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GLM-5.2 runs on custom hardware with 330k context window

By PulseAugur Editorial · [1 sources] ·

A user has successfully configured and is running the GLM-5.2 large language model on a custom hardware setup. The setup utilizes four NVIDIA GB10 Grace Blackwell Superchips, connected by a 100G switch, and supports a context window of 330k tokens. Performance benchmarks indicate approximately 25 tokens/second for typical tasks and up to 650 tokens/second for prefill operations, with potential for further optimization through model pruning. AI

IMPACT Demonstrates feasibility of running large context models on custom, high-performance local hardware.

RANK_REASON User-configured hardware setup for running an LLM.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GLM-5.2 runs on custom hardware with 330k context window

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Signal score
0 / 100
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Newsworthiness bucket
Tool
User-configured hardware setup for running an LLM.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
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High
Clearly on-topic for AI-industry coverage.
Story freshness
98 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/SpaceRaisins ·

    Running GLM 5.2 on 4xGB10 with a 100G Switch, 330k ctx, ~25 t/s tg, ~650 t/s pp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ur022r/running_glm_52_on_4xgb10_with_a_100g_switch_330k/"> <img alt="Running GLM 5.2 on 4xGB10 with a 100G Switch, 330k ctx, ~25 t/s tg, ~650 t/s pp" src="https://external-preview.redd.it/aw4ySea5ZwGyHtvXZlH5…

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