---
title: "Silicon & Systems — June 9, 2026"
description: "Intel Foundry gains momentum: Google reportedly orders 3M TPUs through 2028, NVIDIA evaluates Intel 18A for Feynman multi-die GPU; NVIDIA and SK hynix a…"
canonical_url: "https://artificialcuriositylabs.ai/daily/silicon-systems/2026-06-09/"
md_url: "https://artificialcuriositylabs.ai/daily/silicon-systems/2026-06-09.md"
published_at: "2026-06-09T00:00:00.000Z"
beat: "silicon-systems"
topics:
  - "Intel"
  - "NVIDIA"
  - "Google"
  - "TPU"
  - "18A"
  - "foundry"
---

## The read

AI is electricity — literally and figuratively. Silicon supply sets the floor on inference economics; power and data center capacity set the ceiling. Track the physical stack not as separate coverage but as the mechanism behind why inference economics and inference access move.

## What moved

- **Intel Foundry gains momentum: Google reportedly orders 3M TPUs through 2028, NVIDIA evaluates Intel 18A for Feynman multi-die GPU** — [TrendForce](https://www.trendforce.com/news/2026/06/09/news-intel-foundry-gains-momentum-as-google-reportedly-orders-3m-tpus-nvidia-evaluates-18a-for-multi-die-gpu-design/)
  TrendForce reports Google has placed orders for more than 3 million TPU chips with Intel Foundry through 2028, representing roughly half of Google's projected 2028 TPU output; Google's TPU v8e (expected H2 2027) will use Intel EMIB packaging now at ~90% yield. Separately, NVIDIA is running early multi-project wafer feasibility tests on Intel's 18A process for a next-generation Feynman GPU design integrating four dies in a single package. Tesla is Intel Foundry's first confirmed 14A customer. TSMC remains NVIDIA's primary fab for current Rubin 3nm production. **Builder angle:** If NVIDIA qualifies Intel 18A for multi-die Feynman GPUs (~2028 horizon), it opens a second high-volume fab for leading-edge AI accelerators beyond TSMC CoWoS, potentially loosening the packaging bottleneck that currently constrains GPU supply.

- **NVIDIA and SK hynix announce multiyear technology partnership to advance memory for AI factories** — [NVIDIA Newsroom](https://nvidianews.nvidia.com/news/sk-hynix-ai-factory)
  NVIDIA and SK hynix announced a formal multiyear co-development partnership on June 7 covering next-generation DRAM and NAND for four platform categories: Vera Rubin AI supercomputers, Vera CPUs, RTX Spark PCs, and Jetson Thor robotics. The companies will use CUDA-X, PhysicsNeMo, and Omniverse to accelerate SK hynix's chip design simulation and to build autonomous digital-twin fabs. No specific supply volumes were disclosed, but the agreement aligns SK hynix's memory roadmap to NVIDIA's long-term infrastructure timeline across AI, personal, and physical AI sectors. **Builder angle:** A formal NVIDIA–SK hynix roadmap lock-in means HBM and advanced DRAM development cycles will track NVIDIA's platform releases rather than open-market demand, narrowing spot-market allocation for buyers outside contracted hyperscalers.

- **NVIDIA Vera Rubin enters full production; Jensen Huang confirms all three HBM4 suppliers qualified for Q3 2026 customer shipments** — [TechTimes](https://www.techtimes.com/articles/317855/20260605/nvidia-vera-rubin-hbm4-jensen-huang-confirms-all-three-suppliers-production-q3-ship.htm)
  At GTC Taipei (June 1) Jensen Huang announced Vera Rubin is in full production, with customer shipments scheduled for Q3 2026. In Seoul on June 5 he confirmed all three HBM4 suppliers—Samsung, SK hynix, and Micron—are qualified and in production: 'All three vendors have been qualified. All three vendors are in production, and they're all racing to support Vera Rubin.' Industry analysts estimate SK hynix holds ~60–70% of allocated HBM4 volume, Samsung ~25–30%, Micron the remainder. H2 2026 production volume is expected to be 'considerably larger' than H1, with 2027 larger still. **Builder angle:** Q3 2026 is now the concrete delivery window for Vera Rubin accelerators; builders planning AI infrastructure upgrades have a locked timeline, and the three-supplier HBM4 setup reduces single-source risk on memory availability.

- **Glass substrates eye 2027 commercialization as CoWoS costs rise and hyperscaler demand grows** — [TrendForce](https://www.trendforce.com/news/2026/06/05/news-glass-substrates-eye-2027-launch-scale-toward-2030-as-cowos-costs-rise-and-hyperscaler-demand-grows/)
  TSMC, Intel, Samsung Electro-Mechanics, and Korean substrate firms are racing to commercialize glass substrates as CoWoS costs rise and AI packaging demand outpaces organic-ABF capacity. Key timeline: TSMC built a 310×310 mm CoPoS pilot line; Samsung Electro-Mechanics targets mass production at its Sejong plant in H2 2027; SKC/Absolics completed a KRW 1.76 trillion rights offering and is supplying prototypes to a U.S. telecom chip company. Intel is targeting commercialization around 2030 via its Rio Rancho co-packaged optics line. NVIDIA and Google are identified as the primary demand drivers. Full-scale mass production is not expected before 2030. **Builder angle:** Glass substrates will not relieve today's CoWoS bottleneck before 2027–2028 at the earliest; builders planning GPU cluster expansions should budget around continued packaging constraints and expect CoWoS lead times to remain stretched through 2026–2027.

- **LITEON and QCT showcase 800V DC liquid-cooled 110 kW power rack for NVIDIA Vera Rubin NVL72 at Computex 2026** — [LITEON Press Center](https://www.liteon.com/en/news/press-center/content/liteon-qct-computex-2026)
  LITEON and QCT jointly unveiled an 800V DC liquid-cooled power rack with integrated cold plates and a 110 kW rack-level power shelf alongside CRPS PSUs with three-phase input and intelligent load-balancing, co-designed for the NVIDIA Vera Rubin NVL72 platform. The architecture co-designs power delivery and thermal management as a single system to handle transient load fluctuations in dense AI inference racks. **Builder angle:** Operators planning Vera Rubin NVL72 deployments now have a validated 800V DC liquid-cooled power path that eliminates separate thermal/power system integrations, reducing rack-level design complexity and procurement surface.

## Also tracking

- **Navitas joins NVIDIA MGX ecosystem with 800V-to-6V GaN power delivery board at 97.5% efficiency and 2,100 W/in³** — [source](https://navitassemi.com/navitas-collaborates-with-nvidia-mgx-ecosystem-to-accelerate-800-vdc-ai-infrastructure/) — Eliminating the 48V intermediate stage in 800V DC AI racks removes one full conversion loss, reducing heat budget per rack and enabling higher GPU density in the same floor footprint.
- **GridReadiness June 2026 brief: GE Vernova at 60+ months backlog; France brownfield offers 18–26 month transformer path for 2028 commissioning** — [source](https://www.gridreadiness.com/data/monthly-brief-june-2026.html) — Any project targeting 2028 commissioning must bypass Tier 1 transformer vendors entirely and lock France or secondary-tier suppliers now before remaining inventory is absorbed.
- **Wolfspeed Gen 5 SiC MOSFETs launch with 27% lower on-resistance than competition at 750V and 1200V nodes** — [source](https://www.businesswire.com/news/home/20260609876239/en/Wolfspeed-Unveils-the-Industrys-Lowest-RDSON-Silicon-Carbide-SiC-MOSFETs-in-New-Technology-Generation) — Lower Rds(on) at 1200V narrows the efficiency gap between SiC and GaN for high-voltage AI data center power supplies, giving procurement teams a near-term SiC supply option on a published roadmap.
