Full-Time
Cloud-based GPU services for AI training
$314k - $407k/yr
San Francisco, CA, USA + 1 more
More locations: Bellevue, WA, USA
Hybrid
Four days in the Bellevue or San Francisco office are required each week; Tuesday is the designated work-from-home day.
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Lambda Labs provides cloud-based GPU services for AI training and inference. Its AI Developer Cloud runs on NVIDIA GH200 Grace Hopper hardware to train large language models and generative AI, offering on-demand and reserved GPUs billed by the hour (for example, $1.99/hour for H100). It differentiates itself through competitive pricing, high availability, and an integrated ML stack with Lambda Stack for easy installation of PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers, plus Lambda Echelon for owning infrastructure with hosting and support. Its goal is to make scalable AI development and deployment affordable by providing flexible GPU access, reliable hosting, and streamlined software deployment for teams working with large models.
Company Size
501-1,000
Company Stage
Debt Financing
Total Funding
$4.1B
Headquarters
San Jose, California
Founded
2012
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Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Wellness Program
Commuter Benefits
Nvidia is arranging over $500 billion in AI infrastructure credit alongside Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR, raising concerns about circular financing. The chipmaker may secure up to $125 billion of the total itself. A recent $917 million credit facility with Lambda demonstrates how the system works: customers lacking liquidity can access capital arranged through the consortium to purchase Nvidia hardware. CEO Jensen Huang aims to transform the company's graphics chips into an "investable asset class". Critics warn of an "Ouroboros dilemma" — when manufacturers arrange loans for customers to buy their own products, creating a closed loop vulnerable to collapse if actual AI service demand lags infrastructure buildout. Nvidia shares closed at €188.50 on Monday, down 2.67%. The company reports second-quarter fiscal 2027 earnings on 26 August.
Lambda, an AI cloud infrastructure company, has closed a $1 billion syndicated senior secured credit facility arranged by J.P. Morgan. This represents a nearly fourfold increase from the $275 million facility Lambda established in August 2025. The capital will fund deployment of next-generation Nvidia AI accelerator servers and data centre expansion. Lambda previously secured a $500 million loan in 2024 collateralised by Nvidia chips. The company raised $480 million in a Series D funding round in February 2025. Lambda has also established a multibillion-dollar commercial partnership with Microsoft focused on building AI infrastructure. Founded in 2012, Lambda now serves tens of thousands of customers with GPU clusters built for AI training and inference workloads.
Lambda, an AI cloud infrastructure provider, has completed a secondary share purchase of approximately $6.5 million. Aegis Capital Corp. served as the placement agent for the transaction, which involved the sale of existing shares. The transaction provides liquidity for early investors and employees whilst potentially attracting new institutional investors. Founded in 2012 by machine learning engineers, Lambda operates as "The Superintelligence Cloud" and serves tens of thousands of customers, including AI researchers, enterprises, and hyperscalers. Lambda specialises in delivering high-performance supercomputers for AI training and inference. The company's mission is to make compute as accessible as electricity and provide superintelligence capabilities to everyone. The move comes as AI adoption accelerates across industries and demand for computational power continues to surge.
Lambda, an AI cloud infrastructure provider, has closed a $1 billion senior secured credit facility, nearly quadrupling its original $275 million facility established in August 2025. J.P. Morgan led the oversubscribed arrangement. The multi-tranche facility will fund expansion of Lambda's next-generation NVIDIA AI accelerator servers and data centre capacity. The company operates gigawatt-scale AI factories serving researchers, enterprises and hyperscalers. Founded in 2012, Lambda describes itself as "The Superintelligence Cloud" and serves tens of thousands of customers. CFO Charles Fisher said the financing addresses "unprecedented demand" from AI customers whilst lowering the company's blended cost of capital. Davis Polk & Wardwell represented Lambda, whilst Willkie Farr & Gallagher advised the lenders on the transaction.
Lambda, an AI cloud infrastructure provider, has appointed Michel Combes as CEO and John Donovan as Chairman of the Board, effective May 2026. Co-founder Stephen Balaban will become CTO, whilst co-founder Michael Balaban takes on the Chief Product Officer role. The leadership restructuring follows Lambda's $1.5 billion Series E funding in November 2025. The company has also recently appointed Jerry Hunter as Vice Chairman of Compute Delivery, Charles Fisher as CFO, and David Connolly as CLO. Combes previously served as CEO of Brightspeed, Softbank International, Sprint and Alcatel-Lucent. Donovan held senior positions at AT&T, including CEO of AT&T Communications. The expanded leadership team aims to help Lambda reach 3GW of AI compute under management by 2030, serving frontier labs, enterprises and hyperscalers.