FAQ · GPU Rental Price Comparison

As of 2026-10-31, the lowest network-wide hourly rate is approximately ¥8.28/hour (Paperspace (US), pay-as-you-go); domestic platforms offer pay-as-you-go rates around ¥20–30/hour. Full price comparison across 29+ platforms available at H100 Price Comparison Page, Auto-updates every 45 minutes.

A100 80GB (widely used for LoRA fine-tuning and small-to-medium training; lowest rate across platforms ≈ ¥5.47/hour) or A800 (≈ ¥5.15/hour); if budget allows, go straight to H100. Full-parameter training on consumer-grade GPUs is not recommended—insufficient VRAM leads to frequent OOM errors. Unsure which GPU to pick? Use this site.Free GPU Selection ToolAutomatically recommends GPUs by task.

Large model inference on RTX 4090 is ~60–80% faster than on RTX 3090 (both with 24 GB VRAM; RTX 4090 memory bandwidth nearly doubles); lowest nationwide rates: ¥0.87 vs ¥0.65/hour — the more you run, the better RTX 4090 pays off.

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Choose domestic platforms (AutoDL, Gpushare, Suanjiayun, etc.) for stability and local payment support; choose overseas platforms (Vast.ai, Salad, etc.) for rock-bottom pricing—if you can tolerate spot/preemptible volatility. Add ~200 ms latency budget for cross-border network delays. See detailed pros and cons per platform atPlatform Cross-Comparison。

All platform prices (29+) are automatically scraped every 45 minutes; homepage and per-GPU comparison pages refresh in sync; public pricing API (/api/prices) updates simultaneously and may be freely cited.

By GPU model: Entry-level GPUs (RTX 3090/4090) as low as ¥0.65–¥0.87/h across all platforms; professional GPUs (A100/A800) at ~¥5.47/h; flagship GPUs (H100) at ~¥8.28/h (Paperspace, US). Prices for the same GPU often vary 2–5× across platforms—full ranges shown inPrice insights。

For inference and entry-level fine-tuning: RTX 4090 (24 GB VRAM, low unit price); for large-batch training, 80 GB VRAM, or NVLink multi-GPU interconnect: A100. Rule of thumb: use RTX 4090 if your model + optimizer state fits within 24 GB; otherwise, choose A100.

If you use GPU resources for over 6–8 hours per day, opt for monthly subscription (typically 20%–40% cheaper); for sporadic debugging, use hourly rental. For one-off large jobs, first consider spot/preemptible instances (lower cost but subject to interruption—ensure your workload supports checkpoint resumption).

Typically 30%–70% cheaper than pay-as-you-go, but subject to forced termination when platform compute is tight (usually with several minutes’ notice; some platforms provide no warning). Suitable for checkpoint-friendly training, batch inference, and rendering; unsuitable for live services. This site records spot and pay-as-you-go prices separately—spot prices are excluded from the “Lowest Price Recommendation” ranking.

Domestic: AutoDL, Gpushare, MatPool (per-second/per-hour billing, Chinese UI, Alipay & WeChat Pay supported); Overseas: Vast.ai, RunPod (USD pricing, often featuring rock-bottom rates). Students should claim new-user vouchers from each platform first to save further.

No need to configure from scratch. Major platforms provide preconfigured images (PyTorch/CUDA/Stable Diffusion, etc.); simply select an image and launch instantly. Data can be mounted via cloud storage or object storage. Note: For pay-as-you-go instances, the system disk is typically not retained after shutdown—store critical data on data disks or object storage.

Four types of channels, serving different purposes: ① Third-party price comparison sites for real-time spot-rate lows—rentgpu.link (26 platforms, scraped every 45 minutes, only lists in-stock offerings), suanli.ai (broadest service provider coverage, requires timeliness verification), gpus.io (global-facing, 32 providers, 2,648 configurations, offers API and historical trend charts), GpuPerHour (25+ cloud vendors); ② Official cloud vendor pricing pages for list prices and contract discounts—Alibaba Cloud, Tencent Cloud, VolcEngine, AWS, Azure, GCP; ③ Industry price indices for market trends and negotiation benchmarks—Mysteel Compute Rental Price Index (launching September 2026, updated daily on business days, covering the eight national computing hubs under the East–West Data Transfer initiative and North America); ④ Government compute scheduling platforms for matchmaking and subsidies—Hangzhou Municipal Compute Resource Scheduling Service Platform (compute vouchers offer up to 30 % subsidy). No single source covers all needs; real-world inquiries should cross-verify at least 2–3 sources; full directory and ideal use cases per platform are detailed inComprehensive list of GPU compute price lookup platforms。

Four reasons: ① Different billing types (spot vs. pay-as-you-go vs. monthly); ② GPU variant differences (e.g., 40G/80G VRAM, NVLink availability); ③ Inclusion of CPU/memory/storage/bandwidth; ④ Platform subsidies and time-based discounts. This site only compares identical models, generations, and VRAM capacities, and explicitly notes billing methodologies in annotations to prevent sorting by non-comparable prices.