Run:ai
Founded Year
2018Stage
Acquired | AcquiredTotal Raised
$118MValuation
$0000About 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.
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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.
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 10 other companies, including Edge Impulse, Latent AI, 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.
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Research containing Run:ai
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Run:ai in 7 CB Insights research briefs, most recently on Apr 11, 2025.
Oct 3, 2024 report
State of Venture Q3’24 Report
Oct 13, 2023
The open-source AI development market map
Sep 29, 2023
The machine learning operations (MLOps) market mapExpert 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 (AI).
Artificial Intelligence (AI)
25,778 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
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.
Generative AI
2,951 items
Companies working on generative AI applications and infrastructure.
Latest Run:ai News
Nov 4, 2025
AWS will provide its EC2 UltraServers to support OpenAI's generative AI workloads, such as training and running large models like ChatGPT. The partnership is intended to help OpenAI scale its AI systems as demand for computing power rises. OpenAI's models have already been made available earlier this year on Amazon Bedrock, AWS's platform for foundation models, where it is used by customers in various sectors. Both companies said the partnership will support continued development and deployment of advanced AI technology. 🧠 Food for thought Implications, context, and why it matters. OpenAI shifts to multi-cloud for portability and less lock-in OpenAI signed an AWS deal after the October 2025 restructuring removed Microsoft's right of first refusal . It can spread compute across AWS ($38B) and Microsoft Azure ($250B commitment) . Oracle Cloud Infrastructure ($300B reported) and Google Cloud join the list . Cloud contracts near $600B against about $13B revenue The restructuring lets OpenAI work with third parties to build AI products and ship open‑weight models (downloadable models whose parameters are publicly available) . Amazon added OpenAI's first open‑weight models to Amazon Bedrock (AWS's managed service for foundation models) and SageMaker (AWS's machine learning platform) under an open‑source license, bypassing prior API exclusivity Microsoft keeps IP rights to OpenAI models and products through 2032 . Only Azure among major clouds can offer OpenAI tech through the Azure OpenAI Service . OpenAI chooses where to run based on availability, performance, and cost. Platform and infrastructure leaders see an opening in multi-cloud GPU orchestration and workload management Enterprises will copy this pattern. Rafay is a Kubernetes management platform for operating applications across data centers and clouds, while Run:ai is a GPU orchestration platform . These platforms enable GPU‑as‑a‑service (on‑demand GPU capacity delivered as a managed service) and placement based on availability, cost, and performance Most AI teams mix spot instances (lower-cost, interruptible cloud capacity) for training, dedicated capacity for inference, and development instances for experimentation . Automation to handle interruptions and placement is missing. Platforms that blend spot capacity with orchestration cut costs by up to 90% Recent OpenAI developments
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 4 more.
Who are Run:ai's competitors?
Competitors of Run:ai include Domino, Lambda, Tenstorrent, DeGirum, Graphcore 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.
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Compare Run:ai to Competitors
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.
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FuriosaAI focuses on designing AI accelerators for the AI and computing industry. The company provides AI accelerators for large language models, multimodal applications, and computer vision, with a focus on AI inference performance in data centers. FuriosaAI serves sectors that require AI processing capabilities, including the enterprise and cloud computing industries. It was founded in 2017 and is based in Seoul, South Korea.
Neu.ro focuses on providing solutions for data centers within the technology sector. The company's main offerings include a software layer that allows data centers to provide GPU-as-a-Service, supporting AI development and integration with existing business systems. Neu.ro serves the data center industry, with an emphasis on hybrid cloud integration and support for AI and machine learning applications. It was founded in 2019 and is based in San Francisco, California.
Baseten engages in the deployment and serving of machine learning models, focusing on infrastructure and tools that support artificial intelligence applications. The company provides services including deployments for high-scale workloads, a model application programming interface for testing and prototyping, and an inference stack for production environments. Baseten serves various sectors with solutions for generative artificial intelligence applications, transcription services, text-to-speech, and large language models. It was founded in 2019 and is based in San Francisco, California.
RunPod provides cloud-based graphics processing unit (GPU) computing services in the artificial intelligence (AI) sector. The company offers GPU instances, serverless deployment for AI workloads, and infrastructure for training and deploying AI models. RunPod's services include inference, AI model training, and processing compute-heavy tasks. It was founded in 2022 and is based in Moorestown, New Jersey.
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