10 Technical Logs Found
Mozilla's MZLA Technologies launched Thunderbolt on April 16, 2026 — a self-hosted, open-source AI client built on MCP and Haystack that lets enterprises run AI without sending data to Anthropic, OpenAI, or Microsoft.
Speculative decoding doubles local LLM inference speed with zero quality loss. How it works, how to enable it in Ollama and llama.cpp today, and which model pairs give the best speedup.
Master GGUF quantization formats for local LLMs in 2026. Q2_K, Q4_K_M, Q5_K_S, Q8_0, F16 explained with benchmarks, VRAM tables, and exact Ollama and llama.cpp commands.
Optimize Gemma 4 for RTX 50-series, Jetson Orin Nano, and DGX Spark with TensorRT-LLM. Day-one Ollama and Unsloth support. Full benchmarks.
Unlock Gemini 3 intelligence on your own hardware with Google Gemma 4. Run 31B Dense or 26B MoE models with 100% data sovereignty under Apache 2.0. Complete 2026 setup guide.
Local AI just got a massive upgrade. Ollama 0.19 brings native Apple MLX support to macOS, doubling generation speeds and slashing memory usage. Here is how to update.
TurboQuant eliminates KV cache memory overhead with zero accuracy loss. Complete guide: what TurboQuant is, how PolarQuant and QJL work, and how to use TurboQuant with Ollama, GGUF, and llama.cpp today — including the best current quantisation commands while TQ models are in development.
Alibaba's expanding open-source AI portfolio challenges closed US frontier labs. Discover why open model weights are becoming the new geopolitical lever in.
Indian developers are running Bhashini and local LLMs to avoid sending data abroad. We explore the rise of Indic AI and the shift to on-device intelligence.
Who actually owns your AI data? We compare ChatGPT, Claude, Gemini, and local LLMs on privacy, sovereignty, performance, and cost in 2026.
