The NVIDIA B300 is one of the most powerful data center GPUs you can rent in 2026, built on the Blackwell Ultra architecture with 288 GB of memory per GPU. Demand is high and supply is still ramping, which keeps pricing volatile and access limited.
The pricing for a full DGX system (8 x B300) is opaque and the source of much speculation, that means buying is rarely an option. The practical question is what it costs to rent, and whether you need this much GPU at all.
This guide breaks down current NVIDIA B300 cloud pricing across providers, compares it to the B200 and H100, and helps you decide if the premium is justified for your workload.
NVIDIA B300 Price Overview
The B300 isn't sold as a standalone card, it ships only inside HGX and DGX systems bought through NVIDIA's partner network, and NVIDIA doesn't publish list prices. For nearly everyone, the practical question isn't the purchase cost but what it costs to rent, and whether you need this much GPU at all.
Because ownership is impractical for most teams, cloud rental is how the B300 actually gets used. On-demand rates currently start near $7.10 /GPU-hr on neoclouds and climb past $17 on hyperscalers. The pricing information in this guide is reviewed weekly.
| Provider | GPU / Instance | On-Demand $/GPU-hr | Notes |
|---|---|---|---|
| Modal | B300 | $7.10 | |
| Runpod | B300 | $7.39 | |
| Nebius | B300 | $7.85 | |
| Oracle Cloud | OCI B300 | $15.00 | |
| AWS | p6-b300.48xlarge | $17.80 | Normalized from an 8-GPU node. Cheapest US region: us-east-1. |
| Last reviewed on August 7, 2026. | |||
Why NVIDIA B300 Cloud Pricing Is So High
Three factors keep B300 rates well above older GPUs:
- Low Supply: Blackwell Ultra parts are in heavy demand for large-scale AI training, and production has not caught up.
- Restricted Access: Much of the early B300 capacity is committed to large enterprise customers and long-term contracts, so on-demand supply for smaller teams is thin. When a scarce resource does reach the on-demand market, it commands a premium.
- Infrastructure: The B300 only runs in liquid-cooled, high-power systems with fast interconnects, and that specialized hardware raises the cost of every GPU-hour a provider sells.
NVIDIA B300 vs B200 vs H100
The B300 leads on raw capability, but the gap only matters for specific workloads. Its headline advantage is memory which lets a single B300 hold very large models without sharding across multiple GPUs.
For most fine-tuning, inference, and training jobs, the H100 remains the practical choice on both availability and cost. The table below compares the three across the specs that affect price and workload fit.
| Feature | NVIDIA H100 | NVIDIA B200 | NVIDIA B300 |
|---|---|---|---|
| Architecture | Hopper | Blackwell | Blackwell Ultra |
| GPU Memory | 80 GB HBM3 | 192 GB HBM3e | 288 GB HBM3e |
| Memory Bandwidth | 3,350 GB/s | 8,000 GB/s | 8,000 GB/s |
| On-Demand Cloud Price | $2.19 - $11.06/hr | $5.66 - $27.04/hr | $7.10 - $17.80/hr |
| Best For | Fine-tuning, inference, most training. | Large model training. | Very large model training and inference. |
AWS P6-B300 Instances
AWS offers the B300 through its EC2 P6 instance family, in an 8-GPU configuration. The p6-b300.48xlarge bundles eight B300 GPUs with high vCPU and memory allocations for large training runs.
As is typical for AWS, egress fees apply on top of the hourly rate after the first free tier. That makes the effective cost higher than the sticker price for data-heavy workloads.
| Provider | SKU | B300 GPUs | Hourly Price | Price Per-GPU |
|---|---|---|---|---|
| AWS | p6-b300.48xlarge | 8 | $142.40 | $17.80 |
Is the NVIDIA B300 Worth It?
For most teams, the B300 is more GPU than the workload needs. Its value is concentrated in one scenario: running or training very large models where 288 GB of memory per GPU removes the need to split a model across several cards. If you are serving a 130B-parameter model that would otherwise span multiple GPUs, one B300 can simplify the deployment and lower cost per query.
Outside that scenario, the economics favor the H100. It is widely available with no waitlist, costs a fraction of the B300 per hour, and handles the vast majority of real-world training and inference. Two H100 GPUs often deliver comparable results for workloads that do not strictly need Blackwell Ultra memory.
Last Thoughts on NVIDIA B300 Pricing
The B300 justifies its premium only for very large model training with the budget to match, and its availability stays constrained while the Blackwell Ultra rollout matures.
FAQ
How Much Does an NVIDIA B300 Cost?
The pricing for a full DGX system (8 x B300) is opaque and the source of much speculation. The floor is probably between $350,000-$500,000.
What Is the NVIDIA B300 Cloud Price?
On-demand B300 cloud pricing currently ranges from about $7.10-$17.80/GPU-hr across providers, with neoclouds at the low end and hyperscalers at the high end. Spot rates can drop lower but are interruptible.
How Much VRAM Does the NVIDIA B300 Have?
The B300 has 288 GB of HBM3e VRAM per GPU with 8,000 GB/s of bandwidth.
What Is the Difference Between the B300 and B200?
The B300 (Blackwell Ultra) carries 288 GB of VRAM versus the B200's 192 GB and delivers higher throughput. Both are SXM-only datacenter modules; the B300 draws more power at 1,400W.
Can You Buy a Single NVIDIA B300?
Not practically. The B300 is a 1,400W SXM6 module with no PCIe version, so it only runs in purpose-built liquid-cooled servers. Renting from a cloud provider is the realistic way to access one.