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Google Cloud vs Shadeform: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Shadeform. Updated July 2026.

Provider Overview

Attribute
Google Cloud
Shadeform
Provider type
Hyperscaler
Marketplace
Founded
2008
2023
Headquarters
Sunnyvale, CA
San Francisco, CA
Billing model
On-demand, Committed Use (1yr/3yr), Spot/Preemptible
On-demand, Spot
Min commitment
None (on-demand)
None
Support tier
Basic → Premium
Community → Enterprise
Regions
5 regions
4 regions

Strengths & Best For

Google Cloud

Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.

Strengths
  • Sustained use discounts
  • Vertex AI integration
  • TPU availability
  • Strong networking
Best For
ML training pipelinesTensorFlow workloadsTeams using GCP services
Visit Google Cloud
Shadeform

Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.

Strengths
  • 30+ provider network
  • Single API
  • Automatic cheapest-price routing
  • Wide GPU selection
Best For
Teams wanting multi-cloud flexibilityCost-optimized provisioningSpot-tolerant workloads
Visit Shadeform

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Google Cloud — 5 regions
us-central1us-east4europe-west4asia-east1asia-northeast1
Shadeform — 4 regions
USEUAPACVarious

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Full Google Cloud profile Full Shadeform profile

Google Cloud — hyperscaler provider

Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.

Shadeform — marketplace provider

Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.

Billing model comparison

Google Cloud uses a On-demand, Committed Use (1yr/3yr), Spot/Preemptible billing model with a minimum commitment of None (on-demand). Shadeform uses On-demand, Spot billing with a None minimum. Google Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Shadeform's commitment requirement suits teams with predictable long-running jobs.

Which workloads each provider suits best

Google Cloud is best suited for: ML training pipelines, TensorFlow workloads, Teams using GCP services. Its key strengths are sustained use discounts, vertex ai integration, tpu availability. Shadeform is best suited for: Teams wanting multi-cloud flexibility, Cost-optimized provisioning, Spot-tolerant workloads. Its key strengths are 30+ provider network, single api, automatic cheapest-price routing. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.

Support tiers and region coverage

Google Cloud offers Basic → Premium support across 5 regions (us-central1, us-east4, europe-west4 and 2 more). Shadeform offers Community → Enterprise support across 4 regions (US, EU, APAC and 1 more). Google Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Google Cloud vs Shadeform

Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Shadeform was founded in 2023 and is headquartered in San Francisco, CA. Google Cloud has 15 years more operational history than Shadeform, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.