What is Run:AI?
Run:AI provides a specialized platform for the virtualization of AI workloads, enabling enterprises to maximize the efficiency of their GPU clusters. By abstracting the underlying hardware, the company allows data science teams to pool resources, effectively turning fragmented compute environments into a unified, elastic infrastructure. Beyond its core virtualization engine, Run:AI has contributed significantly to the open-source community, notably through its development of mechanisms for gradient accumulation in deep learning. With a dual-headquarters presence in Tel Aviv and New York, the company is strategically positioned to serve both the burgeoning Israeli tech ecosystem and the global enterprise market, addressing the critical need for operational efficiency in high-performance computing environments.
How much funding has Run:AI raised?
Run:AI has raised a total of $115M across 3 funding rounds:
Series A
$10M
Series B
$30M
Series C
$75M
Series A (2019): $10M with participation from TLV Partners and S Capital
Series B (2021): $30M led by S-Capital, Insight Partners, and TLV Partners
Series C (2022): $75M supported by S Capital VC, Tiger Global Management, Insight Partners, and TLV Partners
Key Investors in Run:AI
Insight Partners
A global venture capital and private equity firm that focuses on high-growth software and internet businesses, providing both capital and operational support to scale portfolio companies.
S Capital
A venture capital firm specializing in early-stage investments across deep technology, cybersecurity, and enterprise software, with a focus on fostering innovation in the Israeli tech sector.
TLV Partners
An Israeli-based venture capital firm that partners with early-stage entrepreneurs to build category-defining companies in sectors such as AI, healthcare, and application security.
What's next for Run:AI?
With the recent infusion of $75M, Run:AI is poised to accelerate its product roadmap and expand its global footprint. The company is expected to focus on deepening its integration with cloud-native environments and enhancing its orchestration capabilities to support the next generation of generative AI models. As enterprises continue to grapple with the high costs of GPU procurement and management, Run:AI's value proposition—optimizing utilization to reduce total cost of ownership—becomes increasingly vital. Future strategic initiatives will likely involve scaling its sales and engineering teams to meet the enterprise demand for robust, scalable AI infrastructure, ensuring the company remains at the forefront of the AI compute revolution.
See full Run:AI company page
