An established, well-run GPU cloud with clear per-minute billing, no ingress/egress fees and a live status page, but it is fiat-only and non-refundable, frequently short on the cheapest GPUs, and its Inference API is being wound down.
by the bestcloudmining editorial desk · review version 2 · prose updated 2026-09-24 · facts as of 2026-09-24 · how we verify
Lambda (Lambda Labs) is a US-based GPU cloud provider for AI and compute workloads, offering on-demand H100, B200, and A100 instances with per-minute billing and no data transfer fees. It’s suited for developers and enterprises needing reliable, high-end GPUs, but availability of cheaper models is often limited, and refunds are only issued as non-cash service credits.
You can rent GPU instances including B200 SXM6, H100 SXM/PCIe, A100 80GB/40GB, GH200, and older models like A6000 and V100. Offerings include on-demand, reserved, and 1-Click Clusters (pre-configured multi-GPU setups). Access is via SSH, Jupyter, or API. You rent virtualized GPU compute time - you do not own hardware, tokens, or mining rights, and no crypto mining is supported.
Contract terms include on-demand, reserved, and 1-Click Clusters, but no fixed contract_term_days for on-demand use. Maintenance fees are not applicable. Payouts do not apply - this is not a mining service. Refunds are only issued as service credits toward future usage, which expire after 12 months. Minimum purchase is $0, but no trial credits are mentioned. Billing is per minute.
There is no verifiable compute proof such as TEE or hardware attestation. The service provides standard NVIDIA GPU virtual machines without cryptographic verification of execution. Claims of uptime and performance rely on operator transparency - though the status.lambda.ai page shows real-time system health, independent proof of compute integrity is not offered.
Lambda has operated since 2012 with a solid reputation in the AI community. No fraud or exit scams are documented. Reddit discussions confirm frequent stock shortages, especially for A100s, but no billing issues. The company is incorporated in Delaware with a physical California address, and its Terms of Service are publicly available. External sources confirm ongoing operations as of 2026.
Pricing starts at $0.69 per GPU/hour for the Quadro RTX 6000, rising to $6.99 for a single B200 SXM6. Cluster pricing drops per-GPU cost at scale (e.g., $8.87/GPU/hr for 256+ B200s). Billed per minute, with filesystems at $0.20/GiB/month. Payment is fiat-only (credit card/invoice), no crypto. KYC requirements are not self-serve documented but may apply for enterprise sales.
Lambda is a trustworthy, long-standing GPU cloud ideal for AI workloads with transparent per-minute billing and strong infrastructure. However, frequent GPU shortages and non-refundable fees mean you should start small. Not for crypto mining - consider alternatives like RunPod or Vast if availability and flexibility are critical.
| Documented price | $0.690 per GPU/hr |
|---|---|
| Notes | Official pricing page observed 2026-09-24. Cheapest on-demand instance is Quadro RTX 6000 at $0.69/GPU/hr. Single-GPU and small-count instances: A6000 $1.09, A100 40GB $1.99, GH200 $2.29, A100 SXM 80GB $2.79, H100 PCIe $3.29, H100 SXM $3.99 (8x; $4.09 at 4x, $4.19 at 2x, $4.29 at 1x), B200 SXM6 $6.69 (8x; rises to $6.99 at 1x). 1-Click Clusters per GPU/hr: NVIDIA HGX B200 $9.86 (16 GPUs), $9.36 (64), $8.87 (256+); NVIDIA H100 $6.16 (16), $5.85 (64), $5.54 (256). Prices exclude sales tax/VAT/GST. Filesystems billed per GiB/month in one-hour increments; the docs use a $0.20/GiB/month example and state there is no ingress or egress charge. |
Run the long math before paying: cloud mining calculator →
Ready to try Lambda (Lambda Labs)? 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: Lambda (Lambda Labs) scores 7.3/10 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 remote access to a virtualized GPU instance via SSH or Jupyter. You do not own hardware or tokens - just time on a machine running your code.
You pay per GPU/hour, starting at $0.69, billed per minute. No maintenance fees or egress charges, but no refunds - only service credits for future use.
No minimum spend, but no free trial is advertised. You can spin up a $0.69/hr instance to test.
There are no payouts - this is not a mining service. You use the compute directly for AI or training workloads.
Your instances terminate and access is lost. No refunds in cash - only service credits, which expire in 12 months.
You avoid upfront hardware costs and maintenance, but pay a premium over time. Unlike owning hardware or coins, you have no asset to sell - only immediate compute access.
Developer GPU cloud with published per-second rates across Community and Secure Cloud, plus serverless endpoints and clusters.
Centralized GPU cloud built on the company's own GPU-virtualisation layer: cheap per-minute A100/L40/H100/A6000 instances; no crypto, no token.
Open permissionless marketplace for containerised GPU/CPU compute; providers bid, tenants pay per block.
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