Ensure max number of SM are allocated by mig-parted

Signed-off-by: Arjun <agadiyar@nvidia.com>

Author: JunAr7112

pkg/nvlib/device/device.go

@@ -373,8 +373,8 @@ func (d *device) VisitMigProfiles(visit func(MigProfile) error) error {
 			return fmt.Errorf("error getting GPU Instance profile info: %v", ret)
 		}
 
-		for j := 0; j < nvml.COMPUTE_INSTANCE_PROFILE_COUNT; j++ {
-			for k := 0; k < nvml.COMPUTE_INSTANCE_ENGINE_PROFILE_COUNT; k++ {
+		for j := nvml.COMPUTE_INSTANCE_PROFILE_COUNT - 1; j >= 0; j-- {
+			for k := nvml.COMPUTE_INSTANCE_ENGINE_PROFILE_COUNT - 1; k >= 0; k-- {
 				p, err := d.lib.NewMigProfile(i, j, k, giProfileInfo.MemorySizeMB, memory.Total)
 				if err != nil {
 					return fmt.Errorf("error creating MIG profile: %v", err)
@@ -396,6 +396,25 @@ func (d *device) VisitMigProfiles(visit func(MigProfile) error) error {
 				if (pi.C < pi.G) && ((pi.C * 2) > (pi.G + 1)) {
 					continue
 				}
+				// NOTE: As we iterate through the profiles by GPU instance count and Compute instance count, we will find revisions
+				// of the COMPUTE_INSTANCE_PROFILE that have the same slice count. In these cases, we need to ensure that we pick the
+				// COMPUTE_INSTANCE_PROFILE with the maximum multiprocessor (SM) count, that is still valid for the GPU instance profile.
+				//
+				// For example: On systems like the H100, the MIG profiles 1g.12gb and 1g.24gb are both supported and will have one cislice.
+				// Given the higher memory capacity, the 1g.24gb profile would be compatible with both the COMPUTE_INSTANCE_PROFILE_1_SLICE
+				// and the COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1. However, the 1g.12gb profile would only be compatible with the
+				// COMPUTE_INSTANCE_PROFILE_1_SLICE. To ensure that we have the CI profile with the maximum compatible SM count, the 1g.12gb
+				// should use the COMPUTE_INSTANCE_PROFILE_1_SLICE and 1g.24gb should use the COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1.
+				//
+				// While iterating through the GPU instance profiles (d.GetGpuInstanceProfileInfo(i)), we need to ensure that we pick the
+				// correct CI profile/revision. For the above example, we will find that GPU_INSTANCE_PROFILE_1_SLICE is only compatible with
+				// COMPUTE_INSTANCE_PROFILE_1_SLICE. The GPU_INSTANCE_PROFILE_1_SLICE_REV2 (when available for systems like the H100) can be
+				// deployed with both COMPUTE_INSTANCE_PROFILE_1_SLICE and COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1, but to maximize performance,
+				// we should pick the COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1 profile. The following check is a temporary workaround to ensure
+				// that we pick the correct COMPUTE_INSTANCE_PROFILE revision.
+				if pi.CIProfileID == nvml.COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1 && pi.GIProfileID != nvml.GPU_INSTANCE_PROFILE_1_SLICE_REV2 {
+					continue
+				}
 
 				err = visit(p)
 				if err != nil {