Colibrì: Unleashing Gigantic AI Models on Your Laptop with Pure C Magic!
Quick Summary: 📝 Colibrì is a C-based runtime for large Mixture-of-Experts (MoE) models...
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Quick Summary: 📝 Colibrì is a C-based runtime for large Mixture-of-Experts (MoE) models...
What Changed NVIDIA has introduced Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4, a new large...
Meituan released LongCat-2.0, a 1.6-trillion-parameter open-weight (MIT) model that ran anonymously as 'Owl Alpha' for two months and was, the company says, both trained and served entirely on domestic Chinese AI ASICs with no Nvidia GPUs.

We have ~1.5 TB of EDRSR with vectors + ~550 GB of registries, legislation, Spanish sources, and EU-Lex running in prod. If we push all of this through an MoE model the size of DeepSeek V3, scaled to 860B on TPU v5p — what comes out? We break down th
Explore LongCat-2.0's 1.6T parameter MoE architecture and its breakthroughs in scalability, efficiency, and performance for next-gen AI systems.
Why Local LLMs Got Good in 2026: Multi-Token Prediction, Speculative Decoding, and the MoE Efficiency Leap
Kimi K2.7 Code Local Setup 2026: vLLM, SGLang, GGUF
NVIDIA Nemotron 3 Ultra for Local AI in 2026: 550B/55B-Active MoE, 1M Context, NVFP4 — Which Consumer GPU Can Actually Run It
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MiniMax M3 Review 2026: Open-Weight 1M-Context Frontier
GLM 5.2 for Local AI in 2026: 744B MoE, MIT License, and Why It's Effectively Cloud-Only at Home