Speed up your AI inference workloads with new NVIDIA-powered capabilities in Amazon SageMaker
This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At re:Invent 2024, we ...
Tag: workloads
FastSwitch: A breakthrough in handling complex LLM workloads with improved token generation and priority-based resource management
Large language models (LLMs) have transformed artificial intelligence applications, powering tasks such as language translation, virtual assistants, and code generation. ...
Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments
Cloud costs can significantly impact your business operations. Gaining real-time visibility into infrastructure expenses, usage patterns, and cost drivers is ...
Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS
In today’s rapidly evolving landscape of artificial intelligence (ai), training large language models (LLMs) poses significant challenges. These models often ...
Designing Generative AI Workloads for Resilience
Resiliency plays a critical role in the development of any workload, and generative ai workloads are no different. There are ...
This AI article introduces Relax: a compiler abstraction for optimizing dynamic end-to-end machine learning workloads
Optimizing machine learning models with dynamic shapes can be crucial to achieving better performance and flexibility. Dynamic shapes refer to ...
Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker
Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. ...
Optimize generative AI workloads for environmental sustainability
The adoption of generative ai is rapidly expanding, reaching an ever-growing number of industries and users worldwide. With the increasing ...
Aembit raises $16.6M to bring identity management to workloads
Ambita Maryland-based security startup that focuses on helping security and DevOps teams manage how federated workloads communicate with each other, ...
