AWS News Blog
Category: News
Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)
Easily transfer knowledge from a large, complex model to a smaller one.
Introducing queryable object metadata for Amazon S3 buckets (preview)
Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.
New Amazon S3 Tables: Storage optimized for analytics workloads
Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.
Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available
With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, these instances deliver unprecedented compute power for ML training and gen AI.
New Amazon EC2 P5en instances with NVIDIA H200 Tensor Core GPUs and EFAv3 networking
Amazon EC2 P5en instances deliver up to 3,200 Gbps network bandwidth with EFAv3 for accelerating deep learning, generative AI, and HPC workloads with unmatched efficiency.
Top announcements of AWS re:Invent 2024
Don’t miss our summary of the biggest announcements from this year’s flagship conference, which took place Dec. 2-6, 2024 in Las Vegas, Nevada.
Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security
AWS extends GuardDuty with AI/ML capabilities to detect complex attack sequences across workloads, applications, and data, correlating multiple security signals over time for proactive cloud security.
Container Insights with enhanced observability now available in Amazon ECS
With granular visibility into container workloads, CloudWatch Container Insights with enhanced observability for Amazon ECS enables proactive monitoring and faster troubleshooting, enhancing observability and improving application performance.