Files
llmgw/internal/agent/discovery/gpm_nvml.go
T
Ilker ManapandClaude Opus 5.5 c866b3a8ee
CI / test (push) Failing after 6m42s
How much of each GPU works, beside whether anything does
The busy figure is nvidia-smi's utilization.gpu: the share of time any
kernel ran, which a kernel on one SM fills. On cuda01 decode read 92% busy
while the SMs had work 69% of the time and issued on 18% of their cycles.

Busy is now said to be that, and beside it: each card's draw against its
power limit (efficiency table, fleet and node charts, the console's GPU
work chart), and where the profiling counters can be read, SMs active, SM
occupancy, tensor cores and DRAM (llmgw_gpu_*_active_percent), from NVML's
GPM on Hopper and later or a dcgm-exporter on the node
(discovery.dcgm_exporter). The GPU map colours by work by default and keeps
busy as a mode. A MIG instance is never published with its card's profile.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 20:11:26 +01:00

125 lines
3.1 KiB
Go

//go:build nvml
package discovery
import (
"sync"
"github.com/NVIDIA/go-nvml/pkg/nvml"
)
// nvmlGPM reads GPM, NVML's own profiling counters, on the cards that have
// them: Hopper and later. Each read takes a sample and works out the metrics
// against the one before, so NVML stays initialised between reads.
type nvmlGPM struct {
mu sync.Mutex
opened bool
failed bool
cards map[int]*gpmCard
}
type gpmCard struct {
dev nvml.Device
prev, cur nvml.GpmSample
havePrevious bool
}
func newGPM() gpmSource { return &nvmlGPM{} }
// The GPM metrics read, in the order they are asked for.
var gpmMetrics = []struct {
id nvml.GpmMetricId
set func(*GPUProfile, float64)
}{
{nvml.GPM_METRIC_SM_UTIL, func(p *GPUProfile, v float64) { p.SMActive = v }},
{nvml.GPM_METRIC_SM_OCCUPANCY, func(p *GPUProfile, v float64) { p.SMOccupancy = v }},
{nvml.GPM_METRIC_ANY_TENSOR_UTIL, func(p *GPUProfile, v float64) { p.TensorActive = v }},
{nvml.GPM_METRIC_DRAM_BW_UTIL, func(p *GPUProfile, v float64) { p.DRAMActive = v }},
}
func (g *nvmlGPM) read() map[int]GPUProfile {
g.mu.Lock()
defer g.mu.Unlock()
if g.failed {
return nil
}
if !g.opened && !g.open() {
g.failed = true
return nil
}
out := map[int]GPUProfile{}
for idx, c := range g.cards {
if c.cur.Get(c.dev) != nvml.SUCCESS {
// A card in MIG mode, or one that has gone: no sample, and the
// next must not be measured against an old one.
c.havePrevious = false
continue
}
if c.havePrevious {
if p, ok := gpmBetween(c.prev, c.cur); ok {
out[idx] = p
}
}
c.prev, c.cur = c.cur, c.prev
c.havePrevious = true
}
return out
}
// open finds the cards with GPM. False is NVML not starting, or no card
// having it, and the reader then never tries again.
func (g *nvmlGPM) open() bool {
if nvml.Init() != nvml.SUCCESS {
return false
}
g.cards = map[int]*gpmCard{}
n, ret := nvml.DeviceGetCount()
if ret != nvml.SUCCESS {
n = 0
}
for i := range n {
dev, ret := nvml.DeviceGetHandleByIndex(i)
if ret != nvml.SUCCESS {
continue
}
sup, ret := dev.GpmQueryDeviceSupport()
if ret != nvml.SUCCESS || sup.IsSupportedDevice == 0 {
continue
}
a, ret := nvml.GpmSampleAlloc()
if ret != nvml.SUCCESS {
continue
}
b, ret := nvml.GpmSampleAlloc()
if ret != nvml.SUCCESS {
_ = a.Free()
continue
}
g.cards[i] = &gpmCard{dev: dev, prev: a, cur: b}
}
if len(g.cards) == 0 {
_ = nvml.Shutdown()
return false
}
g.opened = true
return true
}
// gpmBetween is the profile over the time between two samples.
func gpmBetween(earlier, later nvml.GpmSample) (GPUProfile, bool) {
q := nvml.GpmMetricsGetType{NumMetrics: uint32(len(gpmMetrics)), Sample1: earlier, Sample2: later}
for i, m := range gpmMetrics {
q.Metrics[i].MetricId = uint32(m.id)
}
if nvml.GpmMetricsGet(&q) != nvml.SUCCESS {
return GPUProfile{}, false
}
p := GPUProfile{SMActive: -1, SMOccupancy: -1, TensorActive: -1, DRAMActive: -1, Source: "gpm"}
for i, m := range gpmMetrics {
if r := q.Metrics[i]; r.NvmlReturn == uint32(nvml.SUCCESS) && r.Value >= 0 {
m.set(&p, r.Value)
}
}
return p, true
}