Lightmatter#59
About
Lightmatter is a photonics company building optical interconnects and processors that use light instead of electricity to move and compute data, dramatically increasing bandwidth and energy efficiency for large-scale AI data centers. It spun out of MIT in 2017.
From X
Made a list of the three most admired Silicon Photonics companies in Silicon Valley. Below is the biggest investors that join these outrageous multi-billion valuations. But what do these investors know about this market? Probably less than most of us. It is probably more likely they end-up as Intellego and Azelio! Ayar Labs (Series E $3.75B) - NVIDIA - AMD Ventures - Sequoia Capital - Insight Partners - MediaTek - ARK Invest (Cathie Wood) - Qatar Investment Authority (State Sovereign Wealth Fund) - Neuberger Berman (Lead Investor) Celestial AI (Final Series C1 Round) (Note: This was their final private round before being acquired by Marvell Technology for $3.2B+earn-out). - BlackRock - Fidelity Management & Rese - Tiger Global Management - Samsung Catalyst Fund - AMD Ventures - Temasek (Singapore State Sovereign Wealth Fund) - Porsche Automobil Holding Lightmatter (Series D Round $4.4B). -T. Rowe Price (Lead Investor) - Google Ventures / Alphabet - Fidelity Management & Resea - HPE Pathfinder (Hewlett Packard Enterprise)
https://t.co/Qo0apgj7Vt A preview of one of our production-ready photonic link architectures. Four times faster per fiber than any other link. Less fiber to manage. More performance. Faster time-to-train. 16 wavelengths/colors of light traveling per fiber—8 in each direction. Maximize your radix and bandwidth with Lightmatter bidi. Strap in for groundbreaking, product-ready photonics released at an unreasonable rate.
News
Lightmatter raises $400M at a $4.4B valuation
Lightmatter is a photonics company building optical interconnects and processors that use light instead of electricity to move and compute data, dramatically increasing bandwidth and energy efficiency for large-scale AI data centers.
Polls
Will photonic computing go mainstream in AI data centers by 2030?
