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MI300X on Crusoe: Pricing, Specs & How to Rent

Deploybase · September 11, 2025 · GPU Pricing

Contents

MI300X GPU Specifications

AMD's MI300X represents a major alternative to NVIDIA's H100 and H200 for large-scale AI workloads. The processor features 192GB of HBM3 memory, significantly exceeding most NVIDIA offerings. This memory capacity enables training and inference of extremely large models without sophisticated sharding techniques.

The MI300X delivers peak performance of 2,610 TFLOPS in FP8 mode and 163.4 TFLOPS in FP32 mode. Memory bandwidth reaches 5.3 TB/s, matching or exceeding the H200. The GPU supports all modern AI framework requirements including PyTorch, TensorFlow, and JAX.

The MI300X excels at training very large models like Llama 70B or larger variants from scratch. Its memory abundance makes it ideal for research teams exploring novel architectures. The processor also handles inference at scale, supporting hundreds of concurrent requests across clusters of MI300X GPUs.

Crusoe MI300X Availability and Pricing

Crusoe Energy provides GPU cloud services powered by sustainable, clean energy sources. As of March 2026, Crusoe offers MI300X GPUs through its cloud platform, though availability remains limited compared to NVIDIA-based providers.

Crusoe emphasizes energy efficiency and environmental sustainability, appealing to teams prioritizing carbon footprint reduction. The provider uses renewable energy and waste heat recovery to minimize environmental impact. This approach often results in competitive pricing relative to conventional data center providers.

Specific pricing for individual MI300X units on Crusoe varies based on cluster configuration and region. Multi-GPU clusters are typically quoted on request rather than published through self-serve interfaces. Prospective customers should contact Crusoe's sales team for current rates.

Crusoe's commitment to sustainability makes it particularly attractive for AI teams with environmental commitments. Many teams prioritizing ESG initiatives prefer Crusoe despite potential premium costs compared to traditional providers.

How to Rent MI300X on Crusoe

Renting MI300X GPUs from Crusoe begins with contacting the provider's sales team. Unlike fully self-serve platforms, Crusoe handles production deployments with personalized support.

Visit crusoe.AI and submit a contact form describing computing requirements. Include details about the model size, training duration, and performance requirements. Crusoe representatives will schedule a consultation to discuss options.

During the consultation, Crusoe's team proposes configurations matching the workload specifications. Standard offerings include single-GPU instances, multi-GPU clusters, and dedicated tenants for long-term commitments.

After selecting a configuration, Crusoe provisions the GPUs on agreed timelines, typically within days. Access is provided through standard Linux instances with SSH connectivity. NVIDIA's CUDA toolkit and AMD's ROCM tools come pre-installed.

Crusoe can integrate with existing infrastructure through private networking or public API endpoints. Data transfer into Crusoe's network is often provided free or at heavily discounted rates for new customers.

MI300X vs NVIDIA Alternatives

AMD's MI300X competes most directly with NVIDIA's H100 and H200 for large-scale training. The 192GB memory advantage eliminates the need for intricate distributed training strategies required on H100s with less memory.

NVIDIA maintains software ecosystem advantages. Most popular frameworks and tools were built first for CUDA, then extended to AMD's ROCm. This creates potential compatibility issues and reduced community support for AMD-based workloads.

For pure performance per dollar on training very large models, MI300X offers strong value. The memory capacity justifies premium pricing when teams would otherwise need multiple H100s.

H100 specifications and comparisons provide additional context. Crusoe's approach to clean energy GPU computing explores broader provider differentiation beyond raw hardware.

FAQ

Is ROCm production-ready for large-scale training? ROCm maturity has improved significantly. Major frameworks support it well, but edge cases and advanced features may lag CUDA. Extensive testing is recommended before committing to ROCm for critical production workloads.

What is Crusoe's pricing compared to NVIDIA-based providers? Crusoe publishes less transparent pricing. production customers typically receive custom quotes. Contact Crusoe directly for specific rate information.

Can I move my existing CUDA code to MI300X? Most CUDA code can be ported to ROCm, but some modifications are usually necessary. Crusoe provides migration support for serious customers.

Does Crusoe offer spot or preemptible instances? Crusoe's offerings focus on long-term rentals rather than spot instances. Dedicated capacity often receives price discounts compared to hourly on-demand rates.

What is Crusoe's data center location? Crusoe operates data centers powered by renewable energy. Contact their sales team for specific location information and latency requirements.

Crusoe Energy GPU Cloud: Clean Energy Computing provides comprehensive provider overview.

GPU Pricing Comparison Guide includes alternative providers and NVIDIA options.

AMD MI300X Datasheet offers detailed technical specifications.

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