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NVIDIA B300 (Blackwell Ultra) logo
hardware Data Center AI Accelerators

NVIDIA B300 (Blackwell Ultra)

by NVIDIA

Blackwell Ultra single-GPU module for AI reasoning at scale

Pros

  • Major inference uplift over B200
  • Huge memory for large context windows
  • Broad cloud availability in 2026
  • Drop-in for existing Blackwell infrastructure

Cons

  • ~$40K-$50K per GPU
  • 1000W+ power, liquid cooling recommended
  • Allocation still tight at hyperscalers
  • Overkill for anything but frontier-scale workloads

✓ Where it shines / best for

  • Frontier LLM training and large-scale reasoning-model inference
  • Enterprises and clouds building rack-scale GB300 NVL72 clusters
  • Memory-bound large-context model serving (288 GB HBM3e)

✕ Not the best fit for

  • Budget-constrained or small-scale deployments
  • Edge / on-device use (data-center class power and cooling)
  • Buyers wanting a fixed public list price per unit

Features

  • ✓ Blackwell Ultra architecture — ~1.5x dense FP4 compute over B200
  • ✓ 288 GB HBM3e memory per GPU (vs 192 GB on B200)
  • ✓ FP4/FP6/FP8 low-precision support tuned for inference 'reasoning' models
  • ✓ Fifth-generation NVLink and NVLink Switch for rack-scale GB300 NVL72
  • ✓ Up to ~8 TB/s memory bandwidth per GPU
  • ✓ Designed for large-context, high-throughput LLM inference and training
  • ✓ Full NVIDIA AI Enterprise / CUDA software ecosystem support

Pricing

PlanPriceBillingNotes
GPU / system purchaseCustom quote (~$30,000–$45,000+/GPU est.)one-timeSold through OEMs and system integrators in DGX/HGX/GB300 systems; not list-priced individually. Premium over B200.
DGX B300 systemCustom quoteone-time8-GPU DGX B300 platform sold as a complete system via NVIDIA partners.
Cloud rentalUsage-basedper GPU-hourAvailable via major cloud providers (CoreWeave, Azure, etc.) at per-hour rates by contract.

Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.

Specifications

useData center training and reasoning inference
power~1,100-1,400W
memory~288GB HBM3E
performance~15 PFLOPS FP4 (dense), higher sparse
architectureBlackwell Ultra (TSMC 4NP)
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A full review is being generated for this product and will appear here shortly.

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