Amazon SageMaker HyperPod Inference

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Introducing Reflection Beam: an open-weight model for agentic coding on AWS Amazon Web Services · 11 hours ago · 48

Timeline

Month Quarter Year

October 2026

Reflection AI releases Beam, an Apache 2.0 open-weight 501B-parameter Mixture-of-Experts LLM with deployment options on Hugging Face and AWS Open source release

16 Oct Introducing Reflection Beam: an open-weight model for agentic coding on AWS

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Products & technology

Integrated with SGLang · 1 source
Integrated with vLLM · 1 source
Integrated with Kubernetes · 1 source
Beam deploys this tool · 1 source

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TLDRocket 17 October 2026

Microsoft used today’s announcement to zoom in on what matters in scaling: not just raw capability, but the plumbing behind it. The company revealed MAI-Base-2, a 2T-parameter base model designed to be converted into full LLMs with additional training. Per Microsoft, only 80B parameters activate per prompt, and the training run ate 50T tokens over 38 days using 16,000 Nvidia GB200 GPUs. The headline claim: MAI-Base-2 is up to 12× more hardware-efficient than its predecessors, a metric that will matter to anyone trying to keep inference costs from swallowing margin.

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