AWS for Industries

Category: Amazon EC2

Surgical Intelligence Engine with AWS and NVIDIA — Edge-to-Cloud Technology for Med Techs

Edge-to-Cloud Architecture for Real-Time Surgical Intelligence with AWS and NVIDIA

Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.

Rivian accelerates production with second-generation AWS Outposts: Improving resiliency and reducing costs

Rivian accelerates production with second-generation AWS Outposts: Improving resiliency and reducing costs

In this blog post, we show how Rivian, a leading innovator in the electric vehicle market, is using this feature to support modern containerized workloads and highly available database architectures for their critical manufacturing workloads at the edge.

Accelerating Android Builds on AWS: From 3 Hours to Under 5 Minutes with SourceFS

Accelerating Android Builds on AWS: From 3 Hours to Under 5 Minutes with SourceFS

In this post, we explore how SourceFS from Source.dev, running on AWS, transforms the AOSP build experience – reducing end-to-end checkout-and-build time from 3 hours to under 5 minutes. We highlight how leading automotive OEMs are achieving material gains in build velocity, cost efficiency and developer productivity by using SourceFS.

Liftoff improved conversion performance and reduced infrastructure costs with Cortex using AWS Graviton

How Liftoff improved conversion performance and reduced infrastructure costs with Cortex using AWS Graviton

In this blog we explore how Liftoff built and scaled Cortex, their AI-powered growth platform, on AWS using the latest neural network technology and AWS Graviton Processors. We discuss how Cortex addresses the challenges of training hundreds of models per day, with over 1 Petabyte of new data daily. All, while lowering infrastructure costs and improving customer performances.

How TripleLift optimized real-time bidding with custom load balancing, Spot, and Graviton

How TripleLift optimized real-time bidding with custom load balancing, Spot, and Graviton

TripleLift is a digital advertising company reinventing ad placements at the intersection of creative, media, and data. Its marketplace serves the world’s leading brands, publishers, streaming companies, and demand-side platforms, propelling TripleLift to execute over 7 trillion ad transactions monthly through their real-time bidding (RTB) service. Customers choose TripleLift because of its addressable offerings—from native […]

Building an End-to-End Physical AI Data Pipeline for Autonomous Vehicle 3.0 on AWS with NVIDIA

Building an End-to-End Physical AI Data Pipeline for Autonomous Vehicle 3.0 on AWS with NVIDIA

Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]