Run:ai (Acquired by NVIDIA)
Run:ai (Acquired by NVIDIA)'s Overview
Run:ai is a company specializing in AI infrastructure orchestration, providing a software platform to help organizations manage and optimize their Graphics Processing Unit (GPU) resources for artificial intelligence workloads. Their solutions enable dynamic allocation, pooling, and virtualization of GPUs, allowing data scientists and MLOps teams to accelerate AI model development, training, and deployment more efficiently and cost-effectively. Run:ai was acquired by NVIDIA in April 2024 to further enhance NVIDIA's AI platform capabilities.
Where is Run:ai (Acquired by NVIDIA)'s Headquarters?
HQ Function
Serves as the primary center for research and development, product strategy, engineering, and corporate leadership for Run:ai's global operations, prior to its acquisition by NVIDIA.
Notable Features:
Located in Alon Towers, a prominent modern office complex, offering state-of-the-art facilities conducive to a high-tech work environment.
Work Culture:
Characterized by a fast-paced, innovative, and collaborative atmosphere, typical of a high-growth technology startup in the AI space, encouraging agile development and cutting-edge problem-solving.
HQ Significance:
The Tel Aviv headquarters leverages Israel's strong ecosystem of AI talent and technological expertise, which was crucial for Run:ai's development of its specialized GPU orchestration platform.
Values Reflected in HQ: The choice of a modern, well-equipped headquarters in a leading tech hub reflects Run:ai's commitment to innovation, technological excellence, and attracting top talent in the AI field.
Location:
Prior to its acquisition by NVIDIA, Run:ai operated with a global reach, serving customers across North America, Europe, and Asia. Its headquarters in Israel and presence in the US were complemented by a network of partners and a distributed team supporting sales, customer success, and technical assistance for its AI infrastructure platform worldwide.
Street Address:
Yigal Alon St 94, Alon Towers 1
City:
Tel Aviv-Yafo
State/Province:
Tel Aviv District
Country:
Israel
Run:ai (Acquired by NVIDIA)'s Global Presence
Palo Alto, California/USA
Address: 228 Hamilton Ave, Palo Alto, CA 94301, USA
To facilitate market expansion in North America, build relationships with U.S.-based clients and partners, and provide localized support for Run:ai's AI compute orchestration solutions.
Buying Intent Signals for Run:ai (Acquired by NVIDIA)
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Executive Team of Run:ai (Acquired by NVIDIA)
As of April 2025, Run:ai (Acquired by NVIDIA)' leadership includes:
Investors of Run:ai (Acquired by NVIDIA)
Run:ai (Acquired by NVIDIA) has been backed by several prominent investors over the years, including:
Executive New Hires/Exits in the Last 12 Months
The most significant executive-level event for Run:ai in the last 12 months was its acquisition by NVIDIA, announced in April 2024. This development entails the integration of Run:ai's team, including its leadership, into NVIDIA. Specific individual executive hires or departures in the 12 months leading up to the acquisition were not widely publicized as Run:ai operated as a private company.
Technology (Tech Stack) used by Run:ai (Acquired by NVIDIA)
Discover the tools Run:ai (Acquired by NVIDIA) uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Run:ai (Acquired by NVIDIA) Email Formats and Examples
Run:ai likely uses standard corporate email formats. The most common pattern observed for companies of its structure and industry is [first].[last]@run.ai. Other potential formats could include [first_initial][last]@run.ai or [first]@run.ai.
first.last@run.ai
Format
omri.geller@run.ai
Example
85%
Success rate
News and media
NVIDIA Newsroom • April 24, 2024
NVIDIA to Acquire Run:ai, Helping Customers Make AI More Efficient
NVIDIA announced it has agreed to acquire Run:ai, a workload management and orchestration software provider. The acquisition aims to help NVIDIA customers make more efficient use of their AI computing resources by integrating Run:ai's capabilities for managing and optimizing compute infrastructure across on-premises, cloud, and hybrid environments....more
Run:ai Blog • June 20, 2023
Run:ai and Weights & Biases Partner to Streamline and Accelerate the Machine Learning Lifecycle
Run:ai announced a partnership with Weights & Biases (W&B) to integrate Run:ai's AI compute orchestration with W&B's MLOps platform. The collaboration aims to offer a more cohesive workflow for machine learning practitioners, combining efficient GPU resource management with experiment tracking and model versioning....more
Run:ai Blog • May 16, 2023
Introducing Run:ai’s MLOps Compute Platform (MCP) – The Foundation for Your AI Cloud
Run:ai unveiled its MLOps Compute Platform (MCP), designed to serve as a foundational layer for AI operations by optimizing compute resource allocation. The platform helps organizations build their own 'AI Cloud' by efficiently managing, scheduling, and scaling AI workloads on GPU infrastructure....more
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