At Snap Inc., the company behind Snapchat, cost is an important factor in every infrastructure decision. With research scientists and machine learning (ML) engineers working across a wide gamut of projects, from large language models to …
Read More
This post was contributed by Charlie Chuang, Madhu Vellakal, and Charunethran Panchalam Govindarajan. Since launching Research and Engineering Studio on AWS (RES), we have helped customers stand up self-service portals for research, …
Read More
Quantum computers promise to solve problems beyond the reach of classical machines, but they share a stubborn adversary: noise. Quantum bits (qubits) are exquisitely sensitive to their environment, gates are imperfect, measurements …
Read More
This post was contributed by Federico Hernán Holik, Andrés Camilo Granda Arango, Carlo Cuccu, Roberto Giuntini, Giuseppe Sergioli, Peter Komar, and Ishaan Pakrasi. Quantum physics produces correlations that no classical theory can …
Read More
When running large language model (LLM) inference at scale on AWS, the GPU might not be the only thing that limits you. The GPU generates tokens fast, but what then contributes to performance is everything around it: memory, storage, and …
Read More
Run an application on AWS Elastic Beanstalk Cluster Mode without provisioning or operating the compute underneath it. You provide a container image or source code; Elastic Beanstalk with service-operated compute creates and operates the …
Read More
AWS introduces new low-cost burstable Amazon EC2 T8i instances powered by custom sixth generation Intel Xeon Scalable Processors (Granite Rapids), available only on AWS. T8i instances are among the lowest-cost EC2 instances and deliver up …
Read More
As more organizations move to remote and distributed work, builders and development teams face growing challenges in sharing files securely. Without a central file system, these teams deal with version control problems, unclear access …
Read More