#distributed-computing

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fromInfoWorld
57 minutes ago

The quiet glory of REST and JSON

I've been writing code long enough to remember when computers had 5¼-inch floppy drives and exactly zero network cards. Connectivity was a 2400 baud modem talking to a local BBS via the plain old telephone system. The notion of two computers talking to each other was conceivable-but just the two. The Internet was just a twinkle in the eyes of a few DARPA engineers.
Software development
Artificial intelligence
fromInfoQ
2 days ago

PyTorch Foundation Welcomes Ray, Unveils Monarch for Simplified Distributed AI

PyTorch Foundation expanded its open AI infrastructure by hosting Ray and introducing PyTorch Monarch to simplify scalable distributed model development and deployment.
Startup companies
fromTechCrunch
1 month ago

The startup behind open source tool Polars raises $21M from Accel | TechCrunch

Polars raised €18 million to scale its Rust-based high-performance data processing platform, funding Polars Distributed and Polars Cloud for petabyte-scale workloads.
Science
fromIT Pro
2 months ago

From SETI to CERN: What you need to know about cluster computing and how it can help your enterprise

Cluster computing uses many networked ordinary computers coordinated by middleware to divide work, providing scalable, fault-tolerant high-performance computing for tasks like simulations and data analysis.
Web development
fromVue.js Jobs
2 months ago

Engineering Manager - Frontend at clockwork.io - VueJobs

Clockwork Systems is transforming distributed computing by delivering deterministic time and ultra-low latency for AI networking.
fromHackernoon
5 months ago

Dask & cuDF: Key to Distributed Computing in Data Science | HackerNoon

Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.
Data science
Artificial intelligence
fromWIRED
6 months ago

These Startups Are Building Advanced AI Models Without Data Centers

The launch of Collective-1 signifies a potential shift in how AI models are constructed, leveraging distributed resources and varied data sources.
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