NVIDIA HGX H100 8-GPU SXM5 Baseboard, 640GB (DELTA-NEXT)

No. This is the HGX H100 baseboard, the 8-GPU SXM5 carrier board only. It has no host CPUs, system memory, storage, chassis, power supplies, or fans. To run, it must be integrated into a system with a host platform, several kilowatts of power delivery, and appropriate cooling. It is a component for builders and integrators, not a turnkey machine. For a finished server, MillionMiner offers complete H100 systems and the DGX H100.

DELTA-NEXT is NVIDIA's codename for this 8-GPU HGX H100 baseboard design. It is not a separate product line, it refers to the standard flagship Hopper 8-GPU HGX H100 carrier board, the assembly described here (model 935-24287-0000-000). It is the same class of baseboard that goes inside the major H100 systems.

Both are flagship Hopper 8-GPU HGX assemblies with full NVLink fabric; the difference is memory per GPU. This H100 baseboard has 80GB per GPU, 640GB total. The H200 baseboard has 141GB per GPU, 1,128GB total. Choose the H100 baseboard for flagship Hopper compute where 80GB per GPU fits, typically more available and economical; choose the H200 baseboard for the largest models and memory-bound workloads needing more memory per GPU.

System builders and integrators assembling H100 nodes, and operators repairing or expanding the GPU assembly in an existing HGX H100 platform. If you have the chassis, host platform, power, and cooling, or are building them, the baseboard is the core 8-GPU assembly. If you want a server that runs out of the box, the complete H100 systems or the DGX H100 are the right path instead.

By NVLink and NVSwitch, the high-bandwidth fabric that interconnects all eight GPUs for fast all-to-all communication, so they work as a single GPU complex for large distributed training and inference. This full NVLink fabric is what distinguishes a true HGX baseboard from eight separate PCIe cards, and is essential to scaling large models across the eight GPUs efficiently.

Large-scale AI training and inference. The H100 is NVIDIA's flagship Hopper-generation GPU, with strong FP8 and the Transformer Engine that accelerate modern large models, plus HBM3 memory and full NVLink fabric across the baseboard. An 8-GPU H100 assembly is the standard building block for training and serving large models, and remains one of the most widely deployed flagship AI configurations.

An 8-GPU H100 assembly draws several kilowatts under load and requires data center power delivery and cooling appropriate to the SXM5 baseboard, supplied by the host system it is integrated into. This is data center infrastructure, not a workstation part. MillionMiner confirms the power and cooling requirements for your deployment in the quote.

Yes, unreservedly. This is flagship data center AI silicon: eight Hopper H100 GPUs with full HBM3 and full NVLink fabric, the configuration used to train and serve the largest AI models. Unlike the workstation and display cards elsewhere in this catalog, there is no overstatement to qualify here, only the scope to note that it is supplied as a baseboard for integration.

Eight H100 80GB SXM5 GPUs on one HGX baseboard (935-24287-0000-000, DELTA-NEXT), 640GB of HBM3 total (80GB per GPU), full NVLink and NVSwitch interconnect, Hopper architecture, drawing several kilowatts under load. MillionMiner confirms the exact baseboard revision, the per-GPU and aggregate performance specs, and the cooling and power requirements in the quote.

H100 is a Hopper-class accelerator subject to US export controls that depend on destination, and MillionMiner confirms destination eligibility and the compliance position before sale. As high-value flagship hardware, condition and provenance matter, and each baseboard is verified before shipment with its condition stated clearly. Every unit is shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available.