NVIDIA · Blackwell Ultra · Data centre

NVIDIA B300 (Blackwell Ultra)

Blackwell Ultra, the B200's successor, with more HBM3e memory per GPU, sold in HGX B300 systems.

270 GB memory1 variant6 sellers

01 / SPECIFICATIONS

What the hardware holds

Memory
270 GB
Memory bandwidth
7.7 TB/s
FP8 dense
4,500 TFLOPS
FP16 / BF16 dense
2,250 TFLOPS
Variant
B300 (HGX B300)
Memory type
HBM3e
Form factor
SXM (HGX B300 8-GPU baseboard)
Interconnect
NVLink 5 1.8 TB/s
Max power
1,100 W
Source notes for B300 (HGX B300)

NVIDIA Blackwell Ultra datasheet, 'Individual Blackwell Ultra GPU Specifications', HGX B300 column - per-GPU values printed directly (system: 8 GPUs, 2.1 TB, 62 TB/s). Datasheet lists FP16/BF16 Tensor 4.5 PFLOPS and FP8/FP6 9 PFLOPS with sparsity (footnote 2: dense is 1/2 sparse); dense = 2.25 / 4.5 PFLOPS. FP4 18 PFLOPS sparse | 14 PFLOPS dense. TDP configurable up to 1,100 W. Also PCIe Gen6 256 GB/s. Linked from https://resources.nvidia.com/en-us-blackwell-architecture/blackwell-ultra-datasheet.

Compute figures are dense, without sparsity. NVIDIA source for B300 (HGX B300) Checked 8 Nov 2026.

02 / MEMORY FIT

How many do you need to hold a model?

B300 (HGX B300) GPUs needed to hold model weights
Model sizeFP16 / BF16FP8INT4
8B parameters1 GPU16 GB of weights1 GPU8 GB of weights1 GPU4 GB of weights
70B parameters1 GPU140 GB of weights1 GPU70 GB of weights1 GPU35 GB of weights
405B parameters4 GPUs810 GB of weights2 GPUs405 GB of weights1 GPU203 GB of weights

GPUs = parameters × bytes per parameter × 1.2 headroom ÷ 270 GB, rounded up. This covers weights only. Long contexts, large batches, and training need much more memory.

03 / OFFERS

Reviewed on-demand rates

No reviewed rate yet. The sellers below list the B300; check their pricing pages for current terms.

Per GPU-hour divides a machine's hourly price by its GPU count, so single GPUs and 8-GPU nodes compare fairly. The billed price is what one machine costs per hour. Storage, network transfer, and minimum terms can add to the bill.

04 / SELLERS

Who lists the B300

Runpod, CoreWeave, Nebius, Crusoe, Vast.ai, DigitalOcean list the B300 without a rate we have reviewed. Ask them for a quote, especially for clusters of 8 or more GPUs.

05 / COMPARE WITH