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DeepSeek-V4 Flash model achieves consistent long-context performance on Ascent GX10

A user has successfully deployed a REAP-pruned NVFP4 version of the DeepSeek-V4 Flash model on an Ascent GX10 system. The setup utilizes a single Apache Spark instance and demonstrates consistent throughput even with long context lengths. The user also developed a Grafana dashboard to monitor the Spark server's performance, which was serving at a 262k context with VLLM. AI

IMPACT Demonstrates practical application and performance tuning of large language models in local hardware setups.

RANK_REASON User-level deployment and performance testing of an existing model.

Read on r/LocalLLaMA →

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

DeepSeek-V4 Flash model achieves consistent long-context performance on Ascent GX10

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Dry-Tough-8068 ·

    Got my Ascent GX10 two days ago, ran REAP-pruned NVFP4 DeepSeek-V4-Flash on a single Spark, and it stays consistent at long context

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1up6t50/got_my_ascent_gx10_two_days_ago_ran_reappruned/"> <img alt="Got my Ascent GX10 two days ago, ran REAP-pruned NVFP4 DeepSeek-V4-Flash on a single Spark, and it stays consistent at long context" src="htt…