Beyond Market Intelligence/hardware acceleration

hardware acceleration

hardware acceleration on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on hardware acceleration in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around hardware acceleration, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

5 Best Local LLMs You Can Run on a Mac mini in 2026
Analytics Vidhya

5 Best Local LLMs You Can Run on a Mac mini in 2026

Proprietary large language models offer remarkable capabilities, but configurability and on-device control are increasingly valuable. The Mac mini, powered by Apple Silicon, has surprisingly emerged as a potent platform for local AI processing. Utilizing tools like Ollama and LM Studio, users can now run capable models entirely on their Mac. Explore our ranking of the 5 best local LLMs you can run on a Mac mini in 2026, and discover how to transform your data workflows.

FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution
InfoQ

FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution

FreeToken, a new open-source inference engine developed by researchers at UC Berkeley and MIT, significantly expands the accessibility of Mixture-of-Experts (MoE) models. This innovative system enables faster, more efficient AI inference directly on consumer hardware through dynamic co-execution. FreeToken’s optimized scheduling and weight management unlock powerful edge AI applications and pave the way for self-hosted reasoning systems. For those seeking a deeper understanding of optimizing LLMs, explore our related article, "Quantization and Pruning Methods to Make Your LLM Leaner.”

Kog is going deeper to squeeze more inference out of GPUs
TechCrunch

Kog is going deeper to squeeze more inference out of GPUs

The narrative around GPUs and AI agents has often framed the former as ill-suited for the latter. French startup Kog challenges this perception, announcing deeper optimizations to maximize inference capabilities within GPUs. This represents a significant shift, potentially unlocking new efficiencies for agentic workflows. Kog’s advancements promise to empower developers with more accessible and performant AI solutions. For those interested in exploring the broader landscape of accessible AI models, see our recent article on Meta’s Glimmer release.

AI chip startup Etched defies skeptics, hits $10.3B valuation from big-name investors 
TechCrunch

AI chip startup Etched defies skeptics, hits $10.3B valuation from big-name investors 

Etched, a nascent AI chip startup founded by Harvard dropouts, is rapidly gaining traction, achieving a remarkable $10.3 billion valuation from prominent investors. Unlike traditional approaches reliant on GPUs, Etched's innovative chips and memory components accelerate AI model inference directly, streamlining workflows and unlocking new possibilities. This advancement positions Etched as a key player in the evolving AI landscape. For further insight into the broader impact of AI on various industries, explore our recent piece on how Expedia is leveraging AI to accelerate incident investigation.