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docs: blog post "Self-Improving AI Systems: A Log-Analysis Agent on NVIDIA DGX Spark" - #579
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…on NVIDIA DGX Spark" New post with thumbnail, architecture diagram (Fig. 1) and a dense-vs-MoE throughput chart (Fig. 2). Numbers come from three experiments run on one DGX Spark with Nemotron 3.5 Lightning against the civic MultiHop-RAG dataset, plus the throughput benchmarks in deepset-ai/dgx-spark. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Errors per inputErrors in ./public/blog/self-improving-agent-dgx-spark/index.html
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sjrl
reviewed
Sep 28, 2026
sjrl
reviewed
Sep 28, 2026
The LocalRunStore API no longer exists on the PR branch; the snippet now matches commit 15bc78075 of haystack-core-integrations#3932 and links to it so readers can reproduce the runs. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
…suggestion) Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
…th paragraph (review suggestion) Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
… bandwidth paragraph (review suggestion)" This reverts commit 88a5409.
julian-risch
commented
Sep 28, 2026
Co-authored-by: Julian Risch <julianrisch@gmx.de>
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
bilgeyucel
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Sep 28, 2026
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I love the work! Left some comments to make some point more clear
Co-authored-by: Bilge Yücel <bilge.yucel@deepset.ai>
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
julian-risch
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Oct 7, 2026
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Related Issues
Related code is in deepset-ai/haystack-core-integrations#3932 (draft)
Proposed Changes:
content/blog/self-improving-agent-dgx-spark/index.md: a Haystack optimizer agent that reads recorded traces of a citizen-services assistant, edits its configuration, measures each candidate and recommends the best one, with every model call on one NVIDIA DGX Spark.thumbnail.png: photo of the DGX Spark.fig1-self-improving-loop.png: architecture diagram of the optimization loop.dense-vs-moe.png: single-stream throughput of four local models, with and without speculative decoding, generated from the numbers in the post's table.How did you test it?
Preview https://haystack-home-git-blog-self-improving-agent-d-d223e9-deepset-ai.vercel.app/blog/self-improving-agent-dgx-spark
Notes for the reviewer
The
date/last_updatedfields are placeholders for the publication date.Checklist
fix:,feat:,build:,chore:,ci:,docs:,style:,refactor:,perf:,test:.🤖 Generated with Claude Code