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Mithril builds an AI omnicloud platform that aggregates GPUs, CPUs, and storage from multiple cloud providers into a single virtual pool for distributed AI compute. It offers a unified interface (REST API, CLI, Python SDKs) to run workloads across clouds with real-time pricing and flexible purchasing options (market rate, spot bids, flexible reservations). A batch inference service handles large AI tasks with token-based pricing and automates orchestration, scaling, and reliability to improve price-per-task. The platform differentiates itself by spanning multiple providers to create a transparent, real-time AI compute market, emphasizing visibility, utilization, and easy multi-cloud deployment to make AI infrastructure more accessible for researchers, startups, and enterprises.
Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$80M
Headquarters
Palo Alto, California
Founded
2017
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Total Funding
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Today, Foundry, a new breed of public cloud for AI/ML workloads, announced $80M in seed and Series A funding to orchestrate the world’s compute capaci
PALO ALTO, Calif.--(BUSINESS WIRE)--Today, Foundry, a new breed of public cloud for AI/ML workloads, announced $80M in seed and Series A funding to orchestrate the world’s compute capacity, rendering it universally accessible and useful. The round was co-led by Sequoia Capital and Lightspeed Venture Partners, with participation from Redpoint, Microsoft Ventures (M12), Conviction, NEA, and other leading technical and commercial minds from the industry. Foundry is building to ensure humanity maximizes the utility of the computing power we already have, and will produce. Shaun Maguire, partner at Sequoia Capital, on why he led the seed and co-led the Series A rounds of Foundry: “Building AI infrastructure is uniquely relevant right now and highly complex to build, requiring profound technical expertise in areas traditionally seen as separate, like; deep learning, distributed systems, the economics of energy, finance, as well as market theory and mechanism design. What Jared and the team at Foundry are building is at the forefront of innovation in the world of public clouds for AI/ML workloads and will deeply influence the ecosystem for years to come.". Founded by alumni from DeepMind’s core Deep Learning Team and Stanford’s CS PhD program (a group led by Databricks co-founder Matei Zaharia), Foundry tackles the core economic and technical challenges in AI and deep learning
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Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$80M
Headquarters
Palo Alto, California
Founded
2017
Find jobs on Simplify and start your career today