Apple unveils M6 and M5 Ultra: 2nm chips and 512GB for AI
Surprise chip debut: the M6 is Apple's first 2-nanometer chip, and the M5 Ultra carries up to 512GB unified memory — on-device AI is the selling point.

Illustration · AI-generated (AI IN LIFE)
At a glance
- M6: Apple's first 2nm chip — 12-core CPU, dual 16-core Neural Engine, up to 32GB RAM
- M5 Ultra: quad-die design, up to 36 CPU cores, 80-core GPU, up to 512GB unified memory
- Up to 4.5x peak GPU AI compute versus M3 Ultra; 1.2TB/s bandwidth
- Mac mini from $899 (M6) / $1,699 (M5 Pro), Mac Studio from $2,499 (US pricing)
- Announced August 25, 2026 by press release, without an event
Apple introduced new Mac mini and Mac Studio models without prior notice on August 25, 2026 — and with them two chip debuts: the M6 is Apple's first processor built on a 2-nanometer process, and the M5 Ultra is the first M-series chip with a quad-die architecture. Both clearly target local AI workloads as the central selling point.
What's inside the M6? A redesigned 12-core CPU with two "super cores", a 12-core GPU with Neural Accelerators, and a dual 16-core Neural Engine. Apple quotes up to 1.2x faster multithreading than the M5, roughly 30 percent more GPU AI compute, and 170GB/s of memory bandwidth with up to 32GB unified memory. Silicon executive Sri Santhanam: "M6 combines a new CPU complex, two additional cores, a Dual 16-core Neural Engine, and more unified memory bandwidth."
The M5 Ultra in the new Mac Studio scales much further: up to 36 CPU cores, an up-to-80-core GPU, 1.2TB/s of memory bandwidth and up to 512GB unified memory. Apple puts peak GPU compute for AI at up to 4.5 times the M3 Ultra — enough to run even large open language models entirely on-device.
Where does pricing land? According to US reports, the Mac mini starts at $899 with the M6 and $1,699 in the M5 Pro configuration; the Mac Studio starts at $2,499. That moves serious local AI inference — until now the domain of expensive workstations — into compact desktop territory.
The context: Apple is increasingly positioning Macs as machines for privacy-friendly on-device AI while competitors bet on cloud inference. With 512GB of unified memory, the M5 Ultra explicitly targets developers and companies that want to run models in-house — a counterpoint to subscription AI services.
FAQ
Why does 2 nanometers matter?
Smaller structures allow more transistors and efficiency: Apple quotes about 30 percent more GPU AI compute and 2.4x faster multithreading than the M1.
Who is the M5 Ultra for?
Developers and companies running large models locally: 512GB of unified memory fits language models that would otherwise need server hardware.
When and where can I buy them?
Apple communicated US pricing and availability, with orders starting on announcement day; other regions follow via the local stores.


