The most transparent and cheapest raw-GPU marketplace of the six, run by a real Delaware/California company with no token, but host reliability is genuinely variable (documented mid-job restarts) and storage/bandwidth charges are easy to underestimate.
by the bestcloudmining editorial desk · review version 2 · prose updated 2026-09-24 · facts as of 2026-09-24 · how we verify
Vast.ai is a US-based GPU marketplace offering on-demand, interruptible, and reserved compute with per-second billing. It caters to developers and researchers needing raw GPU power for AI, rendering, or compute tasks. You rent access, not hardware ownership. A key caveat: host reliability varies, and mid-job interruptions are documented.
You can rent GPU compute time across models like H100, H200, RTX 5090, RTX 4090, RTX 3090, and Tesla V100 through a decentralized host network. Access is via SSH, Docker, Jupyter, CLI, or API. You get temporary compute access, not ownership of hardware or tokens. Contracts are flexible or fixed-term, with no minimum spend. Storage and bandwidth are billed continuously, even when instances are stopped.
Contracts have no fixed term (term_days: 0), with flexible and fixed-term options available. There is no maintenance fee, but storage and egress costs apply continuously. Payouts aren’t applicable - this is compute rental, not mining. Unspent credits bought with a card are refundable; crypto-purchased credits are not. Minimum purchase is $0, but specific instance types may require higher upfront credit.
Vast.ai provides partial proof through per-host reliability scores and a verified vs. community host distinction. However, there is no cryptographic proof-of-compute or hardware TEE to independently verify execution. The reliability score is based on host history, but you must trust the platform’s reporting - no on-chain or cryptographic attestation exists.
Vast.ai is operated by Vast.ai Inc., a Delaware C Corp founded in 2016, with a Los Angeles HQ since 2024. It’s widely used in AI communities like r/LocalLLaMA and has transparent operator details. However, Reddit reports document mid-job restarts and price volatility, especially for newer GPUs like the RTX 5090. Host reliability is variable, and egress fees can add up quickly.
Pricing starts at $0.088 per GPU/hour for an RTX 3090, with H100 SXM at $1.467/hr and H200 at $2.633/hr (as of 2026-09-24). Rates are host-set, fluctuate in real time, and are paginated across the API. You can pay via credit card (Stripe) or BTC (BitPay/Crypto.com), with no KYC. Crypto purchases are non-refundable; card credits are.
Vast.ai is a legitimate, transparent GPU marketplace with competitive pricing and no token. It’s ideal for users who need flexible, short-term GPU access and can tolerate some host instability. For mission-critical or long-running jobs, test with small instances first due to documented interruptions.
| Documented price | $0.088 per GPU/hr · $1.47 per GPU/hr (H100 SXM min) |
|---|---|
| Notes | Host-set marketplace, observed 2026-09-24 from the public bundles API (page 1, 64 offers), per-GPU-hour: RTX 3090 $0.088-0.121, RTX 5090 $0.078-0.601, RTX 4090 $0.121-0.378, H100 SXM $1.467-1.469, H100 NVL $1.976-2.269, H200 $2.633, Tesla V100 $0.027-0.042. Rates move constantly and the API endpoint paginates. |
Run the long math before paying: cloud mining calculator →
Ready to try Vast.ai? Start small, verify one payout, and only scale up once the hashrate or compute actually matches what you paid for.
Based on our checks as of 2026-09-24: Vast.ai scores 6.9/10 in our weighted review. We logged no red flags. User reports and operator background are documented with dated sources in the meta-review below.
You get temporary access to a GPU instance hosted by third parties, with no hardware ownership. Access is via SSH, Docker, or API, and you’re billed per second for compute, storage, and bandwidth.
You pay per GPU-hour, with additional continuous charges for storage and bandwidth. There’s no maintenance fee, but egress and storage costs can accumulate even when the instance is stopped.
There’s no minimum spend - starting at $0 - but launching an instance requires sufficient credit. You can test low-cost GPUs like the RTX 3090 to evaluate performance before scaling.
Payouts don’t apply - this isn’t mining. Instead, you pre-pay in credits and consume them as you use compute. Unspent card credits can be refunded; crypto credits cannot.
If the platform goes offline, your instances and data are lost unless backed up externally. Since you don’t own hardware, there’s no recovery path - assume all work is ephemeral.
Renting avoids upfront hardware costs and maintenance but can exceed ownership costs over time. For mining, direct coin purchase is often cheaper than cloud compute unless you have specialized use cases.
Singapore-run GPU aggregator reselling capacity from 5+ neoclouds; H100 from $2.64/hr on-demand, per-minute billing.
Open permissionless marketplace for containerised GPU/CPU compute; providers bid, tenants pay per block.
Hybrid cloud+edge GPU marketplace with cheap consumer-GPU rates (RTX 3090 $0.14/hr, A100 $1.99/hr) and TFUEL-linked node rewards; cloud-launched in 2024. Facing an LA lawsuit alleging fraud/token manipulation.
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