Tools, frameworks, and models for local AI
4 resources found for "Agenti"
Model for local agents and specialized applications, 1.73B parameters, tri-hybrid architecture (13 gated short convolutions, 5 sliding-window attention, 6 global attention). Explicit agentic post-training (harnesses like Hermes Agent, Pi, OpenClaw), 256K-token context, 16 languages including Italian, ~1GB of RAM at 4-bit. LFM Open License v1.0.
Open-source inference engine (Rust, YC S25) that compiles and tunes its kernels directly on the target hardware: Apple Silicon, NVIDIA, AMD or CPU. On open models it claims up to 2× the speed of llama.cpp. Also aimed at serving agents.
Self-hosted workflow automation platform: a visual node-based canvas to connect apps, data and AI models (local or API), with AI Agent nodes and over 400 integrations.
Il supercomputer desktop di NVIDIA basato su GB300 Grace Blackwell Ultra: fino a 748GB di memoria coerente, fino a 20 petaflop in FP4, CPU Grace a 72 core collegati via NVLink-C2C. Pensato per sviluppare ed eseguire agenti e modelli frontier-class al desk. Annunciato a GTC nel marzo 2025; versione per Windows annunciata il 1 giugno 2026 in arrivo a fine anno. Listino nell'ordine dei 99.000 USD.
