Discover llm-d on AWS for efficient LLM inference. Boost performance, maximize GPU utilization, and cut costs with disaggregated serving, intelligent scheduling, and EFA-powered communication.
Amazon Bedrock launches Global cross-Region inference for Anthropic Claude models in India, offering enhanced scalability, reliability, and throughput for generative AI applications during peak demand.
Discover how AWS’s updated Large Model Inference (LMI) container enhances LLM performance and reduces costs with LMCache, EAGLE decoding, and improved LoRA support.
AWS re:Invent 2025 reveals new custom chips for performance and efficiency, alongside advanced AI services for developers and enterprises, driving cloud innovation.
AWS re:Invent 2025 is underway, showcasing major advancements in chips and AI services. Discover the latest innovations from Amazon Web Services this week.
Centralize and streamline multi-provider generative AI operations on AWS with the Generative AI Gateway. Enhance security, manage costs, and unify access to diverse AI models.
Discover AWS Professional Service Agents, an AI-powered consulting model accelerating enterprise solutions. Learn about features, benefits, and how agentic AI transforms cloud adoption.
Discover how Kitsa used Amazon Quick Automate to achieve 91% cost savings and 96% faster data acquisition in clinical trial site selection, leveraging generative AI for data extraction and compliance.
Implement a secure MLOps platform on AWS using Terraform for IaC and GitHub Actions for CI/CD. Leverages SageMaker Projects for automated ML lifecycle management across environments.
AWS enhances AI infrastructure with SageMaker HyperPod, a revolutionary 10p10u network fabric, and custom Trainium chips, enabling faster, more cost-effective model training and deployment at scale.
The information provided on this website is provided for entertainment purposes only. We make no representations or warranties, expressed or implied, about the information. This includes its completeness, accuracy, adequacy, legality, usefulness, reliability, suitability, and availability. We also make no claims about anything else. Any reliance you place on the information is strictly your own responsibility. We accept payment from advertisers and sponsors with relevant ads. We may recommend products on our website and get paid to advertise them. You can find additional terms in the terms of use.
