Topic
Hyperscale
A collection of 55 issues
More than AI Recalibration Behind Layoffs at Google and Microsoft
I promised yesterday that I would deliver this post today. That's one promise kept. If somebody let you down today, it wasn't me.
Back in the sepia-toned days of my early career – when I wore a zoot suit, a skinny tie, and a gangsterish fedora on
A Brief but Terrifying Nightmare on Wall Street
I could have written about any of dozens of topics today. I was tempted, after reading for the second time Julian Barnes’ Nothing to be Frightened Of, a meditation on death and dying, to plump for death – as a subject of discourse, you understand, not as a final existential act.
Cisco Touts Brighter Future Amid Current Travails
Despite Challenges and Executive Departures, Arista Reassures Market with Results and Guidance
Market Frenzy Pressures AI Engineers to Burnout and Despair
You may have heard that we’re in the midst of an AI market frenzy. You might choose to call it an AI gold rush, or, if you’re less favorably disposed, an AI mania. Whatever you choose to call what’s happening today, I think we can all agree
Parsing Juniper’s Reticent Quarterly Results
AI’s Runaway Capex Raises Questions, Signifies Big Changes Ahead
Alphabet (Google), Microsoft, and Meta were among the companies posting quarterly financial results this week. (Amazon will report next week.) The market responded enthusiastically to results from Google and Microsoft, but Meta’s results aroused ambivalence followed by deep concern.
Beyond the respective revenues and earnings of the technology behemoths
The Datacenter Energy Crunch: More Opportunity Than Threat
Lately, I’ve spent some of my now-copious free time pondering the future of datacenters, suddenly pressured by AI to quicken their evolutionary pace. As you may have heard, AI is notorious for its voracious appetite for energy and its unquenchable thirst for water.
Today’s post is relatively brief,
Big Tech Sheds Office Space, Intensifying a Trend with Other Tech Consequences
When reading articles and doing research, the goal is obviously to clearly understand the information you receive. If you’re serious about learning and gaining knowledge, however, you also consider what the information implies but not does state expressly. You take in the information in front of you, of course,