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Nintendo's latest sale is 'made possible' by the tariff refunds it's hoarding33m ago Meta Announces Muse AI Agent for Personal Tasks and Organization33m ago Instagram now lets you add tagged photos to your profile grid33m ago AI agents are flooding public services with new requests40m ago Apple’s first foldable is the iPhone Duo, and it costs $1,99940m ago An Anthropic researcher just quit, saying OpenAI and Anthropic are 'gambling with our lives'42m ago Anthropic Is Building a Huge Surveillance System to Spy on Anti-AI Activists and Predict Their Activities50m ago Antioch raises $32m to test robots in simulation before they touch hardware58m ago OpenAI’s Bubeck denies trying to cut Anthropic mathematician from credit1h ago 10 of the scariest AI villains in movie history1h ago Maven Robotics wants to steal your robot deployment deal1h ago Agent Security Is Not AI Governance: Why Conflating The Two Is A Risk Enterprises Can't Afford1h ago Positron Valued at $5 Billion in New Funding as Demand for AI Chips Surges1h ago 7 Steps to Become a Forward Deployed Engineer in 20262h ago

LLM & Text Generation

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

AWS BlogPublished Jun 16, 2026

Amazon SageMaker AI introduces P-EAGLE, a new method to parallelize speculative decoding, enhancing the efficiency of large language model inference by reducing latency and computational costs.

#amazon-sagemaker-ai #inference-optimization #large-language-models #p-eagle #speculative-decoding

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