Tenstorrent builds AI processors, computing systems and licensable chip designs for developers, enterprises and infrastructure operators.
Maverick Silicon
Activity from announced rounds
Maverick Silicon invests in private companies developing chips, hardware, software and production processes that increase computing capability.
The specialist strategy sits within Maverick Capital and follows computing demand across the technology stack. Its scope includes both semiconductors and the hardware, software or production processes needed to deliver more compute.
- Rounds participated in
- 18
- Confirmed lead rounds
- 3 11 roles undisclosed
- New companies
- 16 First participation on record · 2 follow-on
- Funding in participating rounds
- $4.2B 17 disclosed · full round size, not this investor’s share
By stage
By primary sector
By country
Rounds
18 in all activityDevelops modular three-dimensional compute and memory systems for AI infrastructure.
CScale develops optical interconnects that keep large AI computing systems communicating reliably.
Celero develops coherent digital signal processors and analog technology for optical links that connect AI accelerators and data centers. Its validated 2nm silicon architecture is designed to move more data across scale-up, scale-out and data-center links with lower power and a path from 1.6T to next-generation 3.2T connectivity.
Fab2 develops chipmaking equipment and design software to shorten the path from chip design to fabrication.
Lyte develops perception systems for robots and autonomous machines used in inspection, logistics and manufacturing.
iPRONICS builds silicon-photonics optical circuit switches that let AI data centers reconfigure high-bandwidth connections between compute systems across and within racks.
Develops analog integrated circuits using AI-based digital twin design automation
Develops ultra-low-power silicon for AI data centers and Physical AI systems
Develops RF-based interconnect technology for AI data-center and automotive networking
Builds MEMS-based precision timing chips for electronics and AI data centers
Provides open-standard AI networking infrastructure for ultra-low-latency training and inference
Provides AMD-powered AI cloud infrastructure for high-performance workloads
Provides open-standard AI networking infrastructure for ultra-low-latency training and inference
Develops high-speed energy-efficient chip-to-chip connectivity solutions for AI systems
Provides open-standard AI networking infrastructure for ultra-low-latency training and inference
Develops Ethernet-based packet processors for software-defined autonomy.
Provides semiconductor services including chip design, manufacturing, and supply chain visibility