ZDNet

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...
insideHPC

Parallel Computing in Python: Current State and Recent Advances

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...
TechCrunch

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z

Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and ...
Nasdaq

MicroAlgo Inc. Develops Multi-Simulator Collaborative Algorithm Based on Subgraph Isomorphism to Enhance Quantum Computer Performance Using Distributed Computing Advantages

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...
CoinTelegraph

What are distributed systems, and how do they work?

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...