MarketWatch

A2A Protocol Surpasses 150 Organizations, Lands in Major Cloud Platforms, and Sees Enterprise Production Use in First Year

SAN FRANCISCO, April 9, 2026 /PRNewswire/ -- The A2A (Agent-to-Agent) Protocol project, hosted by the Linux Foundation, today announced major adoption milestones at its one-year mark, with more than ...
Communications of the ACMOpinion

The Golden Rule of Big Memory: Persistence Is Not Harmful

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...
IEEE

vDSM: Distributed Shared Memory in Virtualized Environments

Abstract: Despite the prevalence and popularity of distributed frameworks, traditional clusters that can provide a single system image (SSI)are still of great importance since their programming model ...
GitHub

tutorial_mnist_distributed.py

where CUDA_VISIBLE_DEVICES can be used to set the GPUs the process can use. CUDA_VISIBLE_DEVICES= TF_CONFIG='{"cluster": {"ps": ["127.0.0.1:3001"], "worker": ["127.0 ...
marktechpost

How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations

In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground up. We set up the repository, configure an OpenAI-powered agent ...
marktechpost

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We begin by setting up ...
GitHub

tutorial_imagenet_inceptionV3_distributed.py

"""Example of training an Inception V3 model with ImageNet. from tensorflow.python.training import session_run_hook from tensorflow.python.training.basic_session_run_hooks import StopAtStepHook from ...