P-EAGLE: Parallel Speculation for Faster LLM Inference on AWS SageMaker

16. June 2026
AI Models, Claude Code

AWS has developed P-EAGLE, a parallelized variant of speculative decoding that generates draft tokens in a single forward pass instead of sequentially, achieving inference throughput improvements of up to 1.69x on SageMaker AI.

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REST-API Proxy for Secure Access to Amazon SageMaker MLflow

31. May 2026
Claude Code, Cybersecurity

A Flask-based REST-API proxy solution enables enterprises to securely access Amazon SageMaker MLflow via HTTPS without direct SDK usage, combining an Application Load Balancer, a Flask proxy service, and SageMaker MLflow to meet enterprise-wide security and infrastructure requirements.

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Building a Custom Portal with Embedded Amazon SageMaker AI MLflow App

31. May 2026
AI Models, Claude Code

A custom portal with embedded MLflow UI provides ML teams a persistent bookmarkable URL for experiment tracking, combining a React frontend, Flask reverse proxy with AWS SigV4 authentication, and Application Load Balancer for secure, centralized access management via SSO integration.

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P-EAGLE: Parallel Speculation for Faster LLM Inference on AWS SageMaker

Building a Custom Portal with Embedded Amazon SageMaker AI MLflow App

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