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| Product Overview |
|---|
The RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU delivers focused performance for AI and data center applications. It fits into high-performance computing environments where large-scale model training and inference are key, providing a balance between memory capacity and computational power without unnecessary complexity. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | RV08M |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None (no display outputs - data center accelerator) |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | HBM2 |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU is built for intensive AI, machine learning, and data analytics applications. Its powerful tensor cores and high-bandwidth memory enable faster processing of complex models and large datasets. Often found in data centers and enterprise environments, this GPU supports both training and inference workloads. It's commonly used by data scientists, researchers, and IT professionals who require reliable acceleration for demanding compute tasks. Key Features
You'll typically find this GPU powering AI research labs, cloud data centers, and enterprise servers where performance and reliability matter. Its role is crucial in accelerating workflows that would otherwise take much longer on traditional processors. |