What every IT generalist needs to know before deploying GPU workloads, and why the platform matters more than the hardware.

Former State Attorney General Álvaro García Ortiz has asked the Constitutional Court to annul the Supreme Court ruling that convicted him for leaking the confession of businessman Alberto González ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

AI hallucinations cost enterprises $67.4B in 2024. Forrester calculates that each enterprise employee costs approximately $14 ...

The bug was assigned CVE-2025-2135, and we successfully used it to pwn Google’s V8CTF as a zero-day. The root cause lies in TurboFan’s InferMapsUnsafe() function, which fails to handle aliasing when ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads. 2026 is predicted to be the year that ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...

Nvidia is not just a leader in training, but also in AI inference. AMD has carved out a nice niche in inference, and also has a nice agentic AI opportunity with its CPUs. Broadcom is set to benefit ...

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ASICs for AI hyperscalers. Arm Holdings should benefit immensely as inference ...

Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...