Founded Year

2018

Stage

Acquired | Acquired

Total Raised

$118M

Valuation

$0000 

About Run:ai

Run:ai builds a virtualization layer for artificial intelligence (AI) workloads. It helps companies execute AI initiatives while controlling budgets by virtualizing expensive hardware resources to pool, share, and allocate resources. It offers solutions such as graphics processing unit (GPU) optimization, cluster management, artificial intelligence, machine learning workflow management, and more. The company was founded in 2018 and is based in Tel Aviv, Israel. In April 2024, Run:ai was acquired by NVIDIA.

Headquarters Location

Ha'arba'a Street 17

Tel Aviv, 64739,

Israel

Loading...

Run:ai's Product Videos

ESPs containing Run:ai

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 / Development

The hardware-aware AI optimization market provides software solutions that optimize AI algorithms and models to run efficiently on available hardware, such as GPUs and CPUs. These solutions also allow enterprises to compress neural networks to run on edge devices or on-prem servers. With optimization tools, businesses can speed up AI deployments, reduce prediction latency, and improve model perfor…

Run:ai named as Leader among 9 other companies, including Edge Impulse, CentML, and Nota AI.

Run:ai's Products & Differentiators

    Run:ai Atlas

    GPU orchestration and optimization. We provide control and visibility tools for IT teams to manage and allocate GPUs in a granular and secured way as well as tools for data scientists and ML practitioners to run workspaces with their IDE of choice (such as Jupyter notebooks), train models with batch jobs including distributed multi-server large training workloads, and deploy models at scale.

Loading...

Expert Collections containing Run:ai

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

Run:ai is included in 3 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

12,337 items

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

A

AI 100 (All Winners 2018-2025)

200 items

Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.

G

Generative AI

2,330 items

Companies working on generative AI applications and infrastructure.

Latest Run:ai News

Why Nvidia’s new mega Israeli hub may eclipse Intel’s legacy

Jul 7, 2025

As the $4 trillion chipmaker expands, it relies on talent, not tax breaks, to outgrow old rivals. When Mellanox’s sale to Nvidia was signed in 2019, the deal made headlines, it’s not every day that a $7 billion exit comes out of Israel’s startup scene. But the relatively “boring” and complex field in which the two companies operated quickly pushed the story off the broader public agenda. By the time the deal closed in late April 2020, Israel was already deep in the COVID-19 pandemic, and Eyal Waldman, Mellanox’s founder and CEO at the time, was making headlines more for his efforts to bring masks and ventilators into the country than for bringing Nvidia to Israel. Five years later, Waldman’s legacy can be placed alongside that of Dov Frohman, the man who brought Intel to Israel. Over the decades, Intel has become the country’s largest private employer. Some of its most successful processors were designed here, and Frohman received the Israel Prize for his contribution. Waldman has received the same award, though in his case it involved an ongoing political struggle, partly because he belongs to the “wrong” political camp in the eyes of Prime Minister Benjamin Netanyahu. (Photo: REUTERS/Brittany Hosea-Small) Today, Nvidia, which globally has long surpassed Intel in revenue, profitability, and market value, seems poised to overtake Intel as Israel’s largest private employer too. But there’s an important difference: Unlike Intel, which expanded locally with extensive government coordination, tax breaks, and incentive grants, Nvidia’s growth here has been entirely private, without subsidies or conditions. Nvidia’s commitment to Israel rests on one thing: local talent. Its latest move, revealed on Sunday , to search for a massive plot of land in northern Israel to build a campus of over 100,000 square meters, signals that Nvidia is betting Israel will continue to supply the engineers needed to develop what is still considered to be the crown jewel of AI chips. The AI boom is fueling fierce competition in the processor market, which must deliver chips that are more powerful yet cheaper, so the technology revolution can remain profitable. Judging by Nvidia founder Jensen Huang’s recent statements, and moves like this new campus, the company sees Israel as its “secret sauce” for holding onto its dominant share of the AI chip market. Nvidia’s meteoric rise on the global stage almost coincided with its entrance into Israel. The back-of-the-envelope equation says it all: 7 + 93 = 1,000 - that’s the $7 billion Mellanox deal plus Nvidia’s $93 billion market cap at the time, soaring to a trillion-dollar valuation just a few years after the merger. The Mellanox acquisition marked Nvidia’s first major move to expand beyond its roots in gaming GPUs. The timing was perfect. The companies had two years to integrate so that when ChatGPT arrived in late 2022, Nvidia was ready with a solution that could process vast amounts of data, distributed efficiently via Mellanox’s routing technology. When Nvidia bought Mellanox, it gained 2,000 employees and a real foothold in Israel. For comparison, Nvidia has long maintained significant operations in India (since 2004) and China (with a Shanghai hub employing 4,000 people). But this year, its Israeli workforce surpassed its Indian operation, recently reaching 5,000 employees, making Israel its second-largest hub outside the U.S. Despite being the largest U.S. company by market capitalization, nearing $4 trillion, Nvidia’s workforce is relatively small. Google, Microsoft, and Apple each employ over 100,000 people; Nvidia reported just 36,000 employees worldwide at the end of 2024. Even Intel, whose workforce Nvidia continues to poach in Israel, is still massive by comparison. Even after its current 20% workforce cut, Intel will remain above 100,000 employees. This highlights how lean Nvidia is, and how central Israel is to its growth. Unlike Intel, Nvidia designs chips but outsources manufacturing, so its design centers carry more weight than production plants. None of the other global giants with big R&D centers in Israel - Microsoft, Google - match Nvidia’s strategic reliance on Israel. Nvidia’s choice to buy land for its new campus, rather than rent space, as most tech firms do, signals that it’s here to stay. Nvidia Israel currently has about 250 open positions, one-fifth of all its global job openings. In each of the past two years, Nvidia has hired about 1,000 employees in Israel, most at its main hub in Yokneam. The only region rivaling Israel’s growth pace for Nvidia is Taiwan, Jensen Huang’s birthplace. Visiting in May, Huang announced plans for a new Asian headquarters in Taiwan, aiming to hire 2,500 people, despite Taiwan’s own geopolitical challenges. The planned Israeli campus will be comparable in size to Nvidia’s main campus in Silicon Valley, which includes two main buildings totaling over 100,000 square meters. Part of Nvidia’s local expansion has come through acquisitions beyond Mellanox. In 2022, it bought the small startup Excelero for $35 million. In 2024, in the midst of Israel’s Swords of Iron war, it acquired Run.ai for $700 million and Deci for $300 million. While these deals didn’t dramatically increase headcount or revenue in the short term, they reflect Nvidia’s strategy: buying companies it knows well and has partnered with, often after Huang highlights their tech on stage at its annual conferences. Related articles:

Run:ai Frequently Asked Questions (FAQ)

  • When was Run:ai founded?

    Run:ai was founded in 2018.

  • Where is Run:ai's headquarters?

    Run:ai's headquarters is located at Ha'arba'a Street 17, Tel Aviv.

  • What is Run:ai's latest funding round?

    Run:ai's latest funding round is Acquired.

  • How much did Run:ai raise?

    Run:ai raised a total of $118M.

  • Who are the investors of Run:ai?

    Investors of Run:ai include NVIDIA, TLV Partners, S Capital VC, Insight Partners, Tiger Global Management and 3 more.

  • Who are Run:ai's competitors?

    Competitors of Run:ai include Lambda, Tenstorrent, DeGirum, Graphcore, RaiderChip and 7 more.

  • What products does Run:ai offer?

    Run:ai's products include Run:ai Atlas.

  • Who are Run:ai's customers?

    Customers of Run:ai include Zebra Technologies, Kaiser Permanente, Mobileye and EPFL.

Loading...

Compare Run:ai to Competitors

Lambda Logo
Lambda

Lambda provides graphics processing unit (GPU) compute for artificial intelligence within the cloud computing industry. The company offers GPU instances and clusters for AI training and inference, as well as GPU cloud infrastructure. Lambda also offers Kubernetes services, inference endpoints, and application programming interface, and NVIDIA GPU workstations and desktops for deep learning applications. Lambda was formerly known as Lambda Labs. It was founded in 2012 and is based in San Jose, California.

P
Prime Intellect

Prime Intellect develops a platform for discovering compute resources and supports distributed training of AI models. The company focuses on collective ownership of open AI innovations, including language models and scientific models, and engages in research related to decentralized training methods. It was founded in 2023 and is based in Dover, Delaware.

RunPod Logo
RunPod

RunPod engages as a cloud computing company that operates in the artificial intelligence (AI) and cloud computing sectors. The company has a platform for developing, training, and scaling AI models, including features like graphics processing unit (GPU) instances and application programming interface (API) endpoints for AI inference. RunPod serves clients such as startups, academic institutions, and enterprises requiring machine learning infrastructure. It was founded in 2022 and is based in Dover, Delaware.

FuriosaAI Logo
FuriosaAI

FuriosaAI specializes in artificial intelligence (AI) accelerators and operates within the technology sector. The company provides AI inference solutions for large language models and multimodal applications, using its Tensor Contraction Processor architecture. Its products are aimed at the data center industry, focused on the deployment of AI models with low latency and high throughput. It was founded in 2017 and is based in Seoul, South Korea.

H2O.ai Logo
H2O.ai

H2O.ai specializes in generative AI and machine learning. It provides a comprehensive AI cloud platform for various industries. The company offers a suite of AI cloud products, including automated machine learning, distributed machine learning, and tools for AI-driven data extraction and processing. H2O.ai caters to sectors such as financial services, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. H2O.ai was formerly known as 0xdata. It was founded in 2012 and is based in Mountain View, California.

F
Foundry

Foundry provides elastic graphics processing unit compute solutions for artificial intelligence (AI) developers across various sectors. It offers access to NVIDIA graphics processing unit (GPU) for AI training, fine-tuning, and inference. Its services cater to Artificial Intelligence (AI) engineers, researchers, and scientists. It was founded in 2022 and is based in Palo Alto, California.

Loading...

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.