The answer runs back to a decision most coverage treated as an embarrassment at the time. LinkedIn announced in 2019 that it would migrate its infrastructure onto Azure under a project codenamed Blueshift. In 2022, it quietly shelved that plan. An internal memo at the time cited Azure's own demand pressures and said LinkedIn would focus on scaling its on-premises infrastructure instead; subsequent reporting established that the migration had also run into difficulties because LinkedIn's in-house tooling did not transfer cleanly to Azure. LinkedIn instead committed to its own data centers in Or
LinkedIn says it won't be spending big on AI hardware this year — but it has a good reason why… BFSIs must invest in resilient digital foundations which should include: 1/ AI-optimized infrastructure consists of various tech provisions including GPUs, AI-specific silicon, and in-memory data processing to support large-scale Agentic AI operations. …
… Consequently, brokers need clean data to execute in the Age of AI. AI-driven systems need data that delivers context When it comes to data, context is the key to AI’s effectiveness. Accessing data is not enough. AI systems need to understand data. …
… Inside Oracle's massive AI strategy In a filing, the company noted that the layoffs had been impacted by various factors, including management and product changes, performance issues, other strategic shifts and business acquisitions. …
… If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit TOPICS Darren Guccione LATEST ARTICLES 1 Experts say some job-search platforms are stealing personal data from job seekers 2 AMD launches misguided marketing campaign to take down the …
LinkedIn will hold GPU investment and its compute and storage footprint flat rather than expanding its AI data centers The company says it roughly doubled the efficiency of its existing GPUs in six months through accumulated improvements to utilization, model distillation, and workload allocation, … …
… Looking ahead, what trends are you watching most closely across AI infrastructure and inference over the next 12–24 months? The buildout happening inside existing infrastructure keeps accelerating. Most enterprises, telcos, and governments aren’t waiting for new data centers. …
… CATEGORIES Desire Athow Managing Editor, TechRadar Pro With contributions from Craig Hale LATEST ARTICLES 1 'The lines between work and personal time have become increasingly blurred': Report claims UK workers are among the most "always-on" in the world — even when sick 2 Bad news — paying a ransom… …
… Aatif Sulleyman Back To Top LATEST ARTICLES 1 Experts say some job-search platforms are stealing personal data from job seekers 2 AMD launches misguided marketing campaign to take down the MacBook Neo 3 AI is rapidly reshaping the skills employers want most from workers 4 Roku Users Express Concern…