How Cisco accelerated the use of generative AI with Amazon SageMaker Inference
This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of ...
Tag: inference
Cisco logra una mejora de latencia del 50 % con la función de escalado automático más rápida de Amazon SageMaker Inference
Esta publicación está coescrita con Travis Mehlinger y Karthik Raghunathan de Cisco. Webex Cisco es un proveedor líder de soluciones ...
LLM in a snap: Efficient inference of large language models with limited memory
This article was accepted at ACL 2024 Large language models (LLMs) are fundamental to modern natural language processing, offering exceptional ...
Inference AudioCraft MusicGen models using Amazon SageMaker
Music generation models have emerged as powerful tools that transform natural language text into musical compositions. Originating from advancements in ...
LazyLLM: Dynamic token pruning for efficient LLM inference in long contexts
This article was accepted at the Workshop on Efficient Systems for Foundation Models at ICML 2024 Inference of large transformer-based ...
This paper on AI from China introduces KV cache optimization techniques for efficient inference of large language models
Large language models (LLMs) are a subset of artificial intelligence that focuses on understanding and generating human language. These models ...
Amazon SageMaker inference launches faster auto scaling for generative AI models
Today, we are excited to announce a new capability in amazon SageMaker inference that can help you reduce the time ...
Achieve up to ~2x performance and reduce costs by up to ~50% for generative AI inference on Amazon SageMaker with the new Inference Optimization Toolkit (Part 2)
As generative artificial intelligence (ai) inference becomes increasingly critical for businesses, customers are looking for ways to scale their generative ...
Accelerated PyTorch Inference with Torch.compile on AWS Graviton Processors
Originally, PyTorch used an eager mode where each PyTorch operation that forms the model is executed independently as soon as ...
Benchmarking LLM Inference Backends | by Sean Sheng | Jun, 2024
Comparing Llama 3 serving performance on vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGIChoosing the right inference backend for serving large language ...
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