Ollama, a Palo Alto-based developer platform for running open-weight large language models locally, has raised $65 million in Series B funding led by Theory Ventures. The company provides a single-command CLI and API for downloading and executing open models on personal hardware, with a new cloud tier for scaling workloads. The round brings total funding to $88 million including a prior $15 million Series A from Benchmark.
Docker Alumni Target Open AI Distribution
The timing aligns with open-weight models reaching production parity and enterprises seeking alternatives to expensive cloud APIs. Competitors include LM Studio, which raised $19.3 million, and vLLM (Inferact), which secured a $150 million seed round at $800 million valuation in January 2026. Ollama differentiates through its hybrid local-cloud workflow that maintains the same CLI and OpenAI-compatible API across environments.
8.9 Million Developers Drive Adoption
Ollama serves 8.9 million monthly active developers and is used by 85 percent of the Fortune 500. Its simplicity has made it the default runtime for local experimentation, with 176,000 GitHub stars and 40,000 community integrations. Privacy regulations and rising cloud API costs are accelerating demand for on-device and private inference options.
Hybrid Runtime Bridges Local and Cloud
The platform started as a free local runner but now includes tiered cloud subscriptions at $20 and $100 per month billed by GPU time rather than tokens. This approach lets developers prototype locally then burst to larger models without changing code or facing surprise overage bills. Partnerships with NVIDIA, Meta, Google, and OpenAI position Ollama as a primary distribution channel for new open models the day they release.
"What Jeff and Michael built with Docker is being used by 10 million-plus developers every day. The creative powers to create a product that goes to ubiquity for developers is extremely rare." — Peter Fenton, Benchmark
Theory Ventures Leads Strategic Round
Theory Ventures led the Series B with participation from Benchmark, 8VC, Y Combinator, and angels including Docker founder Solomon Hykes. The investor mix signals conviction in open models generating the supermajority of tokens within 18-24 months. Tomasz Tunguz of Theory Ventures personally migrated most workloads to Ollama after discovering the team in Palo Alto.
Open Inference Market Expands Rapidly
The AI inference market stands at $126.2 billion in 2026 and is projected to reach $520.7 billion by 2034 at 17.5 to 19.4 percent CAGR. Broader open-source AI tooling is forecast to grow from $13.37 billion in 2024 to $112.6 billion by 2032. Ollama occupies the runtime layer between GUI clients and high-throughput serving frameworks.
Repeat Founders Bring Proven Playbook
Co-founders Jeffrey Morgan and Michael Chiang previously created Kitematic, acquired by Docker in 2015, and built Docker Desktop now used by over ten million developers. Their experience scaling developer infrastructure once before informs Ollama's approach to making complex AI tooling accessible through simple commands.
Funding Fuels Platform Scaling
The capital will support expansion of cloud infrastructure, team growth, and deeper enterprise features including team workspaces and centralized controls slated for release.