Topic: inferentia Goto Github
Some thing interesting about inferentia
Some thing interesting about inferentia
inferentia,CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemaker
Organization: aws-samples
inferentia,Collection of bet practices, reference architectures, examples, and utilities for foundation model development and deployment on AWS.
Organization: aws-samples
inferentia,Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Organization: aws-samples
Home Page: https://aws-samples.github.io/foundation-model-benchmarking-tool/
inferentia,This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
Organization: aws-solutions-library-samples
inferentia,This repository provides an easy hands-on way to get started with AWS Inferentia. A demonstration of this hands-on can be seen in the AWS Innovate 2023 - AIML Edition session.
User: daekeun-ml
inferentia,Sentence Transformers on EC2 Inf1
User: darksector
inferentia,PygmalionAI's large-scale inference engine
Organization: pygmalionai
Home Page: https://pygmalion.chat
inferentia,A high-throughput and memory-efficient inference and serving engine for LLMs
Organization: vllm-project
Home Page: https://docs.vllm.ai
inferentia,Deploy Large Models on AWS Inferentia (Inf2) instances.
User: windson
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