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g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput

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1 SIGNALFIRST DETECTED 31 August 2026
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25 Aug
Did FP8 make the model dumber? A per-prompt regression check for quantized serving

<p>FP8 gave us a clean 1.5x on Qwen3-8B serving throughput on an RTX PRO 6000 Blackwell (1,725 to 2,597 tok/s at concurrency 32, vLLM). The uncomfortable question is always the

REPORT · WHAT · Dev.toOPEN STORY
31 Aug
The Cheapest CUDA GPU on AWS Has an Arm CPU — and You Probably Want the Intel One

<p>This article provides a step by step deployment guide for Gemma 4 E2B onto the two cheapest<br /> whole GPU CUDA instances AWS sells, and compares what they cost to run. A

REPORT · HOW · Dev.toOPEN STORY
9 Sept
Name the Blackwell serving cell you are actually in

<p>On sm_120 and sm_121, a model that will not serve often fails in one cell: one runtime version, one MoE or GEMM backend, one quantization, one topology. Change a single axis

REPORT · WHAT · Dev.toOPEN STORY
6 May
Qwen3.6-27B with MTP grafted on Unsloth UD XL: 2.5x throughput via unmerged llama.cpp PR

<!-- SC_OFF --><div class="md"><p>Hey everyone, I've been working on getting Multi-Token Prediction (MTP) working with quantized GGUFs for Qwen3-27B and the results are pretty

OPINION · HOW · LocalLLaMAOPEN STORY
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