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P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM

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EAGLE is the state-of-the-art method for speculative decoding in large language model (LLM) inference, but its autoregressive drafting creates a hidden bottleneck: the more...

Secure AI agents with Policy in Amazon Bedrock AgentCore

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Deploying AI agents safely in regulated industries is challenging. Without proper boundaries, agents that access sensitive data or execute transactions can pose significant security...

Improve operational visibility for inference workloads on Amazon Bedrock with new...

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As organizations scale their generative AI workloads on Amazon Bedrock, operational visibility into inference performance and resource consumption becomes critical. Teams running latency-sensitive applications...

Into the Omniverse: How Industrial AI and Digital Twins Accelerate Design,...

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Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows...

Fine-tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation

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This post is a collaboration between AWS, NVIDIA and Heidi.  Automatic speech recognition (ASR), often called speech-to-text (STT) is becoming increasingly critical across industries like...

Multimodal embeddings at scale: AI data lake for media and entertainment...

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This post shows you how to build a scalable multimodal video search system that enables natural language search across large video datasets using Amazon...

GeForce NOW Raises the Game at the Game Developers Conference

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GeForce NOW is bringing the game to the Game Developers Conference (GDC), running this week in San Francisco. While developers build the future of...

Operationalizing Agentic AI Part 1: A Stakeholder’s Guide

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Agentic AI isn’t a feature you turn on. It’s a shift in how work is defined, who does it, and how decisions get made. Most...

New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic...

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Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters designed to run complex agentic AI systems at...