VQV Signal

AI AT WORK WATCH TECHNICAL

Gemini 4 Argon speeds up Gemma 2.85 times in vLLM

@lucianommartins used Gemini 4 Argon to make Gemma run 2.85 times faster on an A100 through vLLM, from about 37,900 to over 108,000 tokens per second with no quality loss, across eight pull requests. Google for Developers also showed Argon building a Unity...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-27T01:00:00+00:00 Detected 2026-10-27T09:19:36+00:00
View original source

@lucianommartins used Gemini 4 Argon to make Gemma run 2.85 times faster on an A100 through vLLM, from about 37,900 to over 108,000 tokens per second with no quality loss, across eight pull requests. Google for Developers also showed Argon building a Unity...

@lucianommartins used Gemini 4 Argon to make Gemma run 2.85 times faster on an A100 through vLLM, from about 37,900 to over 108,000 tokens per second with no quality loss, across eight pull requests. Google for Developers also showed Argon building a Unity ocean game, modeling and rigging 3D assets in Blender,...

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 78% Technical label WATCH Public Interest 44 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 73 Practical Impact Score 20 Novelty Interest Score 70 Consequence Score 10 Curiosity Score 0 Shareability Score 61

VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to Scobleizer News Pulse (X).