Please turn JavaScript on

Tech News

Subscribe to Tech News’s news feed.

Click on “Follow” and decide if you want to get news from Tech News via RSS, as email newsletter, via mobile or on your personal news page.

Subscription to Tech News comes without risk as you can unsubscribe instantly at any time.

You can also filter the feed to your needs via topics and keywords so that you only receive the news from Tech News which you are really interested in. Click on the blue “Filter” button below to get started.

Website title: Home - Tech News

Is this your feed? Claim it!

Publisher:  Unclaimed!
Message frequency:  3.77 / week

Message History

Cloudflare, Akamai, and Fastly reported their Q3 2025 earnings recently, and the results confirm a definitive shift in the digital landscape. While these three remain the “Big Three” public CDNs, they are no more pure-play CDNs than Coreweave is a simple “neocloud.”

All three have evolved significantly; content delivery i...


Read full story

Imagine you’re building a massive supercomputer, not with one or two powerful processors, but with tens of thousands of Graphics Processing Units (GPUs) working in perfect unison. This isn’t science fiction; it’s the reality for companies like OpenAI, Meta, and Google, who are constructing colossal “GPU server farms


Read full story

When companies like OpenAI, Google, and Meta build their colossal AI models, they don’t just buy a few powerful GPUs. They construct massive “GPU server farms,” intricate clusters spanning dozens, hundreds, or even thousands of interconnected GPUs. In these high-stakes environments, where every millisecond of data transfer impact...


Read full story

Remember the early days of AutoML? Around 2018-2020, the promise was intoxicating: a single line of code could automate feature engineering, model selection, and hyperparameter tuning, potentially rendering data scientists obsolete. Every major tech company, from Google to Amazon, was releasing an “Auto” version ...


Read full story

In the mid-2010s, a small team at Google developed Autograd as an experiment in making automatic differentiation easier to use in Python. It quickly gained traction in research circles because it was simple, flexible, and well-suited to exploratory work. As machine learning systems grew larger and performance demands increased, h...


Read full story