Gemma 4 hits consumer GPUs with TurboQuant

Gemma 4 is Google's "DeepSeek moment," proving that dense models can still dominate the open-source leaderboard when paired with revolutionary inference optimizations.

• –TurboQuant solves the context-length memory wall, allowing 24GB GPUs like the RTX 3090/4090 to handle massive 256K token windows without running out of VRAM.
• –The 31B dense model ranks #3 globally on the Arena AI leaderboard, effectively beating proprietary models 20x its size in reasoning and multimodal tasks.
• –Apache 2.0 licensing marks a significant shift for Google, signaling a push for total dominance in the developer-first local AI ecosystem.
• –Day-0 integration with Ollama and LM Studio ensures immediate accessibility, though TurboQuant's 8x speedup currently requires experimental builds or framework-specific forks.
• –Native multimodality across the entire lineup (including video and audio) positions Gemma 4 as the premier engine for autonomous agentic workflows.