Author: Jeff Barr

After 20 years, and 3283 posts adding up to 1,577,106 words I am wrapping up my time as the lead blogger on the AWS News Blog. It has been a privilege to be able to “live in the future” and to get to learn and write about so many of our innovations over the last […]

Accelerate genomics, multimedia, big data, networking, and more with up to 192 vCPUs, 8 FPGAs, 2TiB memory, and 100Gbps network – outpacing CPUs by up to 95x.

Amazon commits $100M to empower education equity initiatives, enabling socially-minded organizations to create AI-powered digital learning solutions. This aims to reach underserved students globally through innovative platforms, apps, and assistants.

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.

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.

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.

Delivering NAS capabilities with automatic data tiering among frequently accessed, infrequent, and archival storage tiers, Amazon FSx Intelligent-Tiering offers high performance up to 400K IOPS, 20 GB/s throughput, seamless integration with AWS services.

Orchestrate hybrid workflows accessing private HTTPS endpoints – no more Lambda/SQS workarounds. EventBridge and Step Functions natively support private resources, simplifying cloud modernization.