Lambda
San Francisco, US · Founded 2017 · Delaware corporation · 795 employees on LinkedIn · 34 known investors
Lambda provides GPU cloud infrastructure for AI training and inference, offering single-tenant clusters, on-demand instances, and managed AI supercomputers built on NVIDIA GPUs (GB300 NVL72, HGX B300/B200, H200/H100). It serves AI labs and enterprises running foundation model training and large-scale inference workloads.
Also known as Lambda Labs
Founders & leadership
Board
Investors · 34
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Also in the syndicate · 11
Funding
SEC filings, press & company announcements$89M disclosed across 2 of 8 rounds · 2020–2026
- Undisclosed amountSenior Secured LoanAug 2026Source ↗
- Undisclosed amountsecondary share purchaseAug 2026Source ↗
- Undisclosed amountSeries ENov 2025
TWG Global (lead), US Innovative Technology Fund (USIT)
Source ↗ - Undisclosed amountSeries DFeb 2025
Andra Capital (lead), SGW (lead), 1517, ARK Invest, Crescent Cove, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, USIT, Wistron, Wiwynn
Source ↗
▶$14.6MraisedFeb 2024 · 26 investors · OtherRule 506(b)
- Austen AllredExecutive Officer, Director, Promoter
- Ximena FloresExecutive Officer
- John DannerDirector
- Stephen OskouiDirector
- Elias TorresDirector
- Offering amount
- $23.6M
- Amount sold
- $14.6M
- First sale
- Feb 2024
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
▶$74.4MraisedAug 2020 · 16 investors · OtherRule 506(b)
- Benhamin NelsonExecutive Officer
- Austen AllredExecutive Officer, Director
- Jessica VerrilliDirector
- John DannerDirector
- Offering amount
- $74.4M
- Amount sold
- $74.4M
- First sale
- Aug 2020
- Incorporated
- Corporation, Delaware, 2017
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Lambda operates a GPU cloud platform positioned as infrastructure for large-scale AI training and inference. Its offering spans three tiers: Superclusters built on single-tenant NVIDIA GB300 NVL72 systems interconnected with NVIDIA Quantum-2 InfiniBand; 1-Click Clusters, described as production-ready NVIDIA HGX B200 and H100 clusters configured for distributed workloads; and on-demand Instances on HGX B200 and H100 hardware intended for testing and prototyping. The company describes these as complete "AI factories" that integrate high-density power, liquid cooling, and NVIDIA GPUs into a single system, scaling from a single GPU to hundreds of thousands.
Alongside raw capacity, Lambda offers managed cluster operations and co-engineering support, with the stated aim of letting customers run large-scale AI workloads without carrying the operational burden themselves. Its published GPU roadmap includes NVIDIA Vera Rubin NVL72 rack-scale systems for agentic AI, GB300 NVL72 for reasoning workloads, HGX B300 for large training runs, and HGX B200 for fine-tuning and inference.
Business model
Lambda sells access to GPU compute capacity, ranging from on-demand instances launched via self-service sign-up to dedicated multi-node clusters and single-tenant superclusters, with managed orchestration and engineering support included in its cluster offerings.
▸Full profile — market position, technology, go-to-market
Market position
Lambda markets itself as "The Superintelligence Cloud" and states that it builds infrastructure for the largest AI labs and the teams behind advanced AI models.
Lambda emphasizes single-tenant dedicated infrastructure rather than shared capacity, rapid cluster deployment (1-Click Clusters), access to current-generation NVIDIA rack-scale systems, included orchestration and co-engineering from its infrastructure team, and SOC 2 Type II certification with hardware-level isolation options.
Technology
The platform is built on NVIDIA accelerators, including Vera Rubin NVL72 and GB300 NVL72 rack-scale systems, HGX B300, HGX B200, H200 and H100 GPUs, with NVIDIA Quantum-2 InfiniBand networking. Data-center design incorporates high-density power and liquid cooling. Isolation is provided through a single-tenant, shared-nothing architecture and caged clusters with hardware-level isolation.
Go-to-market
Two parallel motions: self-service sign-up to launch GPU instances, and a sales-led "talk to our team" path for clusters, superclusters, and managed deployments.
AI labs, enterprises, and teams training foundation models or serving large-scale inference, including customers requiring dedicated single-tenant infrastructure and compliance guarantees.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 4
by search overlap
Companies competing with Lambda for the same Google search keywords, organic and paid, via search-intersection analysis.
Legal entities · 1
corporate structureIn the news
Lambda Raises $917M Backed by Nvidia GPUsbriefs.co · Aug 2026▸Research sources · 1
primary sources listed
- Lambdalambdalabs.com · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Lambda do?
- Lambda is a GPU cloud provider offering NVIDIA-based supercomputers, clusters, and instances for AI training and inference.
- Who are Lambda's investors?
- Lambda's investors include Air Street Capital, Alpha Square Group, Alumni Ventures, B Capital Group, B4 Capital, Basecamp Fund, CRESCENT COVE CAPITAL, Gradient Ventures and 15 more.
- How much funding has Lambda raised?
- Lambda has disclosed $89M raised across 2 of its 8 known rounds.
- Where is Lambda headquartered?
- Lambda is headquartered in San Francisco, US.