Quantum networks are often described as the future of the internet — but instead of transmitting classical information in bits, they send quantum information carried by photons. These networks could enable ultra-secure communication, link together distant quantum computers into a single, vastly more powerful machine, and create precision sensing systemsContinue Reading
Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agentsContinue Reading
Amazon SageMaker HyperPod is designed to support large-scale machine learning (ML) operations, providing a robust environment for training foundation models (FMs) over extended periods. Multiple users — such as ML researchers, software engineers, data scientists, and cluster administrators — can work concurrently on the same cluster, each managing their ownContinue Reading
Implementing hardware resiliency in your training infrastructure is crucial to mitigating risks and enabling uninterrupted model training. By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the trainingContinue Reading
Santa Clara, USA, July 1st, 2024, Chainwire New Initiative to Scale Network and Reward Node Operators with Airdrops and Voting RightsCARV, the largest modular data layer for gaming and AI, today announces the launch of its Alphanet, run by the 38,000 verifier nodes distributed to its community worth $35M. ThisContinue Reading
