Thomas Suarez

AR hardware & software engineering since 2012 ᯅ

Building @raven_computer

[Thomas Suarez @tomthecarrot]

Insights from some of the initial design decisions we made @RavenGlasses:

https://t.co/nb2lbAKWUN

[Thomas Suarez @tomthecarrot]

@alexfmac Thanks 😂 great catching up Alex!

[Thomas Suarez @tomthecarrot]

@i2cjak @zackslab @Ruth_Oyen @realwillreil @oldestasian @_Stocko_ @cursedconnector @emm0sh @MatthewTavares @1llegalEngineer @Freesiagaul @SipeedLab @adafruit 🫡

[Thomas Suarez @tomthecarrot]

Tapa is one of the most brilliant minds in silicon photonics. Excited to see Volantis scaling and solving hard challenges!

[Tapa Ghosh @semiDL]

Excited to announce Volantis's $88M Series A.

We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory.

By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot.

Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours.

More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more.

Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more.

We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: https://t.co/ljYTimdcbJ

[Tapa Ghosh @semiDL]

Excited to announce Volantis's $88M Series A.

We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory.

By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot.

Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours.

More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more.

Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more.

We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: https://t.co/ljYTimdcbJ

[Archetype @archetypework]

We built a gallery experience about everything humans have measured about themselves, and the one thing we still don't: (digital work). Oct 7, SOMA, SF.
Part of @Techweek_

https://t.co/4Pwlsitgnw

[Thomas Suarez @tomthecarrot]

Cool SystemVerilog implementation of the legendary Voodoo Graphics SST-1 combined with a 486 CPU, all running on an FPGA!

By @nand2mario
https://t.co/z3kj2Fuvoi

[R.Braga @_Ricardo_B_]

Pretty stoked seeing DOOMed Prism running on the actual hardware.

I built it without having the glasses. Raven compiled it directly on the real device — and it just worked.

Thanks for putting it to the test, @tomthecarrot and the @RavenGlasses team.

[Thomas Suarez @tomthecarrot]

Developed by @_Ricardo_B_

[Thomas Suarez @tomthecarrot]

Can it run DOOM? Here's Raven Prism running the first natively compiled (non web app) DOOM port on lightweight eyewear!

There is enough RAM overhead to run 15 instances of it simultaneously - excited to see what people continue to build on Raven Prism!

Courtesy of the developer Ricardo Braga: https://t.co/og3onKmRpF

[CadeXR @Cade_XR]

god I am so excited to get a pair of Raven Prisms, genuinely next gen glasses

[sam carter | 현준 @samhcarter]

we got Doom running on a pair of glasses before we got GTA 6

[Thomas Suarez @tomthecarrot]

Hosting lab tours @raven_computer ahead of launch. Explore how we design and prototype Raven Prism on-site!

We do the engineering + design for Raven Prism in-house in San Francisco: electronics, mechanical components, firmware, and more. We also work with great partners for certain components, to be announced.

Raven Prism is built, flashed and tested in the USA.

Next Tuesday at 6pm in Potrero Hill, SF. Limited capacity, register here:

https://t.co/jbNMtLpURU

[Thomas Suarez @tomthecarrot]

@lucaisdesigning webOS was ahead of its time

[Thomas Suarez @tomthecarrot]

@sudoredj @tomasmas Thank you!!

[redJ @sudoredj]

Raven is the best team in the world rn working on AR devices. They remind me a lot of Framework.
Tom is one of the most knowledgeable, talented, & down to earth people I've met. Their team is similarly amazing.

Excited af to try using Raven glasses w/ @tomasmas' mouthpad in 2027

[Thomas Suarez @tomthecarrot]

We're hiring a Sr Mechanical Engineer on the Product Design side at @raven_computer. We design & build ambient computers in glasses form at our San Francisco lab and manufacture domestically in the US.

Join us!
https://t.co/8pYX3n7QSD

[Thomas Suarez @tomthecarrot]

🐦‍⬛ on the tree

@raven_computer

[Thomas Suarez @tomthecarrot]

@carlpeterson Congrats!

[Thomas Suarez @tomthecarrot]

@hthieblot Google Wave

[Thomas Suarez @tomthecarrot]

@tomasmas @augmentaltech Yes! Pre ordered mine