k
keynews.ai
keynews.ai
ChipsThe story, in brief

JPMorgan Chase bets on Seattle to build its AI control layer

JPMorgan isn't buying AI. It's building the infrastructure to control it across every vendor and data center.

Reporting by GeekWire 1 min brief
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Enterprise AI strategy is shifting from model dependency to infrastructure control. JPMorgan's Seattle-based AI control layer signals a broader trend: Fortune 500 companies are investing in proprietary orchestration to avoid vendor lock-in and manage costs at scale.

The key facts

4 to know

  1. JPMorgan Chase establishing major AI software infrastructure team in Seattle

  2. Focus on multi-vendor, multi-data-center AI orchestration and control

  3. Strategic goal: cost management, IP protection, vendor independence

  4. Infrastructure play, not model/product-dependent

Go to the source

GeekWiregeekwire.com

Publisher excerpt: JPMorgan Chase is building out a new AI software infrastructure team, with a major presence in Seattle, focused on running AI across its data centers and outside providers in a way that controls costs, protects its intellectual property, and avoids tying its fortunes to any one vendor.
Read original report
Back to today's editionMore chips news

The wider picture

View all
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips01

Google Adds Cycle-Level Kernel Profiling to XProf

A developer-facing tooling improvement that directly enables better TPU utilization and kernel optimization. Practitioners building custom Pallas kernels can now see exactly where cycles are spent, shifting from guesswork to data-driven tuning.

InfoQ AI/ML
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips02

Civo unveils first of 40 planned edge data center sites across UK

Edge compute infrastructure is becoming critical for low-latency AI inference and agentic workloads. Civo's distributed network strategy reflects growing demand for regional AI compute capacity outside centralized cloud zones — a structural shift in how AI workloads are deployed.

ITPro
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips03

China reviews dependence on Broadcom switches in data centres

China is auditing its reliance on foreign networking hardware for AI data centers as part of a broader push to build domestic alternatives. This reshapes global compute buildout economics and chip supply chains at a moment when AI capacity is the competitive moat.

Financial Times Technology