Allow Amazon Bedrock cross-Area inference in multi-account environments
Amazon Bedrock cross-Area inference functionality that gives organizations with flexibility to entry basis fashions (FMs) throughout AWS Areas whereas sustaining ...
Tag: Inference
How GoDaddy constructed a class era system at scale with batch inference for Amazon Bedrock
This submit was co-written with Vishal Singh, Information Engineering Chief at Information & Analytics staff of GoDaddy Generative AI options ...
Deploy DeepSeek-R1 distilled fashions on Amazon SageMaker utilizing a Massive Mannequin Inference container
DeepSeek-R1 is a big language mannequin (LLM) developed by DeepSeek AI that makes use of reinforcement studying to reinforce reasoning ...
Scale back conversational AI response time by way of inference on the edge with AWS Native Zones
Latest advances in generative AI have led to the proliferation of latest era of conversational AI assistants powered by basis ...
Obtain ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI
This weblog put up is co-written with Moran Beladev, Manos Stergiadis, and Ilya Gusev from Reserving.com. Massive language fashions (LLMs) ...
Optimizing AI responsiveness: A sensible information to Amazon Bedrock latency-optimized inference
In manufacturing generative AI functions, responsiveness is simply as essential because the intelligence behind the mannequin. Whether or not it’s ...
Create a SageMaker inference endpoint with customized mannequin & prolonged container
Amazon SageMaker supplies a seamless expertise for constructing, coaching, and deploying machine studying (ML) fashions at scale. Though SageMaker gives ...
Unlock cost-effective AI inference utilizing Amazon Bedrock serverless capabilities with an Amazon SageMaker educated mannequin
On this put up, I’ll present you the best way to use Amazon Bedrock—with its totally managed, on-demand API—along with ...
Combining Massive and Small LLMs to Enhance Inference Time and High quality | by Richa Gadgil | Dec, 2024
Implementing Speculative and Contrastive DecodingMassive Language fashions are comprised of billions of parameters (weights). For every phrase it generates, the ...
Velocity up your AI inference workloads with new NVIDIA-powered capabilities in Amazon SageMaker
This put up is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At re:Invent 2024, ...
