Tagged "unified-memory"
11 articles tagged unified-memory, 9 March 2026 to 18 October 2026. Newest first.
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Apple ML Research: Muse Spark Open with MLX on Mac Studio
Apple's latest MLX research release demonstrates distributed inference capabilities on Mac Studio, advancing the state of local inference on Apple Silicon.
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Best Hardware for Local LLMs in 2026: Mac vs. Nvidia vs. AMD
Comprehensive guide comparing hardware options for running local LLMs across Apple Silicon, Nvidia, and AMD platforms with practical performance and cost considerations.
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Optimising On-Device Inference for Apple Silicon: Practical Guide to M-Series Deployment
Perplexity publishes comprehensive optimisation strategies for running LLMs on Apple Silicon, covering hardware-specific techniques to maximise inference performance on M-series processors.
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Gemma 4 MoE for Agentic Coding: Testing Open-Weight Models on AMD APU Hardware
Alex Ewerlof runs Gemma 4 26B MoE for coding on an AMD Ryzen 7 PRO 250 APU with 64GB of RAM, and reports that tooling closes much of the gap to proprietary models — at the cost of cold starts and slower inference.
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Apple's On-Device AI Strategy Focuses on Privacy and Latency, Not ChatGPT Competition
Apple's approach to on-device AI with PrismML prioritizes privacy, latency, and local execution over competing with cloud LLMs. The strategy highlights how Apple Silicon hardware is fundamentally changing what's possible for edge inference and private AI applications.
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The Mac Mini is the Best On-Device AI Computer You Can Buy: Here's Why
An analysis positioning Mac Mini as an optimal platform for local LLM deployment, evaluating its performance-to-cost ratio, thermal efficiency, and Apple Silicon capabilities. This comprehensive assessment helps practitioners make hardware purchasing decisions for dedicated local inference systems.
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Mac Mini Emerges as Top Choice for Local On-Device AI Deployment
A new analysis highlights Mac Mini as the optimal balance of performance, cost, and accessibility for running LLMs locally. The compact system's M-series chip and efficiency make it ideal for developers experimenting with self-hosted models.
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Mac Mini Positioned as Premier On-Device AI Computer for Local LLM Inference
Recent analysis highlights Mac Mini as an exceptional platform for running large language models locally, combining affordability with strong GPU performance and optimized software support for on-device AI workloads.
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TinyGPU Adds Mac Support for External Nvidia GPU Acceleration
TinyGPU framework now enables Mac users to leverage external Nvidia GPUs for local LLM inference, expanding deployment options for Apple silicon users.
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Apple M5 Max 128GB Benchmark Results for Local LLM Inference
Community member benchmarks the new Apple M5 Max 128GB laptop for local LLM inference, providing real-world performance data for Apple Silicon's latest generation. Results demonstrate viability of premium consumer hardware for serious local deployment.
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Strix Halo (Ryzen AI Max+ 395) Achieves Strong Local Inference Performance with ROCm 7.2
New benchmarks on AMD's Strix Halo platform with ROCm 7.2 backend show practical inference speeds for the Qwen 3.5 model family, with recent llama.cpp optimisations delivering measurable performance gains.