LM Studio daisy-chains Mac Studios for local LLMs
At a WWDC 2026 in-person demo, LM Studio showcased its capability to run massive local AI models by distributing the workload across four daisy-chained Mac Studios. This setup highlights the potential of Apple Silicon's unified memory architecture to handle extremely large models locally and offline, without relying on cloud infrastructure.
Running massive LLMs locally by daisy-chaining consumer/prosumer hardware could redefine workstation setups for AI developers, proving that local inference is becoming a highly scalable alternative to cloud hosting.
- –Demonstrates how unified memory in Apple Silicon can scale effectively for local LLMs when daisy-chained.
- –LM Studio is shifting from a simple local testing environment to supporting multi-device local infrastructure.
- –High-end local hardware clustering offers developers complete data sovereignty and zero-latency api access.
DISCOVERED
1h ago
2026-06-14
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1h ago
2026-06-14
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lmstudio