Rent NVIDIA B300 SXM6 Cloud Instances
📊 Pricing at a Glance
NVIDIA B300 SXM6 rental pricing ranges from $7.50/GPU/hr to $8.73/GPU/hr across 37 instances from 3 providers (updated June 2026).
Looking for a specific provider? See VERDA NVIDIA B300 SXM6, Scaleway NVIDIA B300 SXM6, or RunPod NVIDIA B300 SXM6.
Available Offers
Compare the top 5 cheapest offers from 3 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | NVIDIA B300 SXM6 262GB VRAM | 262GB | 30 vCPU 255GB RAM | Helsinki | $7.50/GPU/hr | Available | ||
VERDA | 2×NVIDIA B300 SXM6 262GB VRAM | 262GB | 60 vCPU 510GB RAM | Helsinki | $7.50/GPU/hr $15.00/hr total (2×) | Available | ||
VERDA | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 240 vCPU 2040GB RAM | Helsinki | $7.50/GPU/hr $60.00/hr total (8×) | Available | ||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available | ||
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr |
QuantaCloud
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Reserved and cluster configurations from 16 to 128 GPUs. 3, 6, or 12 month terms with InfiniBand fabric. Custom quote in 24 hours through our partner network.
Technical Specifications
Strengths & Limitations
- Exceptional performance for AI training and inference.
- High memory bandwidth for large datasets.
- Optimized for FP8 precision, improving efficiency.
- SXM6 form factor for high-density deployments.
- Leverages the advanced Blackwell architecture.
- High cost compared to other GPUs.
- Limited availability due to high demand.
- Requires specialized cooling and power infrastructure.
- SXM6 form factor limits compatibility with standard servers.
Top Use Cases
Ideal for training massive language models with billions of parameters, enabling faster iteration and improved accuracy.
Accelerates the development and deployment of generative AI models for image, video, and text generation.
Suitable for computationally intensive simulations and scientific research, benefiting from the GPU's parallel processing capabilities.
Real-World Benchmark
Market Analysis
The NVIDIA B300 SXM6 is positioned as a premium GPU for organizations requiring the highest levels of performance for AI and HPC workloads. Its high cost reflects its advanced capabilities and limited availability. It competes with other high-end GPUs such as the NVIDIA H200 SXM and AMD Instinct MI300X, but offers a unique combination of performance, memory bandwidth, and FP8 optimization. The market for these high-end GPUs is driven by the increasing demand for AI and the growing size of AI models.
Frequently Asked Questions
What is the power consumption of the B300 SXM6?▾
While the exact power consumption is not publicly specified, it is expected to be high, requiring robust cooling solutions.
What is the memory capacity of the B300 SXM6?▾
The memory capacity is expected to be substantial, leveraging HBM3e technology for high bandwidth and large capacity, but specific numbers are not yet publicly available.
What is the difference between SXM and PCIe versions?▾
SXM modules are designed for high-density deployments and offer higher bandwidth and power delivery compared to PCIe cards. They require specialized server infrastructure.
Alternative GPUs
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