NVIDIA HGX A100-8 GPU Baseboard - 8 x A100 SXM4
NVIDIA HGX A100-8 GPU Baseboard - 8 x A100 SXM4
NVIDIA HGX A100-8 GPU Baseboard - 8 x A100 SXM4

NVIDIA HGX A100-8 GPU Baseboard – 8 x A100 SXM4 40 GB HBM2 – 935-23587-0000-000

$89,000.00

Model: 935-23587-0000-000
GPU Architecture: NVIDIA Ampere
Number of GPUs: 8x NVIDIA A100 (SXM4)
Memory Per GPU: 40 GB HBM2
Total Memory: 320 GB HBM2
Memory Bandwidth: 1.6 TB/s per GPU
GPU Interconnect: NVLink with NVSwitch, up to 600 GB/s per GPU connection
Interface: PCIe Gen4
Cooling: Typically integrated into complete server solutions
Form Factor: SXM4
Use Cases: AI training, HPC, data analytics, model parallelism, and more

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  • NVIDIA HGX A100 8-GPU Baseboard: The Ultimate AI and HPC Powerhouse

    The NVIDIA HGX A100 8-GPU Baseboard (model 935-23587-0000-000) represents a significant leap in performance and scalability for data centers focused on AI, high-performance computing (HPC), and large-scale data analytics. This platform integrates eight NVIDIA A100 GPUs in the SXM4 form factor, each equipped with 40GB of high-bandwidth HBM2 memory. Leveraging the NVIDIA Ampere architecture, the system provides exceptional computational power while offering advanced features like NVLink and NVSwitch, which allow seamless communication between GPUs at up to 600 GB/s.

    This platform is engineered for demanding workloads such as AI model training, scientific simulations, and big data processing. With support for partitioning each A100 GPU into multiple instances, the HGX A100 enables flexible resource allocation, making it ideal for cloud-based multi-tenant environments and varied workload requirements. The high memory bandwidth of 1.6 TB/s per GPU ensures that even the most complex models can be trained efficiently.

    Designed to be paired with high-performance server CPUs and advanced networking options, this baseboard supports up to 4x PCIe Gen4 links per GPU and is optimized for high-speed interconnects. The inclusion of NVSwitch not only enhances performance but also simplifies programming by allowing full connectivity across all GPUs without worrying about topology configurations.

    This platform is favored by data centers that prioritize scalability, as it can handle massive AI models and accelerate multi-GPU workloads with ease. Whether deployed for AI research, large-scale simulations, or cutting-edge analytics, the NVIDIA HGX A100 is the go-to solution for organizations that require industry-leading computational performance.

Specification Details
Model 935-23587-0000-000
GPU Architecture NVIDIA Ampere
Number of GPUs 8x NVIDIA A100 (SXM4)
Memory Per GPU 40 GB HBM2
Total Memory 320 GB HBM2
Memory Bandwidth 1.6 TB/s per GPU
GPU Interconnect NVLink with NVSwitch, up to 600 GB/s per GPU connection
Interface PCIe Gen4
Cooling Typically integrated into complete server solutions
Form Factor SXM4
Use Cases AI training, HPC, data analytics, model parallelism, and more

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