Price for 6000 Blackwell series cards have stabilized after 3 consecutive 30% baseline hikes by Nvidia in 2026 and are expected to maintain through the rest of 2026. Supply remains strained. Please note that compliance is mandatory on all AI enterprise compute GPUs and Servers and end-user forms must be filled out before we can share any quotes. Please note Credit Card payments will only work if USD or AED currency is selected on top right corner of the website. HGX B200/B300 lead times are now between 8-14 weeks for Golden Sku, with custom BOMs exceed 20 weeks. For DRAM and SSD bulk orders, please inquire in the chat.
✓ 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
Verified reviews from real customers on Trustpilot
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.
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