Supermicro SYS-A22GA-NBRT 10NVMe
- Condition
- New
- Manufacturer
- Supermicro
- CPU
- 2 x Intel Xeon 6960P (72C 432Mb Cache 2.70GHz)
- RAM
- 24 x 128GB DDR5 RDIMM 6400MHz
- Power supply unit
- 6 x 5250W Titanium
- HDD
- 4 x 3.8TB NVMe (up to 10 x 2.5'' NVMe)
- GPU
- 1 x NVIDIA Umbriel GPU Baseboard. HGX B200 8-GPU 180GB HBM3e
- Accelerator manufacturer
- NVIDIA
- Accelerator model
- NVIDIA B200
- Installed GPU/APU count
- 8
- Maximum GPU/APU count
- 8 onboard GPUs
- Memory per accelerator
- 180GB
- Total accelerator memory
- 1440GB
- GPU memory type
- HBM3e
- Accelerator memory bandwidth
- 8000 GB/s (8 TB/s) per GPU
- Accelerator form factor
- SXM
- Accelerator interconnect
- Fifth-generation NVIDIA NVLink with NVSwitch
- Accelerator-to-CPU interface
- PCIe 5.0 x16 per GPU
- Supported compute data types
- FP64, FP32, TF32, BF16, FP16, FP8, FP6, FP4, INT8
- Accelerator virtualization
- NVIDIA vGPU, MIG-backed vGPU and GPU passthrough
- MIG support
- Up to 7 isolated GPU instances per GPU
- Software ecosystem
- NVIDIA CUDA, CUDA-X and NGC; NVIDIA AI Enterprise-compatible
- Maximum system power
- 15.75kW
- Cooling
- Air cooling with up to 15 counter-rotating 80mm fans, up to 4 counter-rotating 60mm fans and one air shroud
- Recommended workloads
- Large-scale LLM training, fine-tuning and inference, generative and multimodal AI, recommendation systems, HPC and scientific computing
- Dimensions
- 438.8 x 449 x 843.28 mm (H x W x D)
- Weight
- 133 kg
Need a technical consultation on choosing a server?
Submit a requestSupermicro SYS-A22GA-NBRT 10NVMe is a 10U enterprise server storage configuration with ten front hot-swap 2.5-inch NVMe bays, with four 3.8TB NVMe drives installed. It is designed for AI factories, research centers, cloud providers and enterprise data centers that need fast local storage for AI, accelerated analytics and HPC workloads.
Key features:
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Storage basket and service access: The selected storage basket comprises ten front hot-swap 2.5-inch NVMe bays, with four 3.8TB NVMe drives installed. Front- or rear-accessible hot-swap service, as applicable to the specified bays, helps reduce planned maintenance time without opening the main chassis.
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Installed accelerator subsystem: The installed accelerator subsystem contains NVIDIA HGX B200 8-GPU. It provides 1,440GB HBM3E (8 x 180GB). Fifth-generation NVIDIA NVLink with NVSwitch provides a high-bandwidth GPU fabric.
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Storage topology and data path: The NVMe bays connect through the platform PCIe storage path. Storage, accelerator and network resources are arranged to support sustained data movement for datasets, checkpoints and local scratch space.
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Enterprise compute platform: The compute subsystem combines 2 x Intel Xeon 6960P (72 cores, 2.7GHz) with 3,072GB DDR5-6400 ECC registered memory (24 x 128GB). It supplies the CPU, memory and PCIe resources required to feed the accelerator complex and host production services.
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Management and availability: Dedicated BMC connectivity and Supermicro lifecycle-management tools, together with 6 x 5250W redundant (3+3) Titanium-level power supplies, support remote administration, component monitoring, planned service operations and resilient data-center operation.
Use cases:
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AI model training and fine-tuning: Uses the installed NVIDIA HGX B200 subsystem for deep learning, generative AI and large-model development.
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Inference and production AI services: Provides accelerator memory and parallel compute for LLM, multimodal and enterprise inference workloads.
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HPC, simulation and analytics: Accelerates scientific computing, numerical simulation, engineering, analytics and other parallel workloads supported by the installed accelerator subsystem.
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Data-intensive pipelines: Combines the specified 10NVMe storage configuration with high-bandwidth accelerator and network paths for datasets, checkpoints, staging and local scratch storage.
Supermicro SYS-A22GA-NBRT 10NVMe is a purpose-built 10U platform for organizations that need the specified storage basket, installed NVIDIA HGX B200 acceleration and enterprise-class lifecycle management in one deployable system.
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