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The Future of Serverless Inference for Large Language Models

Unite.AI

Selective Execution Rather than compressed models, these techniques selectively execute only parts of the model per inference: Sparse activations – Skipping computation on zero activations. In serverless architectures, LLMs are hosted on shared GPU clusters and allocated dynamically based on demand.

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By Jove, It’s No Myth: NVIDIA Triton Speeds Inference on Oracle Cloud

NVIDIA

So, when the software architect designed an AI inference platform to serve predictions for Oracle Cloud Infrastructure’s (OCI) Vision AI service, he picked NVIDIA Triton Inference Server. They’re building and using AI models of nearly every shape and size.

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How Mend.io unlocked hidden patterns in CVE data with Anthropic Claude on Amazon Bedrock

AWS Machine Learning Blog

These advanced generative AI models are great at understanding and analyzing vast amounts of text, making them the perfect tool for sifting through the flood of CVE reports to pinpoint those containing attack requirement details. As a Software Architect, Security Researcher, and conference speaker, he teaches Ruby, Rails, and Kafka.

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Exploring data using AI chat at Domo with Amazon Bedrock

AWS Machine Learning Blog

The AI Service Layer and its integration with Amazon Bedrock empower Domo to offer their customers the tools they need to harness AI throughout their organization, from data exploration using natural language-driven AI chat to custom applications and automations powered by a variety of AI models.