Google Cloud vs PowerGPU at a glance
Google Cloud
Compute Engine A3 (H100), A2 (A100), G2 (L4) machine types and Vertex AI
PowerGPU
Fixed prices at market median × 0.70, crypto only, verified datacenters
| Google Cloud | PowerGPU | |
|---|---|---|
| Billing | Per second, 1-minute minimum | Per second, no minimum, price locked at deploy |
| Payment | Card, invoicing | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL |
| Identity | Card and verification; GPU quota requests | Email + password. No KYC, no card, no stored IP addresses |
| Free credit | $300 trial credit (GPU quota usually 0) | None — every hour is ≥30% under the market median instead |
| Cheaper tier | Spot VMs (−60–90%), committed use (−37–55%) | Interruptible flat −50% (no auction) · reserved −35% (3+ months) |
| Regions | 40+ | 32 regions on 5 continents, verified datacenters only |
| Minimums | A3 = 8-GPU VMs | None — 1× to 8× GPUs at the same per-GPU price |
| Storage | Persistent Disk / Hyperdisk from $0.10/GB/mo | $0.08/GB/month NVMe, volumes survive instances |
| Egress | $0.08–0.12/GB | $0.01/GB in and out, every region |
| Access | VMs, GKE, Vertex AI, full GCP API | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK |
Google Cloud column: as published on cloud.google.com on 2026-09-03. Details change — verify before you decide.
Google Cloud vs PowerGPU prices, GPU by GPU
Public on-demand list prices per GPU-hour on Google Cloud's pricing page (2026-09-03) against PowerGPU's fixed rates today — every PowerGPU price is the public marketplace median × 0.70, rounded down, re-checked weekly.
| GPU | Google Cloud list | PowerGPU on-demand | PowerGPU interruptible | Difference |
|---|---|---|---|---|
| H100 SXM a3-highgpu-8g, us-central1 list, per GPU | $11.06 | $1.587 | $0.793 | −86% on PowerGPU |
| A100 SXM4 a2-highgpu-1g, 40 GB per GPU | $3.67 | $0.583 | $0.291 | −84% on PowerGPU |
| L4 g2-standard-4 | $0.70 | $0.225 | $0.112 | −68% on PowerGPU |
| Tesla T4 T4 attached to an N1 VM, GPU only | $0.35 | $0.104 | $0.052 | −70% on PowerGPU |
Configurations differ (node sizes, tiers, regions); the note beside each card says which Google Cloud price is quoted. Negative differences mean Google Cloud is cheaper on that card.
When to stay with Google Cloud
- Vertex AI, BigQuery and GCS are the backbone of your pipeline.
- You have committed-use contracts or TPU workloads that only exist on Google Cloud.
- Your compliance posture is certified against GCP specifically.
Why teams switch to PowerGPU
- Price: A3 H100 lists at about $11 per GPU-hour; PowerGPU fixes the H100 SXM at the public market median × 0.70.
- Single GPUs without quota tickets — A3 is 8-GPU only and new projects start with a GPU quota of zero.
- Crypto, no KYC, per-second billing, flat egress at $0.01/GB.
Switching from Google Cloud: what maps to what
| On Google Cloud | On PowerGPU |
|---|---|
| a3-highgpu-8g | 8× H100 SXM machine, or 1×–4× at the same per-GPU price |
| a2 / g2 VM | A100 / L4 instance |
| Spot VM | Interruptible instance, flat −50% |
| Persistent Disk | Volume, $0.08/GB/month |
| Deep Learning VM image | PyTorch / NGC templates or a full Ubuntu VM |
pip install powergpu
export POWERGPU_API_KEY=pg_live_… # console → API keys
powergpu launch --gpu h100-sxm --template pytorch --disk 100 --volume data:/data
# ✓ instance i-52ab77c1 running (24.1s) · $1.587/hr · per second
powergpu stop i-52ab77c1 # billing ends this secondData moves the boring way: rsync or rclone from your Google Cloud machine to a PowerGPU volume, which then mounts on every future instance in seconds. Templates for PyTorch, vLLM, ComfyUI and Ollama are official images; anything else runs from its OCI reference.
A real month, costed
| Scenario | Google Cloud | PowerGPU |
|---|---|---|
| 1× H100 SXM, 730 hours on-demand | $8,074 | $1,159 |
| 1× H100 SXM, 8 h/day × 20 days | $1,770 | $254 |
| Same 160 hours, PowerGPU interruptible | — | $127 |
| 500 GB of storage, one month | Persistent Disk / Hyperdisk from $0.10/GB/mo | $40 |
Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.
Google Cloud GPU alternative: FAQ
How does PowerGPU compare with Google Cloud A3 pricing?
A3 H100 machine types list at roughly $11 per GPU-hour on-demand in us-central1 (checked 2026-09-03); PowerGPU fixes the H100 SXM at the public market median × 0.70 and rents from one card. Google's Spot VMs narrow the gap but can be preempted with 30 seconds' notice.
Do I need a quota increase on PowerGPU?
No. New accounts have modest default limits that raise automatically with history; nothing starts at zero.
Try the switch for the price of a coffee
Top up $30 in USDT or Monero, deploy the same image you run on Google Cloud, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.
Google Cloud and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Google Cloud. NVIDIA GPU names are trademarks of NVIDIA Corporation.
