NVIDIA B300: The Air-Cooled Blackwell Ultra Option

B300 is the Blackwell Ultra generation's air-cooled option — a meaningful memory and compute step up from H100/H200-class hardware, without requiring the direct-liquid-cooling plant a GB300 NVL72 rack needs. For operators standing up capacity in an existing, conventional data hall, that's often the deciding factor.

It's well suited to large-model fine-tuning, high-throughput inference, and training workloads that fit within an 8-GPU HGX node's NVLink domain rather than needing rack-scale NVL72 coherence.

Two ways to access it, depending on what you're solving for:

The honest answer is that most teams don't need to guess — the workload tells you. If your models fit comfortably within an 8-GPU NVLink domain and your site runs conventional air-cooled data halls, B300 gets you Blackwell Ultra-class performance without a cooling-infrastructure project attached to it.

If you're training at a scale where rack-scale memory coherence is the actual bottleneck, or you're deploying into a facility already built or being built for direct liquid cooling, GB300's NVL72 architecture is the right conversation instead — see the GB300 page for that comparison in more depth.

Once we know your target GPU count, deployment type, and region, GPUs-as-a-Service capacity on infrastructure we've already sourced can move materially faster than a dedicated buildout — timelines depend on current allocation and your specific requirements, which is exactly what the first conversation is for. A dedicated deployment on a matched, financed site runs on the same general process as our other site-based work: qualify, assess, match capital, execute.

Roughly how many GPUs, your target deployment type (as-a-service vs. dedicated), timeline, and region preference. That's it for a first pass — enough for a real conversation about availability and structure, not a lengthy RFP.