Thrilled to support @MatXComputing as they build revolutionary chips designed specifically for LLMs. Congrats to @reinerpope@MikeGunter_ and team on the public launch!
Introducing MatX: we design hardware tailored for LLMs, to deliver an order of magnitude more computing power so AI labs can make their models an order of magnitude smarter.
Our hardware would make it possible to train GPT-4 and run ChatGPT, but on the budget of a small startup.
Our founding team has designed chips at Google and Amazon, and we’ve built chips with 1/10 the team size typically needed. Here’s how we’re approaching the problem of inefficient and insufficient compute.
While other chips treat all models equally, we dedicate every transistor to maximizing performance on the world’s largest models. Our goal is to make the world’s best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability. A world with more widely available intelligence is a happier and more prosperous world—picture people of all socioeconomic levels having access to an AI staff of specialist MDs, tutors, coaches, advisors, and assistants.
Our design focuses on cost efficiency for high-volume pre-training and production inference for large models.
This means:
1/ We’ll support training and inference. Inference first.
2/ We optimize for performance-per-dollar first (we’ll be best by far), and for latency second (we’ll be competitive).
3/ We offer excellent scale-out performance, supporting clusters with hundreds of thousands of chips.
4/ Peak performance is achieved for these workloads: large Transformer-based models (both dense and MoE), ideally 20B+ parameters, and inference having thousands of simultaneous users.
5/ We give you low-level access to the hardware.
We believe that the best hardware is designed jointly by ML hardware experts and LLM experts. Everyone on the MatX team, from new grad to industry veteran, is exceptional. Our industry veterans have built ML chips, ML compilers, and LLMs, at Google or Amazon or various startups.
Our CEO, @reinerpope, was Efficiency Lead for Google PaLM, where he designed and implemented the world’s fastest LLM inference software.
Our CTO, @mikegunter_, was Chief Architect for one of Google’s ML chips (at the time, Google’s fastest) and was an Architect for Google’s TPUs.
Our CDO Silicon, @avinashgmani, has over 25 years of experience in building products and world-class engineering teams in silicon and software at Amazon, Innovium and Broadcom.
We’re backed by $25M of investment from specialist investors and operators who share our vision, including: @danielgross and @natfriedman (lead investors, and experts in the AI space), @rkhemani (CEO at Auradine), @amasad (CEO at Replit), @outsetcap, @homebrew, @svangel. Additionally we have investment from leading AI and LLM researchers including @IrwanBello, @jekbradbury, @achowdhery, @liamfedus, and @hardmaru.
Congratulations to @Homebrew companies Ello, @GustoHQ , Habi, @mercury, @Plaid and https://t.co/xbG7ht5Kew for being recognized by Fast Company as some of the most innovative companies in the world in 2024!
https://t.co/HNuIkXMgrY
We’re proud to share that @Finix- is live in Canada! One integration now gets any business all the payments features & functionality needed to be successful in both the US and Canada. Happy to make intros for any ISVs, Marketplaces or Merchants who want to learn more!
1/ Today, we’re proud to announce that @finix's payments solution for merchants, marketplaces, SaaS platforms, and software companies is officially available in Canada 🇨🇦. In 2024, you may assume that would be simple, but here’s why it’s such a big deal:
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Introducing CoinTracker 2.0 🎉
Two powerful products merge into one, get your optimized crypto tax reports and track your portfolio — all in one place.
⬇️ Learn more about our biggest launch in history ⬇️
https://t.co/BB4LR7v09H
With Ello, AI become a personalized reading coach for kids. Thrilled to continue our support in the company's $15m Series A financing. https://t.co/WhdrEbdTAR
https://t.co/xbG7ht6i44 uses gen & voice AI to give restaurants a 24/7 voice concierge that answers every call intelligently. @homebrew is thrilled to support @sambvani and team by leading the company's Series A round.
https://t.co/lyR2gQ1nvw
Proud to back @harryglaser and Tom O'Neill two founders who know their market and customer cold. @modelbit is making ML easy to deploy for all data scientists. https://t.co/0jO9lNMqtR
The growth and pace of learning at Adonis are astounding. No surprise that they raised a strong Series A even in a tough market.
https://t.co/GkzjROfIRO
Amazing to watch truly mission-driven founders make their vision a reality. Congrats to the @HallowApp team on 10m installs and their Series C financing! https://t.co/QChz5h8xtF
We are excited to announce that Crowdbotics has raised a round of Series B funding led by @NEA with participation from @jsv_vc, @homebrew, @BeePartners, and @thehousefund!
Read the announcement: https://t.co/1Xf9fBnOav
Be sure to check out the article written by @TechCrunch - Amberflo wants to transform SaaS pricing with metered usage - discussing our Series A funding and Amberflo's mission going forward.
#usagebasedpricing#saas#billing#plg#seriesA#startup
https://t.co/NoCsnmuatd
Today marks an exciting milestone here at Amberflo. We’re thrilled to announce a $15 million Series A funding round led by @NorwestVP, bringing total funding to $20 million.
Read our founder @pgupta's blog here: https://t.co/3Pbsvk1gt1
We are excited to announce our Series A led by @Temasek with investment from @lowercarbon, @Toyota, @felicis and other angels. We will use this $21M to grow our commercial teams to plant millions of trees across land in the US. https://t.co/cHZNknjokK @Reuters@JessopReuters