Intel’s latest server silicon, the Xeon 678X Granite Rapids‑WS, pushes the envelope with 48 physical cores and full hyper‑threading for a total of 96 logical threads while drawing 300 W. Phoronix’s early testing shows the chip delivering solid scaling in multi‑threaded workloads, suggesting it could be a viable alternative for AI training nodes that can tolerate higher power draw.\n\nOn the software side, LiquidAI announced LFM2.5‑DSpark, a new inference engine that claims up to 3.2× faster throughput compared with existing pipelines on identical hardware. The lab‑news post backs the claim with benchmark tables, but real‑world validation will be needed to confirm whether the gains hold across diverse model families.\n\nMeanwhile, Anthropic’s recent short about a universal text watermark raises eyebrows. The claim that the watermark survives copy‑paste, edits, and re‑generation is unsubstantiated, and without a white‑paper or demo the promise remains speculative.\n\nOperators must weigh the Xeon 678X’s power envelope against its performance uplift and decide if the projected inference gains from LFM2.5‑DSpark justify integrating a new software stack. Will data‑center budgets accommodate the 300 W TDP, or will efficiency‑focused alternatives retain the edge?
Composed by the MadCoolStuff editor pipeline · Groq · openai/gpt-oss-120b · 2026-08-21