Use Cases: AI training, HPC, data analytics, model parallelism, and more
$89,000
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.