Apple to Release 512GB M5 Ultra Mac Studio in October
The high-capacity desktop is designed to process massive AI workloads locally.
Updated on Oct. 20, 2026 in Artificial Intelligence
Live Poll
Is now a good time to invest in high-end local hardware for professional AI workloads?
Apple is set to launch its 512GB M5 Ultra Mac Studio in late October 2026. The configuration is specifically engineered for professionals handling large datasets and complex AI models.
Why it matters
The 512GB memory capacity allows users to process intensive AI workloads locally on their hardware, reducing the need to rely on cloud-based inference services.
The 512GB configuration supports running heavy models like the Meta Muse Spark Open, which has 816 billion parameters. Using NVFP4 4-bit quantization, the model memory footprint shrinks from over 1.6TB at native precision to approximately 493GB.
The players
Apple
This technology corporation is widely known for designing and manufacturing the Mac computer line and various consumer electronics.
Meta
This multinational technology conglomerate develops social media platforms and contributes heavily to open-source artificial intelligence research.
The details
Apple intends to support distributed inference across multiple Mac Studios using the MLX framework, which utilizes RDMA over Thunderbolt 5 connections to exchange intermediate results. This method enables the distribution of large model weights across a cluster of machines.
Timeline
August 25, 2026: Apple announced the 512GB Mac Studio configuration.
September 22, 2026: Lower-memory Mac Studio configurations became available.
October 15, 2026: Apple and Meta released research on AI inference.
Late October 2026: Apple scheduled the 512GB Mac Studio for release.
The Tech Race
The introduction of 512GB desktop memory capacity represents a shift toward enabling local AI hardware to handle models previously restricted to massive cloud servers. This positions Apple to compete for professional AI developers who require high-performance local processing for models like the Meta Muse Spark Open.
Professional users can expect significantly improved local performance for large-scale AI tasks starting at a base price of $5,499. This hardware allows developers to manage complex model weights locally without incurring constant cloud-based data transfer costs.
The takeaway
Professionals working with large-scale artificial intelligence models should evaluate whether local hardware upgrades offer better long-term value than cloud-based inference. This move highlights an increasing trend toward bringing massive language model processing into professional workstations.
What happens next
Apple is expected to announce the final pricing and the specific ordering date for the 512GB Mac Studio in the coming weeks.
Further reading
Learn more about local hardware capabilities in the Artificial Intelligence section.
Live Poll
Is now a good time to invest in high-end local hardware for professional AI workloads?
