Blog ▸ B300 GPU Pricing 2026: Wholesale Rates, Per-Hour Cost, and How It Compares to B200
GPU Infrastructure
B300 wholesale rates run $7.00 to $12.00 per GPU-hour. Here is the current market range, how B300 compares to B200 on cost per token, and what to expect from a quote.
B300 GPU Pricing 2026: Wholesale Rates, Per-Hour Cost, and How It Compares to B200
GPUaaS.com Team
GPU Infrastructure
July 20, 2026
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B300 wholesale rates run $7.00 to $12.00 per GPU-hour. Hyperscaler on-demand starts above $12.00, with some listings hitting $18.00 during availability spikes.
That's the number most people searching "B300 price" actually want. Here's what sits behind it.
Key takeaways
B300 on-demand rates range $5.63 to $18.00/hr across the market, with a median of $8.23 to $9.16/hr as of July 2026
Wholesale rates through GPUaaS.com typically land 30% below hyperscaler on-demand, in the $7.00 to $8.50/hr range on a $12.00 hyperscaler floor
36-month reservations can bring per-GPU cost to $3.27/hr, though this requires a long-term commitment
288GB of HBM3e memory, double B200's capacity, reduces multi-node pooling overhead for the largest models
Pricing has not stabilized yet because supply is still rolling out in stages, the same pattern H100 went through in its first year
Independent trackers put B300 on-demand rates between $5.63 an hour and $18.00 an hour. Median across tracked providers: $8.23 to $9.16 an hour as of July 2026. The spread exists because B300 is still early in its rollout. Production shipments started mid-2025. Pricing hasn't settled the way it has for older tiers like H100.
Reserved contracts pull the rate down hard. A 36-month reservation can bring per-GPU cost to $3.27 an hour on some platforms. That requires a commitment most teams evaluating B300 for the first time aren't ready to make.
◆ B300 VS B200 COST PER TOKEN
Where the memory premium pays off
B300 carries 288GB of HBM3e memory, double B200's capacity, at 8 TB/s bandwidth. That memory headroom matters directly for cost per token on large models. B300 holds larger batches and longer context windows without the multi-node memory pooling B200 sometimes needs for the biggest models. Less pooling means less communication overhead on inference.
For a workload that fits comfortably in B200's memory already, B300's extra cost doesn't pay for itself. For a workload pushing against B200's memory ceiling, forcing model sharding or aggressive quantization just to fit, B300's premium can come out cheaper per token once the reduced overhead is counted.
◆ WHY THE PRICE HASN'T STABILIZED
Following H100's same early curve
CoreWeave was first to general availability on GB300 NVL72 systems, August 2025. Nebius, AWS, Microsoft Azure, and Google Cloud followed through late 2025 and into 2026. Supply caught up to demand in stages, not all at once. That's most of why rates still swing this widely provider to provider.
Same pattern as H100's early rollout. Hyperscalers carried the new chip at a 3 to 5x premium over neocloud floors during the first year. The gap compressed as more providers came online.
$8.23-$9.16
the median B300 on-demand rate per GPU-hour across tracked providers as of July 2026
AIMultiple GPU Index, Tech Insider Blackwell Pricing Report, July 2026
GPUaaS.com sources B300 capacity from 20+ vetted providers, typically landing 30% below hyperscaler on-demand rates for the same configuration. On a $12.00 hyperscaler floor, that puts a wholesale quote in the $7.00 to $8.50 range for most standard configurations. In line with the independent market median.
Submit a spec, GPU count, region, contract length. Get a quote back within 24 hours.
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30% below hyperscaler rates. No buyer fees. For single GPUs, packet.ai handles self-serve access with 24/7 human support.
B300 on-demand rates range from $5.63 to $18.00 per GPU-hour across the market, with a median of $8.23 to $9.16 per hour as of July 2026. Wholesale rates through vetted providers typically land 30% below hyperscaler on-demand pricing, in the $7.00 to $8.50 range on a $12.00 hyperscaler floor.
Depends on the workload. If a model fits comfortably in B200's 144GB of memory, B300's extra cost doesn't pay for itself. If a workload is pushing against B200's memory ceiling and forcing model sharding or aggressive quantization to fit, B300's 288GB can reduce that overhead enough to come out cheaper per token despite the higher hourly rate.
B300 is still in early-availability rollout. CoreWeave reached general availability in August 2025, with Nebius, AWS, Azure, and Google Cloud following through late 2025 and into 2026. Supply is catching up to demand in stages, which is why rates still vary widely by provider. This mirrors H100's own early pricing curve.
Yes. Multi-year reservations can bring per-GPU cost down to around $3.27 an hour on some platforms, well below on-demand rates. This requires committing to a term of a year or more, which makes sense for validated, sustained workloads but not for teams still testing whether B300 fits their needs.
Submit a workload spec, GPU count, region, and contract length, and GPUaaS returns a competitive quote from a vetted provider within 24 hours, typically around 30% below hyperscaler on-demand rates.
Last reviewed: 21 July 2026. Pricing data from AIMultiple GPU Index, GPUs.io NVIDIA B300 Price Comparison, Tech Insider Blackwell GPU Pricing Report, GPUPerHour B300 SXM6 rental data, and DeployBase B300 Cloud Pricing analysis. Get a B300 cluster quote on GPUaaS.com.
