Lambda

Lambda provides cloud GPUs, on-demand clusters, and private cloud solutions for AI training and inference. It supports high-performance NVIDIA GPUs like B200 and H100 for scalable AI development.

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At a glance

Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is Lambda?

Lambda, also known as The Superintelligence Cloud, offers specialized infrastructure for AI development, including cloud GPUs, on-demand clusters, and private cloud options. It enables users to run advanced NVIDIA GPUs such as B200 and H100, facilitating rapid deployment and cost-effective scaling for AI training and inference. The platform emphasizes secure, single-tenant architecture with SOC 2 Type II compliance, catering to enterprise and mission-critical AI workloads. Lambda provides supercomputers that scale with ambition, from individual GPU instances to large Superclusters, and offers expert support to co-engineer AI workloads.

Best used for

Ideal for developers and researchers who need to train foundation models, deploy AI inference at scale, and manage high-performance GPU clusters. Especially valuable for organizations requiring secure, compliant, and scalable AI infrastructure with expert support.

Common actions

train AI models

deploy AI inference

scale AI infrastructure

manage GPU clusters

"AI Agents"

Capabilities

Key features

Cloud GPUs
On-demand clusters
Private cloud
NVIDIA B200/H100 GPUs
SOC 2 Type II compliant
Rack-scale systems

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check lambdalabs.com for current pricing.

FAQs

What types of NVIDIA GPUs does Lambda offer?

Lambda offers a range of high-performance NVIDIA GPUs including the B200, H100, HGX B300, and rack-scale systems like NVIDIA VR200 NVL72 and GB300 NVL72. These are optimized for various AI workloads from training to inference.

How does Lambda ensure data security and compliance?

Lambda provides a secure-by-design infrastructure with a single-tenant, shared-nothing architecture. It is SOC 2 Type II certified, ensuring production-grade compliance and hardware-level isolation for sensitive data and mission-critical AI applications.

Can Lambda scale with growing AI demands?

Yes, Lambda is designed for scalability, offering solutions from individual GPU instances for prototyping to Superclusters and 1-Click Clusters™ for large-scale distributed AI workloads. This allows users to expand their computational resources as their AI projects evolve.

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AI Agents & Automation › AI Frameworks & Infra

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