The gathering grows. @bneyshabur, co-founder and CEO of @mirendil, is speaking at All-Gather!
We've been overwhelmed (in the best way) by how many of you have applied. Our team is reading every application and we can't wait to see you there.
Seats are extremely limited, but if
We are thrilled to serve @reflection_ai's first open-weight model, Beam, on day 0.
At 500B parameters, Beam is optimized for the frontier workloads in the enterprise today: writing and maintaining code, executing long-horizon, multi-step tasks with tools.
Check it out on
Both of the new PhoneLLM models (30B and 120B, optimized for conversational voice AI) are available as one-click deploys from our Model Library.
Another great example of the impact of fine-tuning open-weight models (Nemotron in this case).
Fast is better than slow.
We've got two new PhoneLLM models optimized for conversational voice AI.
PhoneLLM Mini (30B) — When you need the lowest possible latency (sub-100ms TTFAT), smallest model size, and lowest cost. Good multi-turn conversation behavior and tool-calling
We’re excited to serve Muse Spark Open, @Meta's latest open-weight model, on day 0!
• 816B-parameter MoE, 42B active
• Built for coding and agentic work
• Text, image, video, and audio input
• 1M token context window
Try it on Baseten Model APIs:
