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Founded Year

2012

Stage

Line of Credit | Alive

Total Raised

$393.15M

Valuation

$0000 

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+59 points in the past 30 days

About Lambda

Lambda is a company focused on providing computation solutions in the technology sector. The company offers a range of products, including GPU clouds, clusters, servers, and workstations designed to accelerate deep learning and AI processes. Lambda primarily serves sectors such as research, defense, and entertainment. It was founded in 2012 and is based in San Jose, California.

Headquarters Location

2510 Zanker Road

San Jose, California, 95131,

United States

866-711-2025

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Lambda's Product Videos

ESPs containing Lambda

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Semiconductors & HPC

The AI training processors market is rapidly advancing, focusing on high-performance hardware optimized for deep learning models in the high-performance computing, artificial intelligence, and graphics processing sectors. This market includes specialized graphics processing units, other types of chip architecture for applications such as AI and high-performance computing, and solutions for autonom…

Lambda named as Outperformer among 10 other companies, including NVIDIA, Advanced Micro Devices, and IBM.

Lambda's Products & Differentiators

    GPU Cloud

    Dedicated GPU instances combined with a full suite of ML softwares and tooling that 'just work'.

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Research containing Lambda

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Lambda in 1 CB Insights research brief, most recently on Sep 13, 2024.

Expert Collections containing Lambda

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Lambda is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,244 items

A

Artificial Intelligence

14,769 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

S

Semiconductors, Chips, and Advanced Electronics

7,161 items

Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more

Lambda Patents

Lambda has filed 5 patents.

The 3 most popular patent topics include:

  • communication circuits
  • radio electronics
  • analog circuits
patents chart

Application Date

Grant Date

Title

Related Topics

Status

5/7/2024

9/10/2024

Oscillators, Laser science, Spectroscopy, Communication circuits, Telecommunication theory

Grant

Application Date

5/7/2024

Grant Date

9/10/2024

Title

Related Topics

Oscillators, Laser science, Spectroscopy, Communication circuits, Telecommunication theory

Status

Grant

Latest Lambda News

Nvidia injects $160M into Applied Digital to keep its GPU sales rolling

Sep 6, 2024

Fri 6 Sep 2024 // 00:56 UTC AI has made GPUs one of the hottest commodities on the planet, driving more than $30 billion in revenues for Nvidia in Q2 alone. But, without datacenters, the chip powerhouse and its customers have nowhere to put all that tech. With capacity in short supply , it's no wonder that VC and chipmakers alike are pumping billions of dollars into datacenters to keep the AI hype train from stalling. The latest example includes a $160 million investment by Nvidia and partners in Dallas, Texas-based bit-barn operator Applied Digital, which offers a variety of datacenter and cloud services built around Nvidia's GPUs. As one financial journal noted on Thursday, the DC operator will use the cash injection to accelerate development of a datacenter complex in North Dakota and support additional debt financing schemes to pay for the costly accelerators. With bleeding-edge GPUs commanding as much as a car these days — $30,000 to $40,000 a piece in the case of Nvidia's upcoming Blackwell chips — many datacenter operators have taken to using them as collateral to secure the massive loans. Applied Digital isn't even the biggest example lately. In July, AI datacenter outfit CyrusOne scored another $7.9 billion in loans to pack its facilities with the latest accelerators. That's on top of the $1.8 billion in capital the firm bagged this spring. CyrusOne isn't an isolated instance either. CoreWeave, arguably the biggest name in the rent-a-GPU racket, talked its backers into a $1.1 billion series-C funding round back in May. Only a few weeks later, CoreWeave had convinced them to shell out another $7.5 billion of debt financing. While multi-billion-dollar loans may grab headlines, most don't rise quite to that level. AI cloud upstart Foundry, for instance, managed to pick up $80 million in series-A and seed funding ahead of its launch in August. Even some chipmakers have been vying for their share of the funding while it lasts. Groq, which is unique in that its inference cloud isn't based on off-the-shelf GPUs and instead uses its custom language processing units (LPUs), scored $640 million to expand its offering last month. Meanwhile, Lambda, one of the original GPU-cloud operators, started the year with a $320 million funding round. Along with another $500 million in loans secured this spring, it now plans to add tens of thousands of Nvidia GPUs to its compute clusters. Unsurprisingly, there are a number of bit-barn operators looking to replicate this strategy. TensorWave is working to scale out compute clusters based on AMD's MI300X accelerators, while Voltage Park is following Lambda and others' lead and sticking with Nvidia GPUs. Those are just the ones that spring to mind, but the takeaway here is that it's a good time to be in the datacenter business, especially if those plans include renting out GPUs.

Lambda Frequently Asked Questions (FAQ)

  • When was Lambda founded?

    Lambda was founded in 2012.

  • Where is Lambda's headquarters?

    Lambda's headquarters is located at 2510 Zanker Road, San Jose.

  • What is Lambda's latest funding round?

    Lambda's latest funding round is Line of Credit.

  • How much did Lambda raise?

    Lambda raised a total of $393.15M.

  • Who are the investors of Lambda?

    Investors of Lambda include Industrial Development Funding, Macquarie Group, 1517 Fund, Gradient Ventures, Bloomberg Beta and 18 more.

  • Who are Lambda's competitors?

    Competitors of Lambda include The Cloud Minders, Graphcore, CoreWeave, Deci, Radium and 7 more.

  • What products does Lambda offer?

    Lambda's products include GPU Cloud and 3 more.

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Compare Lambda to Competitors

CoreWeave Logo
CoreWeave

CoreWeave is a specialized cloud provider focused on delivering GPU-accelerated compute resources within the cloud computing industry. The company offers a range of services including GPU and CPU compute solutions, managed Kubernetes, virtual servers, storage, and networking, all designed to support compute-intensive tasks such as VFX & Rendering, Machine Learning & AI, and Pixel Streaming. CoreWeave primarily caters to sectors that require high-performance computing, such as the machine learning, visual effects, and artificial intelligence industries. CoreWeave was formerly known as Atlantic Crypto Corp.. It was founded in 2017 and is based in Roseland, New Jersey.

A
ArrayFire

ArrayFire specializes in high-performance computing solutions, focusing on GPU and accelerator software within the technology sector. The company offers a comprehensive tensor library for GPU computing, consulting services, and training programs aimed at accelerating code and algorithm performance. ArrayFire's products and services cater to a diverse range of industries that require advanced computing capabilities, such as defense, finance, and media. It was founded in 2007 and is based in Atlanta, Georgia.

i
io.net

io.net focuses on providing artificial intelligence (AI) solutions. The company offers a platform to harness global graphics processing unit (GPU) resources to provide computing power for AI startups, allowing users to create and deploy clusters for machine learning applications. It primarily serves the AI development and cloud computing industries. io.net was formerly known as Antbit. It was founded in 2022 and is based in New York, New York.

L
Lumino

Lumino specializes in providing cloud-based solutions for model development and training within the technology sector. Their services include an SDK for building and training machine learning models, with a focus on cost efficiency and access to GPU resources. The company caters to clients who require scalable computing power for training, ensuring data privacy and transparent operations. It was founded in 2023 and is based in San Mateo, California.

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neu.ro

Neu.ro operates as a technology company. The company offers a platform-as-a-service solution to manage the entire data training and machine learning lifecycle, providing infrastructure management and automation for successful machine learning development at scale. It primarily serves sectors such as telecommunications, healthcare, transportation and logistics, sales and marketing, banking and fintech, and many others. It was founded in 2019 and is based in San Francisco, California.

Neural Magic Logo
Neural Magic

Neural Magic specializes in software-delivered AI, focusing on high-performance inference serving solutions for deploying open-source large language models (LLMs), computer vision (CV), and natural language processing (NLP) models. The company offers products that enable efficient and fast inference on private CPU and GPU infrastructures, including sparsity-aware servers and optimization libraries. Neural Magic's solutions cater to the needs of various sectors requiring scalable and cost-effective AI applications, such as those in the cloud computing and data center domains. Neural Magic was formerly known as Flexible Learning Machines. It was founded in 2018 and is based in Somerville, Massachusetts.

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