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On-device AI inference

Running AI model computations directly on a device—phone, accessory, or PC—rather than sending data to cloud servers, often for speed or privacy.

Current stories

build1 publisherOne report

GitHub Copilot's on-device MAI Code 1.1 Flash peaks at 75.5GB of memory

Microsoft plans to run MAI Code 1.1 Flash on developers' machines in GitHub Copilot, with a limited rollout starting by end-October 2026. Its figures come from one high-end laptop and local pricing is undisclosed, so teams cannot yet size the hardware or the bill.

Publishers:dev.to

Reality

Evidence40
Adoption
Insufficient
Hype gap+10
Incentives60
Confidence45
build3 publishersConfirmed

The 1.2 TB/s Mac Studio asks you to pick your model size before you buy it

Tom's Hardware puts the M5 Ultra at up to 1.2 TB/s of memory bandwidth over as much as 256GB of soldered unified memory, so the capacity that decides which weights stay resident is settled at checkout.

Perspective Coverage

3 publishers
Builder
Builder 42%
Operator
Operator 35%
Investor
Investor 23%

Reality

Evidence55
Adoption
Insufficient
Hype gap+30
Incentives55
Confidence55