NVIDIA B100 192GB Blackwell Data Center GPU

Its power envelope. The B100 runs at a 700W TDP, the same as the H100 it succeeds, which is by design: it is built to drop into existing HGX H100 infrastructure so operators can upgrade to the Blackwell generation without re-engineering power and cooling. It is the lower-power, drop-in Blackwell part, distinct from the higher-power B200.

Both are Blackwell data center GPUs; the difference is power and performance. The B100 runs at 700W to match H100 infrastructure, trading some performance for drop-in compatibility with existing HGX H100 systems. The B200 runs at a higher power envelope for higher performance, intended for new, purpose-built Blackwell builds. Choose the B100 to upgrade existing H100 capacity without re-engineering it; choose the B200 for a new maximum-performance build. MillionMiner will help you decide.

That is the B100's design intent, the 700W envelope matches the H100, so it targets HGX H100 infrastructure already built for that power and cooling. Actual compatibility still depends on your specific platform, firmware, and system vendor support, so it must be confirmed for your hardware. MillionMiner verifies the infrastructure fit for your exact deployment in the quote rather than assuming it.

Yes, unreservedly. The B100 is current-generation flagship Blackwell AI silicon, with 192GB of HBM3e, 8 TB/s bandwidth, and Blackwell Tensor cores supporting FP4 and FP8. It is built for large-model training, fine-tuning, and high-throughput inference. Unlike the workstation and display cards elsewhere in this catalog, there is no overstatement to qualify, this is the real article for large-scale AI.

They are low-precision numerical formats the Blackwell generation accelerates, and they are central to modern large-model performance. FP8 and especially FP4 let models run inference, and increasingly training, at far higher throughput and efficiency than older formats, when the model and software support them. The B100's strong FP4 and FP8 Tensor performance is a core part of its Blackwell-generation advantage for large-model workloads.

Large per-GPU memory holds bigger models, longer contexts, and more of a training or inference workload on each GPU, reducing how much must be split across GPUs. 192GB of HBM3e at 8 TB/s is generous Blackwell-generation capacity and bandwidth, which directly benefits the largest models and memory-bound AI. It is a key reason the B100 suits frontier-scale training and inference.

Blackwell architecture, 192GB of HBM3e at 8 TB/s bandwidth, Blackwell Tensor cores with FP4 and FP8 support, NVLink 5 interconnect, and a 700W TDP. MillionMiner confirms the exact configuration, the form (HGX or system), the full performance figures, and the infrastructure and cooling requirements in the quote.

The B100 is a Blackwell-class accelerator subject to US export controls that depend on destination, and MillionMiner confirms destination eligibility and the compliance position before sale. As current high-value flagship hardware, condition and provenance matter, and each unit is verified before shipment with its condition stated clearly in the quote.

Blackwell data center GPUs like the B100 are deployed in HGX baseboards and complete systems rather than as standalone PCIe add-in cards for general use. MillionMiner confirms the exact form, baseboard, integrated system, or other configuration, that matches your build in the quote, and can supply or advise on the surrounding infrastructure.

Submit your workload, large-model training, fine-tuning, or inference, your scale, and whether you are upgrading existing H100 infrastructure or building new, through the quote form. A MillionMiner specialist confirms the configuration and condition, the infrastructure fit, export eligibility for Blackwell-class hardware, and whether the B100 or B200 best fits your deployment, then delivery. Every unit is verified before shipment and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available.