Directory/Automation/AI Infrastructure/Lambda
Lambda

Lambda

Lambda is a cloud infrastructure provider specializing in high-performance computing for AI development, offering access to NVIDIA's most advanced GPUs (Vera Rubin, GB300, B200, H100, A100) through scalable instances, 1-Click Clusters™, and managed superclusters. It provides complete AI factories with liquid cooling and high-density power, designed for training foundation models and serving billions of tokens on single-tenant, secure infrastructure. Targeted at AI researchers, ML engineers, startups, and enterprise teams building large-scale models, Lambda emphasizes operational speed, security (SOC 2 Type II), and expert support. The platform eliminates infrastructure management burdens, allowing users to focus on model development while Lambda handles orchestration, scaling, and hardware maintenance.

Automation
Visit website
Added on
Sep 22, 2026
GPU CloudOn-Demand Instances1-Click ClustersSuperclustersNVIDIA B200/H100/A100Managed KubernetesManaged SlurmSOC 2 Certified
Product information

Everything worth knowing about Lambda

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

On-Demand GPU Instances
Spin up single NVIDIA B200, H100, A100, GH200, or other GPU instances in minutes with self-serve, first-come access for testing and prototyping.
1-Click Clusters™
Deploy production-ready, optimized NVIDIA HGX B200 or H100 GPU clusters from 16 to 2,000+ GPUs for distributed AI workloads.
Superclusters
Run large-scale workloads on dedicated, single-tenant NVIDIA GB300 NVL72 clusters with NVIDIA Quantum-2 InfiniBand for maximum performance and security.
Security & Compliance
Operate on a secure-by-design, single-tenant, shared-nothing architecture with SOC 2 Type II certification and hardware-level isolation.
Managed Infrastructure & Orchestration
Offload cluster operations with managed services, including Kubernetes and Slurm orchestration, and co-engineering support from Lambda's infrastructure team.
Technical capabilities
Full AI Factory Stack
Access complete AI factories integrating high-density power, liquid cooling, and the latest NVIDIA GPUs (including Vera Rubin NVL72) in a single optimized system.
Flexible GPU Tiers & Configurations
Choose from a wide range of instance configurations with varying GPU counts, vCPUs, RAM, and storage to match specific workload requirements.
Must watch videos
How SPREEAI doubled GPU utilization with Lambda
5:36
Tutorial5:36
How SPREEAI doubled GPU utilization with Lambda
SPREEAI trains the diffusion model behind photorealistic virtual try-on. One pass solves pose, cloth physics, identity and texture, and it runs at the limit of H100 memory. Before the rebuild: 96 GPUs reserved, utilization around 20%, storage at 2.7 PB. Working with Lambda's ML engineering team, they restructured orchestration and data sharding and pushed utilization to 43%. In their words: "Our goal is not more GPUs. It's more efficiency on these GPUs." Read the full case study: https://lambda.ai/blog/how-spreeai-trains-the-model-behind-photorealistic-virtual-try-on Lambda 1-Click Clusters: https://lambda.ai/1-click-clusters Follow Lambda: X (Twitter): https://x.com/LambdaAPI LinkedIn: https://www.linkedin.com/company/lambda-cloud/ Facebook: https://www.facebook.com/lambdaai Reddit: https://www.reddit.com/user/LambdaAPI/
Lambda at CVPR 2026, Denver
1:28
Tutorial1:28
Lambda at CVPR 2026, Denver
Lambda at CVPR 2026, Denver. Two accepted papers, two workshops, a live Kodiak autonomous truck demo, and conversations about the compute wall facing AI research. Read the full recap: https://lambda.ai/blog/lambda-at-cvpr-2026?utm_source=youtube&utm_medium=organic-social&utm_campaign=2026-05-cvpr&utm_content=description
What interning at Lambda is really like
1:01
Tutorial1:01
What interning at Lambda is really like
Jason came to Lambda with doubts and knowledge gaps. He found a team that answered every question and made the work a joy. In this video, he talks about what it's actually like to intern at Lambda, and why having researchers who use the infrastructure every day makes the research better. Lambda is hiring interns: https://lambda.ai/careers Learn more about Lambda: https://lambda.ai

Who uses it

Real use cases, no hype
Foundation Model Training
Train large-scale AI models on dedicated, high-performance GPU clusters.
Massive Inference Serving
Serve billions of tokens for production-grade AI applications.
Research Prototyping
Quickly spin up single-node instances for testing and experimentation.
Enterprise & Government AI
Secure, compliant infrastructure for sensitive data and mission-critical workloads.
Distributed AI Workloads
Run optimized multi-node training with InfiniBand networking.
AI Orchestration & Management
Use managed Kubernetes or Slurm clusters without operational burden.
What's great
  • Self-serve instances spin up in minutes.
  • Latest NVIDIA GPUs (B200, H100, H200) available.
  • No long-term commitments for on-demand use.
Technical strengths
  • High-density, liquid-cooled AI factories.
  • Single-tenant, shared-nothing architecture for security.
  • Managed orchestration with Kubernetes and Slurm.
  • SOC 2 Type II certified compliance.
Where it falls short
  • Premium pricing for cutting-edge GPUs (e.g., B200 at $6.69/GPU/hr).
  • Reserved capacity requires sales contact for best pricing.
  • No pay-as-you-go for larger clusters (16+ GPUs).
Technical limitations
  • Limited to specific NVIDIA GPU generations and models.
  • Public cloud instances have pre-defined vCPU/RAM ratios.
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
Lambda offers the latest NVIDIA GPUs, including the H100, H200, B200, and the Vera Rubin NVL72 for rack-scale systems.

Traffic Insights

Monthly Visits

—

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

On-Demand Instance
Most picked
$0.79/mo

Startups & Researchers

  • Per-GPU hourly rate for NVIDIA Tesla V100 (16GB)
  • includes vCPUs
  • RAM
  • and SSD storage.
1-Click Cluster (H100)
$6.16/mo

Teams

  • Per-GPU hourly rate for a 16-GPU NVIDIA H100 cluster
  • for 2 weeks to 1 year duration.
View Full Plans & Pricing on Lambda

Official pricing, checkout, and plan upgrades are handled directly on lambda.ai.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
Not reviewed yet
C
Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
COMMUNITY COMMENTS

Leave a Comment

Help others make informed decisions. Your honest feedback shapes the community's understanding of this tool.

Tips for commenting

  • •Be specific about features you used
  • •Share real use cases and results
  • •Mention both pros and cons
  • •Keep it honest and constructive
to leave a comment

Your comment is published immediately.

Filter by rating:
Sort by:

No comments yet

Be the first to share your experience with this tool.

Alternatives

Not quite the right fit?

Here's what else is out there.

Boston Dynamics Orbit
—
Paid

Boston Dynamics Orbit

Automation

Enterprise software for managing and analyzing data from your robot fleet.

View
TextCortex
—
Freemium

TextCortex

Automation

The Enterprise Agent Infrastructure That Delivers ROI

#NoCode#LLM
View
Cursor
—
Freemium

Cursor

Automation

Your AI-powered coding agent for building ambitious software. Delegate tasks, accelerate development, and ship faster.

#AI#Coding
View
Darktrace
—
Paid

Darktrace

Automation

AI-powered cybersecurity that autonomously defends your entire digital estate from novel threats.

View
Taskade Genesis
—
Freemium

Taskade Genesis

Automation

Turn one prompt into a live, full-stack business app with AI agents and automations.

#NoCode#AI
View