPU Accelerator is built to accelerate compute-intensive applications. It's often found in data centers where machine learning, scientific simulations, and complex analytics demand massive parallel processing power. Designed for researchers, engineers, and developers, this GPU helps reduce training times and speeds up inference tasks. Its passive cooling design fits well in server environments with optimized airflow. Key Features
This GPU accelerator is typically deployed in high-performance computing clusters and AI training servers. It plays a key role in accelerating research and data-driven operations where speed and reliability matter. |
| Use Cases |
|---|
The SG27A37430 Lenovo ThinkSystem NVIDIA Tesla V100 GPU Accelerator is designed to enhance computational capabilities in enterprise and data center environments. How It's Used:
This GPU accelerator enables organizations to meet the demands of advanced analytics and AI-driven projects with improved speed and efficiency. |
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