Scaling AI means rethinking the backbone of infrastructure, from power and networking to data center capacity. Lambda’s AI factories are engineered for speed, density, and cooling to maximize intelligence per watt. Join Rebecca Naughton at IgniteGTM alongside industry leaders to discuss what’s powering the next wave of AI infrastructure. Learn more → https://lnkd.in/dfNJtQmk
Lambda
Software Development
San Francisco, California 38,757 followers
The Superintelligence Cloud
About us
The Superintelligence Cloud | Gigawatt-scale AI Factories for Training & Inference
- Website
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http://lambda.ai/linkedin
External link for Lambda
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Deep Learning, Machine Learning, Artificial Intelligence, LLMs, Generative AI, Foundation Models, GPUs, Distributed Training, Superintelligence, AI Infrastructure, and AI Factories
Locations
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Primary
Get directions
45 Fremont St
San Francisco, California 94105, US
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Get directions
2510 Zanker Rd
San Jose, California 95131, US
Employees at Lambda
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Peter Bordes
CEO Collective Audience, Founder, Board Member, Investor, managing partner Trajectory Ventures & Trajectory Capital
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Ofer SHOSHAN
Entrepreneur, Tech. investor
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Vinay Seth
Digital Transformation | Management Consulting | Supply Chain & Operations | Technology Advisory | Complex Program Management
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Craig Roche
Updates
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Scaling AI from prototyping to production can be hard: distributed jobs, reliability, cost. Ray makes it practical. Lambda makes it run. Read more → https://lnkd.in/dguF_w-f Meet us at Anyscale's Ray Summit, booth S2.
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Lambda announces a multibillion-dollar, multi-year agreement with Microsoft to deploy mission-critical AI infrastructure. Press release: https://bit.ly/4i02CL7 https://lnkd.in/gAgM8w8Z
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That’s a wrap on #NVIDIAGTC Thanks to everyone who stopped by our booth to talk about the future of AI compute. Missed us? See how we’re building supercomputers for superintelligence → https://lnkd.in/dVyXY7Ug
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How do you build AI factories for Superintelligence? Lambda’s Ken Patchett joins industry leaders on stage at #NVIDIAGTC to discuss the future of large-scale AI infrastructure. Learn more → https://lnkd.in/d_Dr_FiR
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The future of AI is powered by supercomputers built for Superintelligence. Visit Lambda at #NVIDIAGTC to see how we’re delivering gigawatt-scale infrastructure for AI training and inference — from bare metal to fully managed compute stacks. Stop by our booth #603 to learn more.
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Lambda is planning to build an AI factory in Kansas City, MO. Announced at #NVIDIAGTC, the project features NVIDIA GB300 NVL72 systems deployed by early 2026, with capacity to scale beyond 100MW. https://lnkd.in/gJKU_gvG
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System check: all good. Lambda AI Factories are now built on NVIDIA GB300 NVL72, the foundation for superintelligence: https://lnkd.in/ebTbMaZz
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Lambda welcomes Stacey Finerman as our VP, Investor Relations. Stacey brings over a decade of financial communications experience. She’ll help guide Lambda’s next stage of growth as a leader in AI infrastructure. https://lnkd.in/gsch5uNa
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Train faster, spend smarter. At PyTorch 2025, Lambda shares how we scale distributed training with PyTorch-native tools and dedicated GPU clusters. Lightning talk → https://lnkd.in/dBWJZn8h
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