Fix NVML memory reporting regression on coherent UMA platforms (Fixes…#463
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parallelArchitect wants to merge 1 commit intoSyllo:masterfrom
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Fix NVML memory reporting regression on coherent UMA platforms (Fixes…#463parallelArchitect wants to merge 1 commit intoSyllo:masterfrom
parallelArchitect wants to merge 1 commit intoSyllo:masterfrom
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…yllo#449) On GB10 / DGX Spark, nvmlDeviceGetMemoryInfo returns NVML_SUCCESS with total == system MemTotal (~121GB). This prevents has_unified_memory from being set, causing incorrect VRAM reporting and broken memory graph since 3.3.1. Fix: detect UMA by comparing NVML total against /proc/meminfo MemTotal. If total >= 90% of system RAM, classify as unified memory and use MemAvailable instead of MemTotal for display. Note: requires validation on GB10 / DGX Spark hardware. Author does not have access to a coherent UMA system.
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For anyone needing the NVML memory fix now while this PR is under review — the fix is available in this fork: https://github.com/parallelArchitect/nvml-unified-shim |
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… #449)
On GB10 / DGX Spark, nvmlDeviceGetMemoryInfo returns NVML_SUCCESS with total == system MemTotal (~121GB). This prevents has_unified_memory from being set, causing incorrect VRAM reporting and broken memory graph since 3.3.1.
Fix: detect UMA by comparing NVML total against /proc/meminfo MemTotal. If total >= 90% of system RAM, classify as unified memory and use MemAvailable instead of MemTotal for display.
Note: requires validation on GB10 / DGX Spark hardware. Author does not have access to a coherent UMA system.
References
NVML API documentation on SOC/UMA behavior: https://docs.nvidia.com/deploy/nvml-api/nvml-api-reference.html
Community NVML shim for GB10 UMA: https://forums.developer.nvidia.com/t/nvml-support-for-dgx-spark-grace-blackwell-unified-memory-community-solution/358869
NVML memory fix at the shim layer: https://github.com/parallelArchitect/nvml-unified-shim
btop PR: aristocratos/btop#1611
nvitop PR: XuehaiPan/nvitop#208