Air-cooled HGX variant of the Blackwell architecture with 192 GB HBM3e memory. Lower power envelope than B200 (700 W vs 1000 W) at roughly 78% of the compute, suited to existing HGX H100 chassis upgrades.
VRAM
192 GB
Memory
HBM3e
Bandwidth
8,000 GB/s
FP16
3,500 TF
TDP
700 W
Compute throughput shown with 2:4 structured sparsity. Drop-in replacement for HGX H100 8-GPU baseboards.
Estimates based on INT8 quantization. Actual fit depends on framework and batch size.
The manufacturer's other cards in the catalog, largest memory first, with bandwidth and power where published.
Answered from the entry's own figures: memory, which models fit, bandwidth, power and the card's class.
NVIDIA B100 SXM has 192 GB of HBM3e at 8,000 GB/s. At INT8 a model's weights take about one byte per parameter, so the card holds roughly a 153B-parameter model with room for context; larger models need several cards or a lower precision.
From the catalog's estimates at INT8, Gemma 4 31B IT, Llama Nemotron Embed VL 1B V2, GLM Z1 9B 0414 and NVIDIA Nemotron Nano 12B V2 VL BF16 fit on a single NVIDIA B100 SXM with their default context. The list on this page shows the estimated memory each takes; the capacity planner sizes any model against this card for your own context length, batch size and request rate.
8,000 GB/s. Bandwidth bounds how fast a model generates tokens, because every token reads the whole set of weights and the KV cache from memory; at this rate a 153B model at INT8 could be read on the order of 52 times a second on one card, before batching and framework efficiency.
NVIDIA B100 SXM has a TDP of 700 W, with a maximum of 800 W, in the SXM form factor. Budget the TDP per card plus host overhead when sizing a server's power and cooling.
NVIDIA B100 SXM is a datacenter accelerator, meant for servers and multi-GPU serving, built on the Blackwell architecture and released in 2024. It supports a multi-GPU interconnect at 1,800 GB/s, so a model larger than one card can be split across several.
Specifications from the manufacturer's published material; a figure that is not published is shown as such, and a derived one is explained in the notes.
Added Apr 30, 2026 · Last updated Apr 30, 2026
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