One of the interesting parts of working at a growing company is watching the assumptions and abstractions in your product stop fitting as you move upmarket.
If you catch it early enough, you can revisit those abstractions before they start limiting who you can serve. Teams was one of those projects — here's the backstory on why we built it and how.
Shout-out to the builders: @samshineeee, Daniel Wang, Archit Mishra, and @suren_at
If you see a doctor today, chances are they're using OpenEvidence for trustworthy, up-to-date medical information at their fingertips.
We're thrilled to support OpenEvidence's mission with the speed (<160 ms latency) and reliability physicians require at the point of care.
With 8x less time spent on infrastructure and 6x faster deployment processes, OpenEvidence's engineers focus on where they uniquely shine: creating best-in-class tools for physicians.
📈 @baseten users are scaling smarter with us:
✅ 5× throughput on high-traffic endpoints
✅ 50% lower cost per token
✅ Up to 38% lower latency on the largest LLMs
Built on NVIDIA Blackwell + TensorRT-LLM + Dynamo on @googlecloud—driving efficiency, speed & adoption at scale.
Learn More: https://t.co/OX8dUL2GZN
We're excited to announce that we've raised a $40M Series B to help power the next generation of AI-native products with performant, reliable and scalable inference infrastructure.
https://t.co/NAn8LduZ6I
🎶 MusicGen Large is now in the Baseten Model Library! Deploy in just a few clicks and get started using this music generation model from Facebook:
https://t.co/Lx9tBucMBP
i'm 99% sure openai is still silent on image-gpt4 because being able to solve most captchas is freaking them out a bit
if catcpha's don't work, we literally have no alternatives right now. what do?
Not to miss: we're hosting our first-ever East Coast AI meetup in New York City on April 12. All NY area founders, engineers, tinkerers, and visionaries are invited to chat ML and find their next collaborator! https://t.co/vwsgetvZjE
The US is the 6th-most expensive country in the world to build rapid transit infrastructure, & yet the quality & quantity of transit projects is considerably inferior.
🧵 So, why does it cost so much to build transit in the US?
👋 Meet Blueprint: An easy way for developers to fine-tune and serve open source foundation models.
Check it out here: https://t.co/L8OOSKJm4Y
🧵 A thread on why we built Blueprint and what you can do with it:
We’re launching something big — meet Blueprint.
https://t.co/17r4k63fEZ
Blueprint is the fastest way for developers to fine-tune and integrate generative models into their APIs.