VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

Asari AI's agents build an inference engine that runs GLM 5.3 faster on AMD than on NVIDIA

Asari AI says its agents built a custom inference engine in a few days that serves GLM 5.3 FP8 on AMD MI350X 37% faster than on 8-GPU NVIDIA B200 and B300 nodes. It reports 352 tokens per second per user at p90 on SemiAnalysis's AgentX benchmark, with...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-27T21:40:00+00:00 Detected 2026-10-28T01:27:51+00:00
View original source

Asari AI says its agents built a custom inference engine in a few days that serves GLM 5.3 FP8 on AMD MI350X 37% faster than on 8-GPU NVIDIA B200 and B300 nodes. It reports 352 tokens per second per user at p90 on SemiAnalysis's AgentX benchmark, with...

Asari AI says its agents built a custom inference engine in a few days that serves GLM 5.3 FP8 on AMD MI350X 37% faster than on 8-GPU NVIDIA B200 and B300 nodes. It reports 352 tokens per second per user at p90 on SemiAnalysis's AgentX benchmark, with outputs consistent with the stock implementation. Original post...

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 95% Technical label WATCH Public Interest 52 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 82 Practical Impact Score 0 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 16 Shareability Score 63

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