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Nebula Block: Hosting Cost-Effective Infrastructure Solutions for NVIDIA B300

Tracy Giang

• 3 min read
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Nebula Block: Hosting Cost-Effective Infrastructure Solutions for NVIDIA B300
Nebula Block: Hosting Cost-Effective Infrastructure Solutions for NVIDIA B300

There's a problem in AI infrastructure that doesn't get talked about enough: power.

Everyone's racing to get their hands on NVIDIA's new Blackwell Ultra GPU, the B300, and for good reason — it's a serious leap forward for FP4 inference and large-scale LLM training. But the B300 also runs hot. Really hot.

Each chip can draw up to 1,400 watts at peak, and once you start stacking these into real clusters, you run into a wall that has nothing to do with compute and everything to do with your local power grid.

At Nebula Block, we built our infrastructure specifically to get around that wall. Here's how we're hosting B300 clusters at power prices below $200 per kW—and why it's possible in the first place.

The Catch With Blackwell Ultra

The B300 is genuinely impressive hardware. It packs 288GB of HBM3e memory per GPU (up from 192GB on the B200), which means a single chip can now hold a 70B-parameter model in FP16 with room to spare for KV cache and batching — no heavy quantization required. That's a real shift for teams trying to run frontier-scale models without juggling complex multi-GPU sharding.

But that extra memory and compute density comes at a cost: power draw jumped roughly 40% over the previous generation. And that changes the math for anyone planning to deploy at scale.

The conversation isn't just

"how much does it cost to rent or buy these chips"
anymore it's
"what does it cost every single month to keep them powered and cooled."

In a lot of traditional data centers, that operating cost alone is enough to eat into an AI company's margins before the model even ships.

How We're Keeping Power Costs Down

Our approach starts with where we build, not just how. Nebula Block's infrastructure is anchored in Canada, and we've built our power strategy around clean, locally sourced energy rather than relying on stretched commercial grids in major US metros.

The idea is straightforward: by sourcing power outside the congested grids that most AI clouds compete for, we leverage green hydro energy to offer exceptionally low, stable power pricing. In fact, we are able to keep power costs below $200 USD per kW for heavy B300 workloads — completely bypassing the volatility and premium rates you'd see trying to provision dense GPU racks in a constrained urban grid.

That translates into a few concrete things for teams hosting with us:

  • Lower OpEx. Hosting bills come in well below what you'd typically pay running the same workload on a legacy public cloud, thanks to sub-$200/kW pricing.
  • Room to actually scale. You're not fighting regional grid caps every time you want to add another rack of B300s.
  • A real answer for ESG requirements. Powered by 100% green hydro energy, your infrastructure automatically meets strict corporate sustainability and compliance mandates.

You Can't Air-Cool This Thing

One thing that's non-negotiable with the B300: traditional air-cooled racks just aren't built for it. These chips run too hot for standard HVAC setups to keep up.

That's why Nebula Block's data centers are built around Direct Liquid Cooling (DLC) from the ground up. Liquid pulls heat away from the silicon far more efficiently than air, which keeps our Power Usage Effectiveness (PUE) low and more importantly for you means your GPUs aren't throttling under load.

Combine that with cheaper, more stable power, and you get B300 clusters running at full clock speed around the clock, instead of quietly downclocking themselves to avoid overheating.

Built in Canada, Ready for the World

Beyond the power and cooling story, hosting with Nebula Block means your data — fine-tuning runs, proprietary models, sensitive training sets — stays on Canadian sovereign infrastructure. For teams navigating data residency requirements or just looking for an alternative to US-based hyperscalers, that's a meaningful difference, not just a compliance checkbox.

The bottom line: legacy data center economics shouldn't be the thing deciding how far you can push your AI roadmap. With B300 clusters hosted on infrastructure built specifically to handle their power and thermal demands, you get the performance without the usual operational headache.

Want to see what this looks like for your workload?

  • Reach out to our team for custom B300 cluster pricing.
  • Check out our docs for the full picture on our Canadian sovereign hosting setup.
  • Come hang out in the Nebula Block community.

Learn more at

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