San Francisco Startup Volantis Raised $88 Million
The semiconductor firm plans to use the funding to accelerate AI hardware development by 2027.
Updated on Oct. 1, 2026 in Semiconductors
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A San Francisco semiconductor startup has secured $88 million in new venture capital to address data bottlenecks in AI hardware. Volantis aims to use vertical-cavity surface-emitting lasers to improve communication between computing and memory chips.
Why it matters
The company intends to solve the connectivity limitations that currently restrict AI processing speeds. By increasing the number of memory chips that can link to a GPU, they hope to significantly boost performance for demanding coding tasks.
Volantis secured $88 million in venture funding, enabling a system that can pack 220 memory chips around a GPU, a significant increase over the 8 chips found in current Nvidia models.
The players
Volantis
A San Francisco-based semiconductor startup developing hardware to improve AI chip connectivity.
Lachy Groom
An investor who co-led the $88 million funding round for the startup.
Abstract Ventures
A venture capital firm that co-led the recent investment in Volantis.
The details
The funding round was led by Lachy Groom and Abstract Ventures, with additional participation from VXI Capital, Triatomic, Susa Ventures, and several angel investors. Volantis plans to use this capital to develop a new chip designed to speed up AI coding, with a product delivery expected in 2027. The company utilizes laser technology to bypass existing constraints on how data moves between computing and memory components.
Timeline
October 1, 2026: Volantis announced the $88 million funding round.
2027: Volantis expects to deliver a new chip.
Across the Bay
The project addresses a critical hardware constraint in current AI infrastructure, specifically the connectivity ceiling found in standard Nvidia GPU setups. It follows an industry trend of seeking novel ways to scale high-bandwidth memory for increasingly complex AI models.
Residents working in the local tech sector should monitor the company's product roadmap throughout 2027. The startup's ability to scale chip efficiency will be a key performance metric for the local hardware industry to watch.
The takeaway
The move suggests a significant shift in how memory might be integrated into next-generation AI hardware by 2027. Interested observers should follow the company's development milestones as they prepare to scale their laser-based connectivity technology.
Further reading
For more on the local tech sector, check our coverage of Semiconductors.
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Do you believe new AI chip developments will significantly improve the performance of your consumer electronics?
