PowerGPU fact sheet: every claim, with its number

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.

From $0.024/hr for a RTX A2000 to $6.737/hr for a B300, per GPU-hour, billed per second. An H100 SXM is $1.428/hr on-demand, $0.714/hr interruptible and $0.928/hr reserved; an RTX 4090 is $0.327/hr on-demand. The only other charges are storage at $0.08/GB/month and bandwidth at $0.01/GB.

One published rule: the public GPU marketplace median for each model × 0.70, rounded down — so every on-demand price is at least 30% below the median. Interruptible is on-demand × 0.50 and reserved is on-demand × 0.65. Prices are re-checked weekly against the market; the snapshot date (2026-09-14) is printed on every page and returned by the public API.

On the same NVIDIA card, generally yes: the fixed rate sits at least 30% under the public marketplace median, which is itself below most specialist clouds and far below hyperscaler list prices. The comparison pages state each provider's public list price with the date it was read, and say so plainly when a provider is cheaper on a given card — for instance on some consumer GPUs.

80 NVIDIA models, from GTX and Tesla cards through RTX 3090, RTX 4090 and RTX 5090 to datacenter silicon: A100, L40S, RTX PRO 6000, H100 PCIe/NVL/SXM, H200, B200 and B300. Instances go from 1× to 8× GPUs on one machine, and the per-GPU price is identical at every size.

Per second, from the moment an instance starts to the moment it stops. There is no minimum spend, no setup fee, no per-request charge and no multi-GPU premium. Stopping an instance ends GPU billing that second; its disk keeps billing at $0.08/GB/month until the instance is destroyed. The price shown at deploy is locked for the life of that instance.

Cryptocurrency only. Seven assets are accepted: USDT (TRC-20 or ERC-20), Bitcoin, Monero, Litecoin, Ethereum, TRON and Solana. You top up a USD credit balance (minimum $40) and usage draws it down per second. There is no card payment, no bank transfer, no invoicing and no free trial credit. Unused credits never expire and are refundable in the original coin on request.

No. An account is an email address and a password. No identity documents, no card details, no phone number. IP addresses are not stored in logs or in the database, and the site carries no analytics or advertising trackers.

32 regions across five continents, in Tier-III (or equivalent) datacenters with redundant power, cooling and network. PowerGPU does not resell consumer machines or home hosts: every GPU is dedicated hardware in a vetted facility, burned in and benchmarked before it is offered.

99.9% monthly uptime on on-demand and reserved instances, with service credits when it is missed — the terms are in the published SLA. Live component and region health is on the status page, with a machine-readable version at https://powergpu.ai/status.json.

About 30 seconds for container templates, whose images are pre-cached on the hosts, and two to four minutes for full virtual machines that boot their own kernel. Restarting a stopped instance is faster and the disk is unchanged.

37 one-click templates built from official images cover the common stacks — PyTorch, vLLM, Ollama, ComfyUI, Stable Diffusion, Axolotl, Jupyter, CUDA, full Ubuntu desktops — and any other Docker/OCI image runs as-is with the NVIDIA runtime injected. Access is by SSH, JupyterLab, mapped ports, the REST API, the CLI or the Python SDK.

Yes, a REST API at https://powergpu.ai/v1. Pricing and machine search are public and need no key: GET /v1/gpus/pricing returns the whole price sheet as JSON, GET /v1/offers searches live inventory. Instance lifecycle and balance endpoints authenticate with a Bearer key created in the console. An OpenAPI 3.1 description is at https://powergpu.ai/openapi.json, and a read-only MCP server for AI agents at https://powergpu.ai/mcp.

A flat 50% discount on the on-demand price, with no auction and no bidding. An interruptible instance may be paused when capacity is needed; its disk is kept and it is automatically re-queued. It suits checkpointed training, batch inference and render queues. An H100 SXM costs $0.714/hr interruptible against $1.428/hr on-demand.

Cryptocurrency mining is banned, as are illegal content, attack infrastructure and sanctions evasion. Privacy tooling for your own traffic, security research within the published allowance and blockchain nodes (validation is not mining) are permitted. The full text is the acceptable use policy.

Teams and individuals who want a predictable GPU bill: independent researchers and students, ML teams running fine-tunes and inference endpoints, studios rendering on RTX hardware, and anyone who needs compute without a card, a contract or a sales call. Enterprise reserved fleets and multi-node clusters are handled through the enterprise page.