Tag: Amazon Sagemaker

GPT, or Generative Pre-trained Transformer, is a language model that has shown remarkable progress in various vertical industries. This technology has been used to generate human-like text in fields such as finance, healthcare, legal, marketing, and many others. In finance, GPT is being used to analyze financial data, generate reports, and assist with decision-making. In […]

The rapid maturation of cloud tools for high-performance workloads in the past several years has made it possible for household names like T-Mobile, Toyota, and Rivian to move their high-performance analytics and AI/ML environments to the cloud. These are hugely data-intensive workflows that many companies five years ago believed would never be able to be […]

NRGene develops cutting-edge genomic analytics products that are reshaping agriculture worldwide. Among our customers are some of the biggest and most sophisticated companies in seed-development, food and beverages, paper, rubber, cannabis, and more. In the middle of 2020, NRGene joined a consortium of companies and academic institutions to build the best-in-class gene-editing prediction platform to […]

Organizations are modernizing their applications by adopting containers and microservices-based architectures. Many customers are deploying high-performance workloads on containers to power microservices architecture, and require access to low latency and high throughput shared storage from these containers. Because containers are transient in nature, these long-running applications require data to be stored in durable storage. Amazon FSx […]

Deploying analytics applications and machine learning models requires storage that can scale in capacity and performance to handle workload demands with high throughput and low-latency file operations. A common use case we’re seeing centers around data science teams doing some form of analytics (e.g machine learning, genomics). AWS offers two scalable, durable, highly available file […]