Today, Baseten and @MicrosoftAI are excited to announce that MAI-Thinking-1 is coming to Baseten. MAI-Thinking-1 is a model you can fine-tune without giving your data to the lab. Key characteristics include: → Clean data lineage, with zero distillation from third-party models https://t.co/ulqekRVT17
Ever wonder how much money you'd save by switching to open-source models? We just launched a cost calculator for that, and >80% cost reduction is realistic. Try it out: https://t.co/cHE4Ku3XO4 https://t.co/VvybXhMf8u
We’re excited to announce our $1.5B Series F. Baseten exists to help companies own their intelligence and run AI products in production with speed, reliability, and control. As we enter this next chapter, three things are clear: 1. Customers like Abridge, Clay, Cursor, Decagon, https://t.co/At1I40iDNc https://t.co/96xCJBjYAh
We are excited to announce that we have partnered with @_inception_ai to make Mercury 2 available on Baseten. This makes us the first inference platform to bring Inception’s diffusion LLM to production. Inception’s dLLM architecture fixes the bottlenecks of sequential token https://t.co/DqwV7lc9p7
Congrats to the MiniMax team on the open-source launch of M3! There are very few <500bn parameter models that can tackle coding, agentic workloads, and multimodal all with a 1M-token context window but M3 does it all. Dig in here: https://t.co/KL4d2rAYPQ https://t.co/57gYFYdfRr
