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Product Overview |
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The Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU graphics card provides advanced acceleration for AI and HPC workloads within Dell server environments. It fits where high-speed memory and tensor core processing are essential, handling complex computations that support modern enterprise data needs. |
General Information |
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| Brand | Dell |
| Part Number | 699-21001-0205-600 |
Technical Information |
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| Chipset | Nvidia |
Memory |
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| Memory Size | 24GB |
| Interface | HBM2 |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Physical Characteristics |
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| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator is built to accelerate complex computational tasks involving AI, deep learning, and high-performance computing. It's often found in data centers and enterprise servers where large-scale data processing and inference workloads are common. Engineered for data scientists, researchers, and IT professionals, this GPU card supports demanding applications that require fast memory and efficient parallel processing power. It's commonly used in environments where AI models need to be trained quickly and accurately. Key Features
This accelerator card is typically deployed in enterprise data centers running AI training and inference, simulation, and analytics workloads. It helps reduce processing time and increases efficiency, especially in GPU-intensive applications. By using this GPU, organizations can leverage enhanced compute power without significantly increasing rack space or energy consumption. |
Use Cases |
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The Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU is primarily utilized in high-density server environments requiring robust AI and HPC acceleration. It benefits enterprise IT teams managing complex machine learning models, data analytics, and virtualization workloads that demand high memory bandwidth and tensor processing power. How It's Used:
This GPU supports operational efficiency by providing scalable compute resources tailored to demanding AI and HPC workflows. Its integration into Dell systems ensures streamlined deployment and maintenance, enabling organizations to meet performance targets in complex computational tasks. |