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1. Commits on Feb 8, 2026

   • Flush snapshot stream

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   • Bump version 3.3.2

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   • Merge pull request #439 from Steve-Tech/snapshot

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   • Fix json cmdline indent

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   • Encode/decode usage and processes in snapshot

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   • Snapshot with delay by default

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2. Commits on Feb 7, 2026

   • Fix invalid JSON in snapshot

     Steve-Tech

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   • Add loop snapshot mode

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   • Add interval mode to snapshot

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3. Commits on Jan 18, 2026

   • Bump version 3.3.1

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   • Merge effective load within GPU percentage meter

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4. Commits on Jan 17, 2026

   • Refactor unified memory computation and sanitize process memory usage

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   • Fix NVIDIA memory reporting

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5. Commits on Jan 16, 2026

   • Bump version 3.3.0

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   • Fix metax warnings

     Syllo

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   • Merge pull request #420 from zhenyu-xu-metax/fix-metax-gpu-number

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   • Merge pull request #423 from airvzxf/feature/effective-load-metric

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   • Bound effective load to 100%

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   • Merge branch 'master' into feature/effective-load-metric

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   • Add support for Enflame GCU

     

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   • Fix typos across documentation and source

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   • Fix assertion failure when duplicate client_id encountered

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   • Merge pull request #428 from superm1/apu

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6. Commits on Dec 13, 2025

   • When running on an AMD APU add VRAM + GTT together

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7. Commits on Nov 27, 2025

   • Fix: Clamp effective load plot value to 100%

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8. Commits on Nov 25, 2025

   • Feat: Add Effective Load metric and plot

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9. Commits on Nov 18, 2025

   • fix incorrect gpu number for METAX GPU

     zhenyu-xu-metax

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10. Commits on Oct 25, 2025

    • Merge pull request #413 from polluks/master

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    • Merge pull request #411 from sbhavani/master

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    • Merge pull request #406 from KaeLL/master

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    • Merge pull request #401 from cipri-tom/master

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    • Merge pull request #398 from zhenyu-xu-metax/add-feature-support-metax

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    • Merge pull request #400 from mintyleaf/snapshot_rich_memory_output

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11. Commits on Oct 17, 2025

    • Update nvtop manpage with additional options

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12. Commits on Oct 16, 2025

    • Fix unified memory GPU reporting to use actual GPU allocations

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      sbhavani

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