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§ Private Profile · San Francisco, CA, USA
Open-source software platform for deep learning & machine learning, automating AI model training on GPU clusters for enterprises.
Determined AI has raised $14.0M across 2 funding rounds.
Key people at Determined AI.
Determined AI has raised $14.0M in total across 2 funding rounds.
Determined AI develops an open-source software platform that automates infrastructure management, workflows, and hyperparameter tuning for deep learning and machine learning development. The organization operates with a team of 38 employees, generating estimated revenues between 1 and 10 crores, and enables Fortune 500 enterprises across the biopharmaceutical, autonomous vehicle, defense contracting, and manufacturing sectors to train artificial intelligence models on GPU clusters deployable either on-premises or in the cloud. Prior to its strategic 2021 acquisition by Hewlett Packard Enterprise, the startup secured $13.6 million in total venture funding, which included a $2.6 million seed round and an $11 million Series A round. This early financial backing was provided by prominent venture capital firms including GV, Amplify Partners, SV Angel, and CRV. Determined AI was founded in 2017 by Evan Sparks, Neil Conway, and Ameet Talwalkar.
Determined AI has raised $14.0M across 2 funding rounds. Most recently, it raised $11.0M Series A in March 2019.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 15, 2019 | $11M Series A | GV | TED Stinson, CRV, Haystack, Specialized Types, SV Angel, The House Fund | Announced |
| Dec 1, 2016 | $3M Seed | — | Vasudev Bailey, Highland Capital Partners, Hoxton Ventures, Pieter Kemps, Questa Capital, Radical Ventures, The House Fund, What IF Ventures, Michael Baum | Announced |
Key people at Determined AI.
Determined AI has raised $14.0M in total across 2 funding rounds.
Determined AI's investors include Google Ventures, Ted Stinson, CRV, Haystack, Specialized Types, SV Angel, The House Fund, Vasudev Bailey, Highland Capital Partners, Hoxton Ventures, Pieter Kemps, Questa Capital.
Determined AI builds an open-source deep learning training platform that simplifies and accelerates the development, training, and deployment of machine learning models, allowing engineers and researchers to focus on innovation rather than infrastructure management.[1][2][3] It serves ML teams in industries like biopharma, autonomous vehicles, defense, and manufacturing, solving key challenges such as infrastructure complexity, high costs, data quality issues, talent shortages, and unclear ROI by enabling faster model scaling, distributed training, hyperparameter tuning, and resource scheduling on-premises or in the cloud.[1][2][3] The company demonstrated strong early growth, launching its platform in 2020 and gaining rapid adoption before its acquisition by Hewlett Packard Enterprise (HPE) in June 2021, which integrated it into HPE's HPC and AI offerings to enhance enterprise-scale ML capabilities.[2][3][7]
Determined AI was founded in 2017 in San Francisco by Neil Conway, Evan Sparks (CEO), and Ameet Talwalkar (Chief Scientist, a Machine Learning professor at Carnegie Mellon University).[2][7] The idea emerged from the founders' expertise in addressing the growing pains of ML workflows, which had become compute-intensive, data-heavy, and communication-challenging, prompting a need for tools that boost developer productivity without requiring deep HPC expertise.[2][5][6] Early traction came swiftly after the open-source platform's 2020 launch, with adoption across diverse sectors and a pivotal example of reducing drug discovery model training from three days to three hours, establishing it as a leader in ML software before HPE's acquisition in 2021.[2][3][7]
Determined AI rides the explosive growth of AI and ML, particularly the shift toward enterprise-scale deep learning amid the "Age of Insight," where data must yield faster, actionable outcomes.[3][6] Its timing was ideal, launching in 2020 as compute demands surged, addressing market forces like talent shortages, infrastructure barriers, and the need for heterogeneous AI across clouds and edges.[1][2][5] By open-sourcing efficient training tools, it influences the ecosystem by democratizing high-performance ML, empowering non-experts, and accelerating innovation in sectors embedding AI into operations—now supercharged by HPE's HPC dominance for broader industry adoption.[2][3][7]
Post-acquisition, Determined AI's platform will likely expand within HPE's ecosystem, integrating deeper with enterprise HPC to power next-gen AI applications at massive scales.[2][3] Trends like multimodal models, edge AI, and sustainable computing will shape its path, leveraging its optimization strengths for faster, greener training amid rising regulatory and efficiency pressures. Its influence may evolve from startup disruptor to core HPE AI enabler, further simplifying ML for global enterprises and solidifying open-source as the gold standard for innovation over infrastructure woes—echoing its founding mission to let builders focus on breakthroughs.[1][5][7]
