--- title: "Spot GPU Instances Without Auctions — Flat 50% Off | PowerGPU" description: "Interruptible (spot) GPU instances at a flat 50% off, no bidding: H100 at $0.714/hr, RTX 4090 at $0.163/hr. Auto-requeue, disk kept, per-second billing." url: https://powergpu.ai/products/interruptible last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Products · interruptible # Interruptible (spot) GPUs: half price, zero auctions Interruptible instances cost a flat 50% of on-demand — H100 SXM at **$0.714** /hr instead of $1.428. No bids to place, no eviction markets to monitor: your job may pause under capacity pressure, your data never disappears. ### Flat −50%, always Not "up to". Not "from". Every model, every region: exactly half the on-demand price, fixed like everything else here. ### Disk survives Interruption = stop, not destroy. Checkpoints, datasets and outputs stay on the instance disk, billing drops to storage-only. ### Auto-requeue Interrupted instances rejoin the capacity queue automatically and restart from disk — overnight queues drain themselves. ### No babysitting Nothing to outbid at 2am. The console shows interruption events; webhooks tell your pipeline. That is the whole operational surface. ## The math on real jobs Same silicon as on-demand — the only difference is the eviction clause. | GPU | On-demand | Interruptible | 100 GPU-hrs cost | You save | | | --- | --- | --- | --- | --- | --- | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | $1.428 | $0.714 | $71.40 | −$71.40 | [Deploy](https://cloud.powergpu.ai/?gpu=h100-sxm&type=spot) | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | $0.560 | $0.280 | $28.00 | −$28.00 | [Deploy](https://cloud.powergpu.ai/?gpu=a100-sxm4&type=spot) | | [L40S](https://powergpu.ai/gpu/l40s) | $0.514 | $0.257 | $25.70 | −$25.70 | [Deploy](https://cloud.powergpu.ai/?gpu=l40s&type=spot) | | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | $0.439 | $0.219 | $21.90 | −$22.00 | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-5090&type=spot) | | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | $0.327 | $0.163 | $16.30 | −$16.40 | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-4090&type=spot) | | [RTX 3090](https://powergpu.ai/gpu/rtx-3090) | $0.108 | $0.054 | $5.40 | −$5.40 | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-3090&type=spot) | Versus the marketplaces: their spot is an auction — win it, and a higher bid can still evict you an hour later. Ours is a queue. ## Made for fault-tolerant work - **Checkpointed training** — resume from the last step; pay half for every step. - **Batch queues** — image generation, transcription, embedding jobs, render frames. - **Hyperparameter sweeps** — dozens of short runs, none of them precious. - **CI & evaluation** — nightly benchmark suites that just re-run if paused. If an interruption would hurt, use [on-demand](https://powergpu.ai/products/on-demand) — or mix: serve on-demand, train interruptible, one balance pays both. *train — interruptible* ``` $ powergpu launch --gpu a100-sxm4 --type interruptible \ --template axolotl --volume ckpts:50GB ✓ instance i-b3e19d02 running · $0.280/hr # 03:12 interrupted — checkpoint step 4200 on volume # 03:57 capacity free — auto-restarted, resumed 4200 ✓ run finished · 9.4 GPU-hrs · $2.63 ``` ## Interruptible GPUs: FAQ Checkpoint patterns live in the [instance docs](https://powergpu.ai/docs/instances). **How often do interruptions actually happen?** Only when an on-demand deploy needs your slot — there is no bidding war constantly re-pricing you out. Fleet-wide, interruptible instances run a median of many hours between interruptions; deep-supply consumer cards (RTX 30/40 series) are interrupted least. **What happens when my instance is interrupted?** It is stopped, not destroyed: the container/VM state on disk survives and GPU billing ends instantly. You get a console event and an optional webhook, and the instance auto-requeues for capacity unless you disable that. When capacity frees, it restarts from your disk. **Is the discount really a flat 50%?** Yes — interruptible = on-demand × 0.50 on every model, every region, all the time. It is not a fluctuating spot market: the price is as fixed as our on-demand price, just half of it. **How should I design a job for interruptible?** Checkpoint to the mounted volume (every N steps for training, per-item for batch queues), make startup idempotent, and let auto-requeue do the rest. The docs include ready patterns for PyTorch, axolotl and render farms. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/products/interruptible · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt