@intel x @foxconnoficial
Hon Hai Technology Group Announces Strategic Collaboration with Intel to Advance Next-Generation AI Rack, Edge AI, and Physical AI Platforms: https://t.co/GS8ZQ9O6HO
Vector Core Compute, a new enterprise inference cloud formed by @Vista_Equity and Cambium Capital, unveil fully disaggregated inference running on Intel Xeon processors and @SambaNovaAI RDUs
@RFS_Vista at Computex
https://t.co/oxDzbK97wA
Countdown is on—4 hours 40 minutes until @intel CEO @LipBuTan1 is live from COMPUTEX 2026.
Tune in. 💪 June 2, 1:30 p.m. (GMT+8) - https://t.co/UW3b6g088O
Great read. I had the opportunity to tour the Rio Rancho fabs at the time - the observation of a shared customer-first mentality is right on point.
https://t.co/uK0PnHPHdE
Where the world’s most advanced chips are built matters.
The latest from @USATODAY highlights semiconductor innovation, resilient supply chains, and the future of computing.
Featuring insights from Intel Foundry leadership and industry analysts: https://t.co/qkxXfHjtmW
#IntelFoundry #Semiconductors
AI infrastructure is shifting as growth in inference workload and reinforcement learning drive higher CPU:GPU ratios, increasing the importance of CPU capacity for orchestration, simulation, and efficient utilization of large GPUs. Recently, I went on a tour through our @Intel D2 data center.
The paper below explores two primary market trends and workload architectures that are driving increased demand for CPUs, relative to GPUs for AI implementations:
1) Accelerated AI inferencing workload growth. A higher CPU:GPU ratio is required for inferencing workloads compared to training workloads—especially as agentic AI becomes prevalent across multiple industries.
2) The renaissance of RL. RL has matured from a video game niche to complex 3D simulation environments (such as robotics, precision medicine, and algorithmic trading) that require high numbers of CPUs.
Read More 🔗: https://t.co/SkzquFicLV
AI made it easy to spin up GTM copy, landing pages, and launch assets in minutes. The problem is everyone else can too.
The result is homogenous playbooks, identical language, and brands that feel the same.
I think we’ll see a real swing back to human led content and strong writing skills in GTM. AI can handle the bulk work, but voice, point of view, and narrative are going to matter more, not less.
If every model can publish, the advantage shifts from how much you say to how only you could have said it.
Proud to partner with @McLarenF1 and @ArrowMcLaren as Official Compute Partner. More than technology—this is where storytelling, innovation, and performance come together. LFG!
@intel
Intel is proud to be the Official Compute Partner of @McLarenF1.
From factory to circuit, advanced computing and engineering turn complex challenges into advantages at every turn.
Learn more: https://t.co/niboDXRlox
#McLaren#IntelMcLaren