VQV Signal

OPEN SOURCE WATCH TECHNICAL

Fast local inference on AMD Strix Halo, and the speed-versus-quality trap

KireiStudios says its inference engine now reaches 1,885 tokens a second in exact 8K prefill for Qwen3.8-Flash-Next on one Strix Halo node, and 1,165 tokens a second for DeepSeek V4.1 Flash across two nodes linked over USB4. In a follow-up they warn that m...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-14T14:45:00+00:00 Detected 2026-11-14T22:19:46+00:00
View original source

KireiStudios says its inference engine now reaches 1,885 tokens a second in exact 8K prefill for Qwen3.8-Flash-Next on one Strix Halo node, and 1,165 tokens a second for DeepSeek V4.1 Flash across two nodes linked over USB4. In a follow-up they warn that m...

KireiStudios says its inference engine now reaches 1,885 tokens a second in exact 8K prefill for Qwen3.8-Flash-Next on one Strix Halo node, and 1,165 tokens a second for DeepSeek V4.1 Flash across two nodes linked over USB4. In a follow-up they warn that many impressive inference numbers sacrifice model quality,...

Signal Strength 87% Technical label WATCH Public Interest 38 Category OPEN SOURCE 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 16 Shareability Score 53

VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).