GuideMarch 12, 2026•12 min read
Google Cloud GPU Pricing: Complete Guide 2026
Google Cloud offers the most diverse GPU lineup of any major cloud in 2026 — from budget T4s to H100 clusters to TPU v5e. This guide breaks down every option and how to minimize costs.
GCP GPU Instance Pricing (us-east-1, 2026)
| Instance | GPU | On-Demand | Spot |
|---|---|---|---|
| a3-highgpu-8g (÷8) | 1× H100 80GB | ~$4.10/hr | ~$1.23/hr |
| a2-ultragpu-1g | 1× A100 80GB | $5.10/hr | ~$1.53/hr |
| a2-highgpu-1g | 1× A100 40GB | $3.67/hr | ~$1.10/hr |
| g2-standard-4 | 1× L4 24GB | $0.71/hr | ~$0.25/hr |
| n1 + T4 | 1× T4 16GB | ~$0.35/hr | ~$0.11/hr |
Committed Use Discounts
- 1-year CUD: ~37% off on-demand pricing
- 3-year CUD: ~55% off on-demand pricing
- A100 80GB on-demand: $5.10/hr → $1yr: $3.21/hr → $3yr: $2.30/hr
GCP vs Dedicated GPU Clouds
GCP's on-demand pricing is 30–80% more expensive than dedicated GPU clouds for pure compute:
- GCP A100 40GB: $3.67/hr vs Lambda Labs: $1.29/hr (2.8× more expensive)
- GCP L4: $0.71/hr vs RunPod A10G: $0.69/hr (similar, GCP slightly higher)
- GCP T4 spot: $0.11/hr — actually competitive with Vast.ai for T4
When GCP Is the Right Choice
- Already using GCP services (BigQuery, GCS, Vertex AI, Gemini API)
- Need TPU v5e for JAX workloads (only available on GCP)
- Enterprise SLAs and Google support are required
- Seamless autoscaling across CPUs and GPUs needed
Compare GCP vs Other Providers
See how Google Cloud GPU pricing compares to 50+ alternatives.
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