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GLM-5.3-Flash achieves 384K context on dual CMP 170HX GPUs

By PulseAugur Editorial · [1 sources] ·

A user has successfully configured and benchmarked the GLM-5.3-Flash model on a dual-GPU setup featuring two 64GB CMP 170HX cards. This setup utilizes the ExLlamaV3 inference engine and achieves a context window of 384K tokens with an inference speed of approximately 90 tokens per second. The user also conducted a comparative analysis against a Qwen3.8-Flash-Next setup on the same hardware, evaluating both raw inference speed and performance on coding and agent tasks. AI

IMPACT Demonstrates efficient local LLM deployment with large context windows on consumer-grade hardware.

RANK_REASON User-conducted benchmark and setup guide for a specific model and hardware configuration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

GLM-5.3-Flash achieves 384K context on dual CMP 170HX GPUs

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0 / 100
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Tool
User-conducted benchmark and setup guide for a specific model and hardware configuration. [lever_c_demoted from research: ic=1 ai=1.0]
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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
model release, infra
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High
Clearly on-topic for AI-industry coverage.
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1 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Prudent_Appearance71 ·

    2x CMP 170HX 64GB: GLM-5.3-Flash at 384K context / ~90 tok/s (EXL3, HBM-first setup) + Qwen3.8 comparison

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x0b1ws/2x_cmp_170hx_64gb_glm53flash_at_384k_context_90/"> <img alt="2x CMP 170HX 64GB: GLM-5.3-Flash at 384K context / ~90 tok/s (EXL3, HBM-first setup) + Qwen3.8 comparison" src="https://external-preview.red…

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