Introducing Reflection Beam: an open-weight model for agentic coding on AWS
Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernetes-native control over distributed GPU infrastructure.
What happened
Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernetes-native control over distributed GPU infrastructure.
Why it matters
The development may change operating conditions or market expectations around Amazon. Further confirmation and measurable outcomes matter.
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1 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%Introducing Reflection Beam: an open-weight model for agentic coding on AWS ↗
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- Introducing Reflection Beam: an open-weight model for agentic coding on AWS Observed
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- First reported
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