Summary
According to a post on X by @tvytlx, four local coding agents ran at once on an older RTX 3090 GPU, reaching about 290 tokens per second in total. A single agent reached 117 tokens per second, while each of the four agents still got about 70 tokens per second. The author says this is nearly four times faster than stock llama-server concurrency, but the snippet gives no further benchmark details. The post is presented as one data point for teams running agent fleets on local hardware.
AI-assisted summary based on the listed source.
What happened
tvytlx reports running four local coding agents at once on an old RTX 3090 for about 290 tokens a second total. One agent alone gets 117 tok/s, while four at once still get about 70 tok/s each, which they say is nearly four times faster than stock llama-server concurrency. It's a data point for teams trying to run...
Why it matters
Teams weighing whether to run several coding agents on their own hardware may find this report relevant to throughput planning. Builders should watch for the full setup, model, and benchmark method, which the snippet does not include. Until those details are shared, the figures are the author's own claims.
What this means for you
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
Signal Intelligence
Signal Strength 90%
Technical label WATCH
Public Interest 40
Category ROBOTS & HARDWARE
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 51
Practical Impact Score 8
Novelty Interest Score 70
Consequence Score 18
Curiosity Score 32
Shareability Score 53
Why this is here
VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).
