Lambda
Provision GPU instances or 1-Click clusters with chosen NVIDIA hardware (H100/B200/GB300 families), run training or inference, and pay per-GPU hourly rates listed on the pricing pages. Lambda supports single-tenant managed clusters, reserved capacity via sales, and provides instance specs for sizing large-model compute.
The pricing page lists per-GPU hourly rates for Instances and duration-based GPU/hour rates for 1-Click Clusters (examples shown for 2 weeks–1 year and 1 year+ commitments). The site also instructs to contact sales for reserved capacity and lowest prices.Is Lambda right for you?
Good for
- Teams needing single-tenant NVIDIA GPU hardware and managed clusters for large-scale model training and inference using documented per-GPU hourly pricing.
- Documents single-tenant, shared-nothing architecture and hardware-level isolation suitable for sensitive workloads.
- Publishes per-GPU hourly pricing and detailed instance specs (VRAM, vCPUs, RAM, storage) for self-serve instances.
Keep in mind
- Reserved capacity and lowest prices require contacting sales rather than a self-serve checkout.
- Buyers who expect published self-serve monthly subscription packages with bundled support tiers and reserved long-term pricing without engaging sales; confirm reserved-capacity terms first.
Pricing and plan limits
The linked official pages list specific price/GPU/hr values and duration ranges for clusters and instances; reserved-capacity pricing and long-term discounts require contacting Lambda per the site.
More about capabilities and limits
Documented strengths
Documents single-tenant, shared-nothing architecture and hardware-level isolation suitable for sensitive workloads.
Publishes per-GPU hourly pricing and detailed instance specs (VRAM, vCPUs, RAM, storage) for self-serve instances.
States SOC 2 Type II certification for production-grade compliance.
Limitations to consider
Reserved capacity and lowest prices require contacting sales rather than a self-serve checkout.
Choosing a plan
Match your GPU-hour forecast to the published per-GPU/hour instance and cluster rates, then contact Lambda to confirm reserved-capacity pricing, SLAs, and support levels for production commitments.
Based on the linked product documentation.
Available on
Web.
Official sources
Alternatives to Lambda
Choose around the work you need to do.
Runpod
Use Runpod for fast access to many GPU SKUs via dedicated Pods, serverless autoscaling inference endpoints, multi-node clusters, persistent storage, and a public model endpoint marketplace with per-hour pricing.
