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| Unit Price: | £ |
| Part No: | FESYS-822GS-NB3RT-01-G2 |
| Manufacturer No: | SYS-822GS-NB3RT-01-G2 |
| Delivery: | In Stock: 7-10 Days |
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The Supermicro SYS-822GS-NB3RT-01-G2 GPU SuperServer is designed as a large-scale compute platform for demanding AI and high-performance workloads. Built in an 8U rackmount form factor, it integrates multi-GPU acceleration with high-core-count processors and large memory capacity to support intensive parallel processing tasks.
This system is built around an NVIDIA HGX B300 8-GPU configuration, allowing all GPUs to operate in a tightly connected environment through high-speed interconnects. This design supports workloads that require large-scale model training and heavy computational distribution across multiple accelerators.
Equipped with up to 2TB of DDR5-6400 memory, the platform provides significant bandwidth and capacity for data-intensive operations. The multi-DIMM architecture supports high-throughput workloads commonly found in AI training and scientific computing environments.
The server is engineered with high-capacity redundant power systems rated at Titanium efficiency levels, supporting sustained operation under heavy computational loads. Its design is intended for integration into large-scale data center environments requiring continuous high-power performance.
The Supermicro SYS-822GS-NB3RT-01-G2 GPU SuperServer is designed as a large-scale compute platform for demanding AI and high-performance workloads. Built in an 8U rackmount form factor, it integrates multi-GPU acceleration with high-core-count processors and large memory capacity to support intensive parallel processing tasks.
This system is built around an NVIDIA HGX B300 8-GPU configuration, allowing all GPUs to operate in a tightly connected environment through high-speed interconnects. This design supports workloads that require large-scale model training and heavy computational distribution across multiple accelerators.
Equipped with up to 2TB of DDR5-6400 memory, the platform provides significant bandwidth and capacity for data-intensive operations. The multi-DIMM architecture supports high-throughput workloads commonly found in AI training and scientific computing environments.
The server is engineered with high-capacity redundant power systems rated at Titanium efficiency levels, supporting sustained operation under heavy computational loads. Its design is intended for integration into large-scale data center environments requiring continuous high-power performance.
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