Latest articles on AI, technology, and software development.
Modders reverse-engineered Nvidia's DLSS 5 Multi Frame Generation and got it running on Ada, Ampere, and even Turing GPUs — proving the Blackwell-only lock was mostly a software decision.
Universal Chiplet Interconnect Express turns AMD's chiplet trick into a multi-vendor standard, and yield economics on N3-and-below nodes are forcing the rest of the industry to follow.
Chip supply stopped being the binding constraint on AI datacenter buildout in 2026. Grid interconnection queues, power delivery, and cooling now decide how fast a cluster can actually be switched on.
Native CXL 3.0 support in new server CPUs is turning memory into a shared, poolable resource — and early deployments report 30-50% higher VM density.
HBM4 mass production starts late 2026, but SK Hynix already warns the shortage could last past 2030. The bottleneck in AI hardware has quietly shifted from GPU logic to memory bandwidth.
RISC-V crossed 25 percent global market share in 2026 by winning the parts of computing nobody was fighting over: microcontrollers, embedded systems, and now automotive silicon.
Hyperscalers are retiring H100s and A100s on 18-36 month cycles instead of the traditional five years, and the specialized recycling infrastructure GPUs need hasn't caught up.
Compute Express Link 3.0 fabric switches are now shipping in production colocation environments, letting operators pool DRAM across hosts instead of stranding it inside individual servers.
Intel, Samsung, and Absolics are racing to commercialize glass substrates that solve the warpage and density limits organic packaging can no longer handle at AI-chip scale.
AWS Graviton5, Google Axion, and Microsoft Cobalt now make up close to half of new hyperscaler compute capacity, and the shift away from x86 has stopped being just a cost play.
AMD's new Robotics Partner Network charges no licensing or membership fees across all four tiers. That is not generosity — it is a bet that silicon attach rate matters more than software lock-in in physical AI.
AI clusters now move data faster than copper wiring can physically handle. Silicon photonics and co-packaged optics are shipping in 2026 to fix that — here's what's actually changing and why it matters for anyone running or buying AI compute.