NVIDIA B300 GPU Price Per Hour, Per Month and Per Year

The NVIDIA B300 GPU price is not officially published as a fixed NVIDIA list price because B300 GPUs are generally offered as part of HGX or DGX systems through authorised partners. For cloud users, current indicative market rates range from approximately $4.49 to $21.36 per GPU-hour, depending on the provider, region, availability, instance configuration, and billing model.

*Monthly calculations are based on 730 usage hours, while yearly calculations are based on 8,760 usage hours. These are indicative estimates and exclude storage, networking, data transfer, software, support, taxes, and other infrastructure charges.

What Determines B300 Pricing?

The NVIDIA B300, also known as Blackwell Ultra, is designed for demanding AI workloads such as large language model training, inference, reasoning, multimodal AI, and high-performance computing. Its cloud price depends on several factors:

On-demand usage: Provides flexible access without a long-term commitment but usually carries a higher hourly rate.

Reserved capacity: Long-term commitments can reduce the effective hourly cost.

Spot or interruptible pricing: Offers lower rates but may be interrupted when demand increases.

GPU configuration: A single GPU, multi-GPU server, HGX system, or DGX platform can have significantly different prices.

Memory and system resources: CPU, system RAM, storage, networking, and GPU memory allocation affect the total cost.

Region and availability: Pricing varies according to location, electricity costs, infrastructure availability, and market demand.

Support and managed services: Enterprise-grade monitoring, security, technical support, and orchestration may increase the final price.

Public market trackers show a wide variation in B300 rental rates. Some providers list rates near $7 per GPU-hour, while premium hyperscale or managed environments may exceed $15 per GPU-hour. Other pricing comparisons report B300 rates from approximately $3.13 to $18 per hour, depending on reservation length and service model.

Estimated Monthly and Annual Cost

The following estimates illustrate the cost of running one NVIDIA B300 GPU continuously:

On-demand estimate

At an indicative rate of $4.49 per hour:

Monthly cost: $4.49 × 730 = approximately $3,278

Annual cost: $4.49 × 8,760 = approximately $39,332

At an indicative rate of $21.36 per hour:

Monthly cost: $21.36 × 730 = approximately $15,593

Annual cost: $21.36 × 8,760 = approximately $187,114

These figures represent continuous GPU runtime. If the GPU is used only for a few hours daily, the actual bill will be considerably lower.

For example, using one B300 GPU for 8 hours per day at $8 per hour would cost approximately:

Daily cost: $64

Monthly cost: $1,920

Annual cost: $23,040

The final cost may also include persistent storage, operating system images, high-speed networking, data transfer, orchestration, technical support, and applicable taxes.

Is Renting a B300 Better Than Buying?

Renting an NVIDIA B300 GPU can be more practical for organisations that need flexible or temporary access to advanced compute. It avoids the high upfront cost of purchasing complete GPU servers and also transfers responsibility for power, cooling, maintenance, networking, and infrastructure management to the cloud provider.

Buying may be more economical for organisations with predictable, continuous workloads and the capital to operate dedicated infrastructure. However, B300 systems require specialised power and cooling infrastructure. NVIDIA’s DGX B300 platform is positioned as an AI infrastructure system for advanced AI reasoning and enterprise workloads.

Businesses should compare:

Expected GPU utilisation.

Duration of the project.

On-demand versus reserved pricing.

Data transfer requirements.

Storage and networking costs.

Compliance and data residency needs.

Support and service-level requirements.

Availability of equivalent GPU alternatives.

For short-term experiments, model development, and burst workloads, hourly rental is usually more flexible. For production inference, model training, or long-running workloads, reserved capacity or a dedicated cluster may offer better cost predictability.

Frequently Asked Questions

What is the cheapest NVIDIA B300 cloud price?

Public listings vary, but market trackers have reported rates starting at approximately $4.49 per GPU-hour, while other providers may charge considerably more based on availability and configuration. Spot or interruptible capacity may be cheaper than standard on-demand access.

How much does an NVIDIA B300 cost per month?

At continuous usage, an indicative price range of $4.49–$21.36 per hour translates to approximately $3,278–$15,593 per month, based on 730 hours.

How much does an NVIDIA B300 cost per year?

At continuous usage, the estimated annual cost is approximately $39,332–$187,114 per GPU, excluding additional cloud charges.

Does NVIDIA publish an official B300 price?

NVIDIA does not generally publish a standard standalone cloud rental price for the B300. The GPU is commonly deployed within HGX or DGX systems, and final pricing is determined by system vendors and cloud providers.

What workloads are suitable for the B300?

The B300 is suitable for large-scale model training, generative AI, reasoning models, multimodal workloads, high-throughput inference, synthetic data generation, scientific computing, and other compute-intensive applications.

Conclusion

The NVIDIA B300 is a high-performance GPU designed for next-generation AI training, inference, and reasoning workloads. Its indicative rental price can range from approximately $4.49 to $21.36 per GPU-hour, resulting in an estimated monthly cost of $3,278–$15,593 or an annual cost of $39,332–$187,114 for continuous usage. Because pricing changes with availability, configuration, region, and commitment period, organisations should request a tailored quote based on their workload, GPU count, storage, networking, and service requirements.