Updated Hourly

AI Infrastructure Index

Tracking GPU cloud providers, inference APIs, MLOps platforms, and compute pricing across the AI stack. Automated hourly updates from public sources.

What This Index Covers

GPU Cloud Providers

Pricing, availability, and performance data for major GPU cloud platforms including on-demand and reserved instances.

Inference APIs

Latency, throughput, and cost comparisons across hosted inference endpoints for frontier and open-source models.

MLOps Platforms

Feature tracking for experiment management, model registries, deployment pipelines, and monitoring tools.

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Compute Pricing

Historical and current pricing trends for AI training and inference across major cloud providers.

Methodology

Data is collected hourly via automated pipelines from official provider documentation, public APIs, and community benchmarks. All collection scripts are open-source and auditable.

50+Providers Tracked
4Data Categories
HourlyUpdate Frequency
100%Open Source

Explore This Index

GPUs

Cloud Providers

  • All ProvidersCompare GPU cloud providers side by side
  • Microsoft AzureEnterprise SLAs, global regions, hybrid cloud
  • CoreWeaveGPU-native, Kubernetes-first infrastructure
  • LambdaML-optimized, Lambda Stack, reserved capacity
  • RunPodServerless GPU, spot pricing, community cloud
  • VultrGlobal edge, simple API, bare metal
  • NebiusEU data sovereignty, DGX-ready
  • Vast.aiMarketplace model, cheapest spot GPUs
  • Together AIInference-optimized, open-source models
  • Oracle Cloud (OCI)Bare metal, RDMA networking, superclusters
  • Cudo ComputeSustainable, distributed, competitive pricing
  • FluidStackLow-cost, on-demand, API-first
  • PaperspaceGradient platform, notebooks, easy onboarding

Analysis & Guides

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