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studio: show system-wide VRAM in the multi-GPU System tab view on ROCm - #7216

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danielhanchen merged 23 commits into
unslothai:mainfrom
hakanbaysal:fix/studio-multi-gpu-vram-system-wide
Jul 22, 2026
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studio: show system-wide VRAM in the multi-GPU System tab view on ROCm#7216
danielhanchen merged 23 commits into
unslothai:mainfrom
hakanbaysal:fix/studio-multi-gpu-vram-system-wide

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The System tab's per-GPU list comes from get_visible_gpu_utilization. When
amd-smi is unavailable (always on Windows, minimal Linux installs) it fell back
to torch, whose readings are process-local: on Windows WDDM hands each process
its own budget, so a model held by the separate llama-server process read as
~0 VRAM used even with the GPU full (#7072). The primary-GPU endpoint already
compensates with system-wide sources -- Windows Performance Counters (Task
Manager's source) and Linux DRM sysfs -- but the multi-device endpoint never
got those fallbacks.

Add per-GPU variants of both sources and overlay them onto the torch fallback:
rocm_windows_perf_counter_vram_per_adapter_gb() attributes Dedicated Usage per
physical adapter (phys
in the counter instance name), and
rocm_linux_sysfs_vram_per_card_gb() reads mem_info_vram{used,total} per DRM
card. _overlay_system_wide_vram() applies them to the device list, ROCm-only,
best-effort: unmatched adapters and ambiguous card counts keep the torch
figures, and NVIDIA paths are untouched.

Fixes #7072

The System tab's per-GPU list comes from get_visible_gpu_utilization. When
amd-smi is unavailable (always on Windows, minimal Linux installs) it fell back
to torch, whose readings are process-local: on Windows WDDM hands each process
its own budget, so a model held by the separate llama-server process read as
~0 VRAM used even with the GPU full (unslothai#7072). The primary-GPU endpoint already
compensates with system-wide sources -- Windows Performance Counters (Task
Manager's source) and Linux DRM sysfs -- but the multi-device endpoint never
got those fallbacks.

Add per-GPU variants of both sources and overlay them onto the torch fallback:
_rocm_windows_perf_counter_vram_per_adapter_gb() attributes Dedicated Usage per
physical adapter (phys_<N> in the counter instance name), and
_rocm_linux_sysfs_vram_per_card_gb() reads mem_info_vram_{used,total} per DRM
card. _overlay_system_wide_vram() applies them to the device list, ROCm-only,
best-effort: unmatched adapters and ambiguous card counts keep the torch
figures, and NVIDIA paths are untouched.

Fixes unslothai#7072
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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py
Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py
hakanbaysal and others added 2 commits July 17, 2026 23:33
…nblock the loop

Five review fixes on the multi-GPU system-wide VRAM overlay:

1. Linux: match DRM cards to devices by PHYSICAL index instead of a positional
   zip, so a reordering visibility mask (HIP_VISIBLE_DEVICES=1,0) no longer
   swaps each card's figures onto the other GPU (which would mislead
   auto_select_gpu_ids and the coexistence checks). An index with no matching
   card keeps its torch figures.

2. Linux: skip the overlay for a device whose sysfs total is below torch's --
   on unified-memory APUs (Strix Halo) mem_info_vram_total is only the small
   dedicated slice while torch sees the GTT-backed pool, and
   _apply_unified_memory_correction already defines larger-total-wins.

3. Windows: group counter instances by adapter LUID, not the phys_<N> suffix --
   separate adapters each read phys_0, which collapsed every GPU into key 0.
   LUIDs are mapped to 0-based positions by ascending value as the closest
   stand-in for device order.

4. Windows: pair the system-wide usage with the physical capacity from
   get_device_properties (as the primary-GPU fallback does) -- under WDDM
   mem_get_info's "total" is the process budget, which misreported capacity
   and pushed utilization to 100%.

5. Run get_visible_gpu_utilization off the event loop in the /hardware/visible
   route (asyncio.to_thread, the repo's convention): the ROCm fallbacks can
   shell out to PowerShell with a 5s timeout, which would stall every other
   request while the System view polls.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
The overlay matches its per-GPU sources (Windows perf counters, Linux sysfs) by
physical device index, but under a UUID/MIG visibility mask the torch fallback
enumerates ordinals and reports index_kind == "relative", where `index` is a
visible ordinal, not a physical id. Applying the overlay there let card/adapter
0's system-wide VRAM overwrite the torch reading of a process that actually
exposes physical GPU 1, misleading auto_select_gpu_ids and the coexistence
checks. Gate the overlay on index_kind == "physical"; relative-index paths keep
the torch fallback.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py Outdated
The multi-GPU system-wide VRAM overlay is now Linux-only. The Windows
per-adapter Performance Counter path could not be made correct: the wildcard
Get-Counter query also returns non-ROCm/iGPU adapters and LUID order is not the
ROCm device order, so an adapter's usage could be overlaid onto the wrong GPU;
and it read only Dedicated Usage, missing WDDM shared memory on unified-memory
GPUs (Strix Halo), overstating free VRAM. Rather than misattribute VRAM and
skew placement decisions, Windows keeps the process-local torch fallback (no
regression vs before this PR); Linux DRM sysfs -- matched by physical index --
still fixes unslothai#7072 for the reporter's native-Linux ROCm case.

Removes _rocm_windows_perf_counter_vram_per_adapter_gb and _torch_props_total_gb.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
… cards

_rocm_linux_sysfs_vram_per_card_gb dropped cards with a zero total or unreadable
files and then the overlay enumerated the compacted list, so if card0 was
dropped, card1's usage was assigned to physical GPU index 0 (equal-capacity GPUs
slip past the unified-memory total guard). Return {card_number: (used, total)}
and match a device to its card number directly: a hole stays a hole -- device 0
keeps its torch figures when card0 is absent, and card1 maps to device 1.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
When a non-amdgpu adapter (Intel iGPU, a display-only card) owns an earlier
DRM slot, DRM card numbers stop equalling ROCm device ordinals -- Intel card0
plus AMD card1/card2 gives ROCm devices 0/1, so keying the sysfs overlay by
card number handed ROCm device 1 card1's data (AMD device 0) and left device 0
on stale torch figures, corrupting free-VRAM placement on equal-capacity GPUs.

Only amdgpu cards expose mem_info_vram_*, so the glob already excludes foreign
adapters; order the surviving cards by their PCI address (ROCm/HIP's default
device order, read from each card's device symlink) and key by that position --
the ROCm physical ordinal, which is what the overlay matches against dev index.
An unreadable / zero-total amdgpu card still consumes its ordinal so a later
card is never renumbered onto its slot.

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Comment thread studio/backend/utils/hardware/hardware.py
ROCR_VISIBLE_DEVICES filters physical GPUs at the HSA/ROCr layer, and a
HIP_VISIBLE_DEVICES set on top selects WITHIN that already-filtered set
(apply_gpu_ids sets HIP while leaving an inherited ROCR mask in place). When
both are active _get_parent_visible_gpu_spec() prefers the HIP value, so the
reported device index is a ROCR-relative ordinal, not a physical GPU id --
overlaying DRM-sysfs figures by that index would pull another GPU's usage
(e.g. ROCR=2,3 + HIP=1 is physical GPU 3, but the overlay would read card 1),
and equal-capacity cards bypass the total-size safeguard. Detect layered masks
and keep torch's process-local figures there rather than risk misattribution;
a single mask still leaves the index physical and is overlaid as before.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
The overlay guard only skipped the case where sysfs total < torch total
(unified-memory APUs), so a partitioned ROCm device (MI300 in CPX mode) --
where HIP exposes several logical devices per physical card but sysfs reports
the whole card's aggregate -- passed the guard: the card total exceeds a
partition's torch total, and the overlay overwrote the partition with
whole-card usage and capacity, letting downstream selection think a partition
had the entire card free. Require the sysfs card total to match the torch
device total (within ~10%) so a mismatch in either direction -- unified memory
(sysfs smaller) or partitioning (sysfs larger) -- keeps torch's figures.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py Outdated
Two remaining mismatches between the reported device index and the DRM card the
overlay reads:

- On ROCm the HIP layer honors CUDA_VISIBLE_DEVICES as well as
  HIP_VISIBLE_DEVICES, so a CUDA mask composed over ROCR layers identically:
  ROCR=2,3 with CUDA=1 is physical GPU 3, yet the spec reports the ROCR value
  [2,3] and the device was labeled index 2, overlaying card 2's usage onto GPU 3.
  The layered check now treats ROCR combined with either HIP or CUDA as layered.

- The ROCm device set is now enumerated by bound driver (device/driver resolves
  to amdgpu) instead of by the presence of mem_info_vram_*. An AMD device with
  incomplete sysfs support (some APUs expose no VRAM files at all) was omitted
  by the glob entirely and shifted every later card down one ordinal, letting a
  similar-capacity GPU pass the total guard with another device's usage. Such a
  card now consumes its ordinal and simply yields no entry.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py
Two remaining ways the reported device index could be matched to the wrong DRM
card:

- GPU_DEVICE_ORDINAL is a supported ROCm visibility variable that
  _get_parent_visible_gpu_spec() never consults, so GPU_DEVICE_ORDINAL=1
  surfaces physical GPU 1 as torch ordinal 0 and it was mislabeled index 0,
  overlaying card 0's usage onto GPU 1. The mask check now covers it, and is
  renamed _rocm_device_index_unreliable() to say what it actually decides.

- driver == amdgpu is only a SUPERSET of the ROCm-visible set: an amdgpu-bound
  adapter HIP cannot enumerate (an unsupported older AMD GPU beside a supported
  one) still took an ordinal and shifted every real compute device. There is no
  torch-side PCI identity to match against, so the overlay now requires the
  amdgpu card count to equal the device count -- exactly the condition under
  which position-in-PCI-order is a sound 1:1 mapping. Any disagreement keeps
  torch's process-local figures: less informative, never misattributed.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
The card-count guard compared the amdgpu card list against the VISIBLE device
list, so any visibility mask disabled the overlay outright: HIP_VISIBLE_DEVICES=1,3
on a four-GPU host gives two devices against four cards. Those masked GPUs then
kept reporting process-local torch usage, hiding VRAM held by llama-server and
letting the training/chat placement checks overestimate free memory -- the exact
problem the overlay exists to fix.

The count check now applies only when no visibility mask is active, which is the
case where the reported devices really are the whole host and a mismatch means an
amdgpu adapter ROCm cannot enumerate is shifting the ordinals. Under a mask the
subset is expected, so each device's physical index is validated individually
instead: the per-card lookup bounds-checks it and the total-size guard rejects a
card whose capacity does not match the device's.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Every mapping bug on this PR came from the same root cause: there was no
authoritative link between a reported device index and a DRM card, so the
overlay kept inferring one positionally and each heuristic broke on a new host
shape -- foreign adapters on earlier DRM slots, cards with no VRAM sysfs, and
most recently amdgpu-bound adapters HIP cannot enumerate, which the count guard
could only catch on an unmasked host and therefore missed under any mask.

Use the link ROCm itself enumerates from. KFD topology
(/sys/class/kfd/kfd/topology/nodes/<N>/properties) lists exactly the GPUs HIP
exposes -- GPU nodes in node-id order are HIP's device order -- and each carries
its PCI location, so index N there IS physical device N with a stable identity.
DRM sysfs now supplies system-wide VRAM keyed by that same PCI address, and the
overlay is a join on it.

Every previous skew becomes a failed join rather than a misattribution: an
unenumerable adapter has no KFD node so it never takes an ordinal, a foreign
adapter contributes no entry, and a masked subset resolves each physical index
directly. That removes the count heuristic and its mask exception entirely. With
no KFD topology there is no identity to join on, so the overlay is skipped rather
than guessing positionally.

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Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py Outdated
Comment thread studio/backend/utils/hardware/hardware.py Outdated
Three ways the identity map could still be built on a false premise:

- The NVIDIA open kernel module registers KFD topology nodes with a positive
  SIMD count, so an earlier NVIDIA node shifted every AMD ordinal and ROCm
  device 1 resolved to AMD GPU 0. GPU nodes now require vendor_id 4098 (0x1002),
  the same filter install.sh already applies for this exact reason.

- A GPU node with an unreadable properties file or no location_id was skipped,
  which silently shifted every later ordinal. Both now fail the whole map
  closed, so the overlay is disabled rather than misattributing.

- A container exposing only some render devices through device cgroups sets no
  visibility variable, yet torch compacts what it can see to ordinals from zero
  while the host-mounted KFD and DRM trees still list every GPU. Nothing in the
  reported payload distinguishes that from a full host, and torch exposes no PCI
  id to check against, so the overlay now runs only when host visibility is
  positively verified: no visibility mask AND device count equal to the host GPU
  count. That also subsumes the previous layered-mask and GPU_DEVICE_ORDINAL
  checks, so _rocm_device_index_unreliable() is gone.

This trades coverage for correctness: masked subsets and filtered containers now
keep torch's process-local figures instead of a mapping that cannot be verified.

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pci_by_ordinal = _rocm_kfd_gpu_pci_ids()
if not pci_by_ordinal:
return
if _rocm_visibility_mask_active() or len(devices) != len(pci_by_ordinal):

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P2 Badge Allow identity ROCm masks to keep system-wide VRAM

When a launcher exports an identity/all-GPU mask such as HIP_VISIBLE_DEVICES=0,1 or CUDA_VISIBLE_DEVICES=0,1 on a two-GPU ROCm host, the reported indices are still the host physical ordinals and the KFD count matches, but this predicate returns before applying the sysfs overlay. In that common managed-launcher case the System tab and free-VRAM placement logic fall back to process-local torch values, so VRAM held by the separate llama-server can be missed; this is distinct from the earlier filtered-subset concern because the mask does not actually filter or reorder the devices.

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Intended. An identity mask like HIP_VISIBLE_DEVICES=0,1 does preserve order, but the overlay cannot verify from torch alone that the index is a host-physical ordinal, so it conservatively keeps torch's figures under any mask. Correctness over completeness: it never attributes another card's usage. The unmasked path, which is the common Studio case, still gets the system-wide overlay.

Resolve studio/backend/utils/hardware/hardware.py: keep the merged Windows
ROCm per-adapter VRAM path (unslothai#7238) and add this branch's Linux KFD/DRM
overlay alongside it. The old _rocm_windows_perf_counter_vram_gb helper was
removed on main; drop its stub here.
The docstring claimed a reordering mask keeps each card on the right GPU,
but the overlay skips any active visibility mask and keeps torch's figures.
State the actual gating instead.
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Merged latest main and resolved the conflict in studio/backend/utils/hardware/hardware.py. Main had landed the Windows ROCm per-adapter VRAM fix (#7238) in the same area, so I kept both paths: the Windows per-adapter fix stays and the Linux KFD/DRM overlay from this PR sits alongside it. The merge is additive, with nothing removed from main.

I also tightened the _overlay_system_wide_vram docstring. It said a reordering mask (HIP_VISIBLE_DEVICES=1,0) keeps each card's figures on the right GPU, but the overlay intentionally skips any active visibility mask and keeps torch's figures, so the docstring now states the actual gating.

Both suites pass locally: test_rocm_multi_gpu_vram_system_wide.py (26 passed) and test_rocm_windows_vram_7072.py (15 passed).

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Codex Review: Didn't find any major issues. What shall we delve into next?

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Collapse the verbose docstrings and inline explanations added for the Linux
ROCm system-wide VRAM overlay to succinct one-liners, keeping the non-obvious
rationale (fail-closed KFD mapping, PCI-identity join, mask gating, the 10%
whole-card guard). Comments only, no behavior change.
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danielhanchen merged commit 55433bd into unslothai:main Jul 22, 2026
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[Bug] VRAM Usage in System Tab is wrong.

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