The size of the deals it's backing has also more than 2x’d since 2022. At the median:
2022: $27M
2023: $77M
2024 YTD: $66M
The vast majority of startups Nvidia has invested in so far this year are already deploying or scaling their products in the market, as highlighted by CB Insights commercial maturity scores.
Translation: it's not investing in very early-stage companies.
Nvidia is betting on rising private companies to provide continued growth for its chips.
The industrial opportunity
Its 4 latest deals have gone to companies in “hard tech”:
Freeform (Series B) — metal 3D printing using computer vision to improve quality
Orbital Materials (Series A) — AI-powered advanced materials discovery
Carbon Robotics (Series D) — autonomous farming robots for weeding
In our June 2024 strategy map, we identified the industrial sector as a strong market opportunity for Nvidia.
Its partnership and investment activity highlights a focus on industrial applications that require large datasets and advanced simulations — like digital twins and robotics.
Acquisition activity
Outside of investments, Nvidia’s acquisitions show a pattern: the company is looking to make using its pricey chips more cost-effective and efficient.
It’s picked up 3 companies so far this year focused on optimizing AI workloads:
OctoAI (September 2024)
Run:ai (April 2024)
Deci AI (April 2024)
CentML (backed by Nvidia a year ago), which is also in the optimization market, could be an upcoming target for Nvidia.
Driving the AI ecosystem
Running intensive AI applications requires specialized processors — a market Nvidia dominates with up to an estimated 95% market share.
In turn, many of the startups the chipmaker has invested in are using Nvidia’s chips. For example, Carbon Robotics uses Nvidia GPUs to power its laser-weeding robot.
Amid the AI computing boom, Nvidia is inserting itself deeper into the AI ecosystem.
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