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Lambda

Rent NVIDIA GPU instances and clusters for AI training and inference

AI ResearchResearched, not tested
Pricing
paid
From
$0.69 a month
Free tier
No

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Best for

AI teams and researchers who need to rent NVIDIA GPU capacity by the hour for training, fine-tuning, or inference without owning hardware.

What it is

Lambda is a cloud provider that rents NVIDIA GPU capacity for AI workloads. It offers on-demand instances that start in minutes, 1-Click Clusters of 16 to 2,000+ B200 or H100 GPUs, and single-tenant Superclusters on GB300 NVL72 systems with Quantum-2 InfiniBand. It is aimed at AI teams training foundation models, fine-tuning, and serving inference at scale, from individual researchers to enterprises and government users.

Best forAI teams and researchers who need to rent NVIDIA GPU capacity by the hour for training, fine-tuning, or inference without owning hardware.

Features

  • On-demand GPU instances

    Self-serve access to NVIDIA B200, H100, A100, GH200, A6000, A10, V100, and Quadro RTX 6000 instances in 1x, 2x, 4x, and 8x configurations.

  • 1-Click Clusters

    Production-ready clusters of 16 to 2,000+ NVIDIA B200 or H100 GPUs, rented for 2 weeks to 1 year or longer.

  • Superclusters

    Single-tenant NVIDIA GB300 NVL72 clusters with NVIDIA Quantum-2 InfiniBand, priced through sales.

  • Single-tenant architecture

    Shared-nothing, caged clusters with hardware-level isolation for sensitive data.

  • SOC 2 Type II compliance

    Production-grade compliance certification stated on the site.

  • Managed orchestration

    Lambda manages clusters so teams can focus on workloads; Lambda Stack and orchestration tools are listed.

TL;DR

Lambda rents NVIDIA GPU instances and clusters by the hour for AI training and inference.

Pros

  • •On-demand instances are self-serve and start in minutes, with per-GPU-hour pricing listed for each GPU type.
  • •1-Click Clusters support 16 to 2,000+ B200 or H100 GPUs with published per-GPU-hour rates.
  • •Single-tenant, shared-nothing architecture with hardware-level isolation and SOC 2 Type II certification.
  • •Offers a range of GPU generations from Quadro RTX 6000 and V100 up to B200 and GB300 NVL72.

Cons

  • •No free tier or trial is listed; the cheapest on-demand instance is $0.69 per GPU per hour.
  • •Supercluster and reserved-capacity pricing is not published and requires contacting sales.
  • •Prices exclude sales tax, VAT, or GST, so the final cost is higher than the listed rate.

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