GPU Cloud Comparison Report: 17 Neoclouds for AI Infrastructure
COMPREHENSIVE ANALYSIS
Compare 17 GPU cloud providers across pricing, InfiniBand networking, storage, Kubernetes, and enterprise readiness.
What’s Inside
This 50+ page report provides what you won’t find on vendor websites: honest assessments of each provider’s strengths, weaknesses, and best-fit use cases.
Detailed Comparison Tables:
- GPU pricing (H100, H200, B200, GB200) with PCIe vs SXM distinctions
- InfiniBand networking speeds and topology (400Gb/s Quantum-2 vs RoCE)
- Storage options (block, object, shared filesystems) with performance benchmarks
- Kubernetes and Slurm support across all providers
- Egress pricing, network services, and compliance certifications
17 Provider Profiles:
- Nebius, CoreWeave, Crusoe, Lambda, Voltage Park
- GMI Cloud, RunPod, Hyperstack, DataCrunch/Verda
- Vultr, OVHcloud, FluidStack, Vast.ai, TensorWave
- Hot Aisle, Nscale, SF Compute
Each profile includes infrastructure details, competitive strengths, operational gaps, and optimal use cases.
Recommendations by Workload:
- Production multi-node training
- Cost-optimized experimentation
- European data sovereignty
- AMD GPU access
vs. Hyperscalers: See how neoclouds compare to AWS ($6.88/hr), GCP ($11.06/hr), and Azure ($12.29/hr) for H100 instances—with pricing 50-80% lower and self-service provisioning instead of quota approvals.
Who This Report Is For
- Infrastructure engineers evaluating GPU cloud providers
- ML engineers planning distributed training deployments
- DevOps teams building AI platforms
- CTOs making build-vs-buy decisions for GPU infrastructure
Download the report to make an informed decision backed by verified technical specifications and pricing data.
Saturn Cloud is a data science and machine learning platform for teams. Data scientists can quickly use Python, R, Julia, and more with massive amounts of RAM, GPUs, and distributed clusters.