Prices updated 2026-06-10 — sourced from live provider data

Google Cloud A100-80GB Pricing Options

All available A100-80GB instance types on Google Cloud, sorted by lowest hourly rate.

Region Instance Type Price/hr GPUs vCPUs RAM
us-central1 a2-ultragpu-8g (8x A100) On-Demand $29.3912/hr Cheapest 8× GPU 96 vCPU 1360 GB

About Google Cloud A100-80GB Cloud Pricing

Google Cloud Platform offers GPU compute through its A2, A3, and G2 machine series, with deep integration into Vertex AI, TPU pods, and Google's proprietary ML infrastructure.

Why Choose Google Cloud for A100-80GB

  • TPU v5p available alongside GPU options for specific workloads
  • Vertex AI for managed ML pipelines
  • Sustained use discounts (automatic, no commitment needed)
  • Preemptible VMs for up to 60–91% savings on batch jobs

Best suited for: Teams using TensorFlow/JAX who want access to both GPU and TPU hardware, plus managed ML services via Vertex AI.

A100-80GB Technical Overview

ArchitectureAmpere
Memory80 GB HBM2e
Best ForFine-tuning large models (13B–70B parameters), medium-scale training, and memory-intensive inference

Google Cloud (GCP) offers H100 via their A3 Ultra machines in us-central1, us-east4, and europe-west4 -- exclusively as on-demand instances with sustained-use discounts applied automatically (no commitment required). GCP does not offer H100 spot instances, and reserved pricing requires 1 or 3-year committed use contracts. A key differentiator: GCP's H100 VMs come with 400 Gbps InfiniBand (via TrDeal links) enabling multi-node training clusters with near-NVSwitch-equivalent bandwidth, and you can attach Google Cloud's TPU v5p pods alongside H100 VMs for heterogeneous training pipelines. GCP's H100 pricing typically runs 15-25% above Lambda/CoreWeave equivalent configs.

Pricing Analysis

Google Cloud's cheapest A100-80GB option starts at $29.3912/hr, which is 957% above the market average of $2.7818/hr. Google Cloud currently offers on-demand pricing only for A100-80GB. This means no commitment required, but you won't access the deeper discounts available from reserved or spot pricing.

Note: GCP's sustained use discounts provide automatic savings without commitments, but their GPU availability can be more constrained than AWS in certain regions.

Market context: A100-80GB pricing has become very competitive as providers shift focus to H100/H200. It offers excellent value for workloads that need more VRAM than the 40GB variant but don't require Hopper performance.

Top Alternatives to Google Cloud for A100-80GB

Side-by-side cost comparison vs the cheapest Google Cloud A100-80GB rate ($29.3912/hr).

Provider Price/hr Type vs Google Cloud
Vultr $0.1250/hr On-Demand -100% cheaper vs Google Cloud
Vast.ai $0.5630/hr Spot -98% cheaper vs Google Cloud
Azure $0.8213/hr Spot -97% cheaper vs Google Cloud
Shadeform $0.9900/hr On-Demand -97% cheaper vs Google Cloud
RunPod $1.0000/hr On-Demand -97% cheaper vs Google Cloud

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Frequently Asked Questions

How much does Google Cloud A100-80GB cost per hour in 2026? +
Google Cloud A100-80GB starts at $29.3912/hr (on-demand). The market average for A100-80GB across all providers is $2.7818/hr. Use the GPU cost calculator to estimate total cost based on your hours and workload type.
What are the cheapest alternatives to Google Cloud for A100-80GB? +
There are 21 providers offering A100-80GB cheaper than Google Cloud: Vultr at $0.1250/hr, Vast.ai at $0.5630/hr, Azure at $0.8213/hr, and 18 more. 2 other providers offer A100-80GB at higher rates. See the full comparison table for all A100-80GB providers.
Does Google Cloud offer reserved or spot A100-80GB pricing? +
Google Cloud offers 1 pricing type for A100-80GB: on-demand. With on-demand only, you pay per hour with no commitment. While you won't get reserved or spot discounts, this provides maximum flexibility for unpredictable workloads.
What workloads is Google Cloud A100-80GB best suited for? +
The A100-80GB (Ampere architecture, 80 GB HBM2e) is best suited for Fine-tuning large models (13B–70B parameters), medium-scale training, and memory-intensive inference. Google Cloud is a hyperscaler provider — Teams using TensorFlow/JAX who want access to both GPU and TPU hardware, plus managed ML services via Vertex AI.
How much does it cost to run A100-80GB on Google Cloud for a month? +
At Google Cloud's cheapest A100-80GB rate of $29.3912/hr: running 24/7 costs ~$705.39/day or ~$21455.58/month per GPU. For training jobs, costs scale linearly — a 100-hour training run would cost ~$2939.12. Multi-GPU configurations multiply accordingly. Use the cost calculator for precise estimates with your specific parameters.
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