AWS for Industries

Category: Amazon FSx for Lustre

How to expansively train Robot Learning by Customers on AWS using functions generated by Large Language Models

In the robotics industry, Reinforcement Learning (RL) is extensively utilized to address complex problems that traditional path planning algorithms cannot manage, especially those involving intricate manipulations. The reward function in RL is a critical component that establishes the objective and directs the agent’s learning process. Crafting an effective reward function is often challenging but essential […]

Building a generative AI reservoir simulation assistant with Stone Ridge Technology

In the field of reservoir simulation, accurate modeling is paramount for understanding and predicting the behavior of subsurface flow through geological formations. However, the complexities involved in creating, implementing, and optimizing these models often pose significant challenges, even for experienced professionals. Fortunately, the integration of artificial intelligence (AI) and large language models (LLMs) offers a […]

Flexible EDA licensing in AWS with Synopsys Cloud BYOC with FlexEDA

Electronic Design Automation (EDA) tools are critical for designing silicon chips. In the cloud, pay-per-use mechanisms are the norm, but this traditionally isn’t the case for EDA licensing which can limit organizations’ ability to scale EDA on AWS. Synopsys Cloud Bring Your Own Cloud (BYOC) with FlexEDA is a groundbreaking solution that addresses this need. […]

Accelerating Drug Discovery with high-throughput Cell Painting on AWS

Accelerating Drug Discovery with high-throughput Cell Painting on AWS

Are you facing challenges in cell image processing? Let’s dive into how life sciences customers have transformed cell analysis using AWS’s Cell Painting Batch solution. Introduction In the field of drug discovery, analyzing cell images from microscopes plays a major role. Cell Painting, an innovative approach for high-content screening, has emerged to understand cellular behaviors […]

Siemens EDA’s Calibre nmDRC on Amazon EC2 X2iezn achieves high-performance and resource savings

Introduction This blog will help you understand how you can utilize Amazon EC2 X2iezn instances to expedite the semiconductor physical verification process using Calibre Physical Verification tools from Siemens EDA. As semiconductor devices increase in density and complexity, the physical verification phase of the chip design process requires compute nodes with increasingly high memory-to-core ratio, […]

How NXP is Moving Chip Design to AWS

In 2021, NXP selected AWS as its preferred cloud partner to migrate the vast majority of its silicon design workloads from NXP data centers to AWS. The migration is well underway, and a number of teams have already taped out projects in their AWS cloud environment. In this blog post, we share more about NXP’s […]

Visit AWS at DAC 2021

Design Automation Conference | Dec 5 – 9, 2021| Moscone West, San Francisco, CA The 2021 Design Automation Conference (DAC) is right around the corner! Join AWS at this year’s event located in the Moscone West, San Francisco, CA. We invite you to visit the AWS Booth #1252 and meet with our team of onsite […]

Turning Price/Performance Upside Down: Ansys RedHawk-SC™ and Amazon Web Services

Introduction This blog discusses the insights Ansys and AWS were able to gain by scaling Ansys RedHawk-SC on the AWS Cloud. The joint investigation outlines how to right-size AWS compute and storage resource for optimal price/performance results while running at scale. By combining the capabilities of Ansys RedHawk-SC with being able to scale compute resources […]