Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.
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Industries
Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$9.1B
Headquarters
San Jose, CA
Founded
2012
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Total Funding
$9.1B
Above
Industry Average
Funded Over
12 Rounds
Neoclouds, specialist providers that rent out GPU capacity for AI training and inference, have gone from unknown startups to listed companies with contracts worth billions of dollars. CoreWeave, Nebius and IREN lead the listed group; Lambda, Crusoe and Fluidstack remain private. Their shares fell hard in October 2026. CoreWeave dropped 29%, leaving it valued at about $34 billion against a 2025 peak of about $90 billion; Nebius fell 27% and IREN 32%. CoreWeave's unsecured debt yielded about 15%. On October 14, 2026, Gartner predicted that more than 80% of neocloud providers will stop operating independently by 2030. It also warned that more than $3.5 trillion of AI infrastructure spending could face impairment. Demand remains strong. CoreWeave co-founder Brannin McBee said nearly all of its 2027 capacity is sold.
The Nvidia-backed company is targeting an IPO in 2027.
Anthropic has signed a $35 billion cloud-computing agreement with Nvidia-backed Lambda, the Wall Street Journal reported. The deal gives Anthropic access to computing capacity from a Texas data centre being developed by Hut 8, a Bitcoin miner turned data centre operator. Nvidia secured capacity at the facility, whilst Lambda will deploy Nvidia chips and provide computing resources to Anthropic. The arrangement's financial terms remain unclear. Anthropic's annualised revenue run rate reportedly reached $65 billion by end-July. The structure highlights Nvidia's expanding role beyond selling AI chips. Anthropic previously agreed to spend $45 billion over six years with another Nvidia-backed provider, Nscale. In April, Amazon announced Anthropic plans to spend over $100 billion on AWS technology over the next decade.
Lambda has closed a $926 million senior secured term loan B facility to fund GPU infrastructure for an investment-grade customer. The facility, priced at SOFR + 3.00% and issued at 99.5% of principal, received a Baa2 rating from Moody's. This marks Lambda's first large-scale private cloud GPU asset-backed financing and the first broadly syndicated, investment-grade-rated term loan B by a private neocloud. The facility matures on 31 December 2030 and is secured by the GPU servers and related infrastructure it funds. The closing follows Lambda's $1 billion senior secured credit facility announced in May 2026. Morgan Stanley acted as lead left arranger, bookrunner, and administrative agent, with MUFG serving as joint bookrunner.
Nvidia-backed Lambda is in talks for up to $3bn in pre-IPO financing at a valuation of $12bn or more, ahead of a listing next year.
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Industries
Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$9.1B
Headquarters
San Jose, CA
Founded
2012
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs