Harrison George @HarrisonMGeorge
Manhattan, NY Joined November 2024-
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Today, we released the fastest API for GLM 5.2, the best open weight model: 280 TPS and <0.8 TTFT. This performance is the culmination of a number of techniques model performance has been building: PD disaggregation, multi-token prediction heads for spec dec, KV cache aware routing, and much more. Check out all the optimizations here: baseten.co/blog/how-we-bu…
@baseten has raised a $1.5B Series F. Beyond proud to be a part of such an amazing team! Inference is just getting started. Baseten is inference!
What a journey. One year ago I never would've imagined joining such a special company. Excited to keep pushing ahead.
@tuhinone What a ride it's been! Lets go!
We've launched the fastest GLM 5 API available at 190 TPS and 0.79 sec TTFT with the Baseten Inference Stack. Ready for your coding and agentic workflows. baseten.co/blog/how-we-bu…
You’ve used language models, image models, video models, and voice models. Now it’s time for world models, thanks to World Labs.
@philipkiely This is unreal! Congrats @philipkiely
"the best application layer companies set up the harness and how to use it for the problem that your user is trying to solve"
Baseten’s day 0 bet was that inference was the technology that would enable the best user experiences AI could deliver–fast, smart, reliable, secure. And that those experiences would rely not only on a handful of giant general intelligence models, but millions of specialized models built by companies for their specific customers and use cases. Whether you’re a doctor, developer, lawyer, mechanic, researcher, construction worker, marketer, etc, you’re accelerated by specialized tools worthy of your craft. To me, this is one of the most meaningful promises AI can deliver on. We’re starting to see it now. Many of the main-character AI companies on the application layer are built on highly-specialized models for highly-specialized workflows–Abridge, Clay, Cursor, OpenEvidence, Hebbia, Mercor, Notion–these businesses are booming because customers love specialized tools. There are probably hundreds of custom models in production today. Soon, there will be thousands and then millions. All enabled by a high-performing inference layer. Inference has emerged as one of the hardest problems in modern AI systems. Delivering reliable, low-latency experiences requires deep coordination across distributed infrastructure, kernel-level performance, and software ergonomics—even world-class teams struggle to do this well. As a result, as consumers and developers, we’ve grown to accept sluggish performance, frequent downtime, and inconsistent quality across both application companies and model providers. Meanwhile, the demands on inference are accelerating: AI adoption is trending towards ubiquity with reasoning models that are orders of magnitude more compute-intensive. This will only increase as more companies catch on to the virtues of owning their end-to-end IP rather than relying on black-box model APIs on shared infrastructure. Whether we can realize the impact of this generational shift will depend on our ability to serve these models reliably at scale. We knew we could make the technology work, but the biggest delight of it all has been seeing what our customers do with it. The (many-model) future is bright.
We’re thrilled to announce that we have raised $300M at a $5B valuation. The round is led by IVP and CapitalG, both doubling down on their investment in Baseten, and joined by 01A, Altimeter, Battery Ventures, BOND, BoxGroup, Blackbird Ventures, Conviction, Greylock, and NVIDIA.
We’re thrilled to announce that we have raised $300M at a $5B valuation. The round is led by IVP and CapitalG, both doubling down on their investment in Baseten, and joined by 01A, Altimeter, Battery Ventures, BOND, BoxGroup, Blackbird Ventures, Conviction, Greylock, and NVIDIA. Read more here: baseten.co/blog/announcin…
@thdxr @Messermeister is a sick brand
@thdxr hahah so facts but whats about discord?
Training is here, and this internal hype video must be seen s/o @vim_dzl and @kamack_sf for doing the 🐐 proud
After months of feedback from our early customers and thousands of jobs completed, Baseten Training is officially ready for everyone. 🚀 Access compute on demand, train any model, run multi-node jobs, and deploy from checkpoints with cache-aware scheduling, an ML Cookbook, tool
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