Gemma 4 and NVIDIA Push Open Source // AIDRAN

The structural shift in this week's releases is not capability — it is deployment architecture. Google and NVIDIA collaborating to accelerate Gemma 4 for local agentic AI across RTX consumer GPUs and Jetson edge hardware is a hardware-software stack argument, not a benchmark argument. The labs making this move are not trying to win a leaderboard; they are trying to become the layer developers build on. Proprietary model providers who rely on API lock-in have no answer to a model that runs locally, ships free, and is optimized for the…

Gemma 4 and NVIDIA's Audio AI Push Open Source Past the Tipping Point

Free reading limit reached

Running Local AI Has Become an Act of Political Dissent

The Political Economy of Running AI on Your Own Hardware

Gemma 4 Makes Local AI a Deployment Choice

Local LLM Users Chase Hardware Gains, Not Benchmark Glory

The Open Source Compact Is Breaking From Both Directions

DeepSeek V4 Breaks the Pricing Floor for Frontier AI

GLM-5.1 Topped the Coding Benchmark. The Industry Rationalizations Started Immediately.

Google Gemma 4 Ships Apache 2.0 — and Reopens the Local AI Argument

CargoWall Open-Sources the eBPF Firewall That Escaped Its LLM Cage

Meta Closes Muse Spark as Google Opens Gemma 4