Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
On this page

Show all

Basic Metrics: ModelArts Metrics

Updated on 2024-11-14 GMT+08:00

This section describes the ModelArts metrics reported to AOM through the Agent.

Table 1 Metrics reported by ModelArts to AOM through the Agent

Category

Metric

Metric Name

Description

Value Range

Unit

CPU

ma_container_cpu_util

CPU Usage

CPU usage of a measured object

0–100

%

ma_container_cpu_used_core

Used CPU Cores

Number of CPU cores used by a measured object

≥ 0

Cores

ma_container_cpu_limit_core

Total CPU Cores

Total number of CPU cores that have been applied for a measured object

≥ 1

Cores

Memory

ma_container_memory_capacity_megabytes

Memory

Total physical memory that has been applied for a measured object

≥ 0

MB

ma_container_memory_util

Physical Memory Usage

Percentage of the used physical memory to the total physical memory applied for a measured object

0–100

%

ma_container_memory_used_megabytes

Used Physical Memory

Physical memory that has been used by a measured object (container_memory_working_set_bytes in the current working set). (Memory usage in a working set = Active anonymous and cache, and file-baked page ≤ container_memory_usage_bytes)

≥ 0

MB

Storage I/O

ma_container_disk_read_kilobytes

Disk Read Rate

Volume of data read from a disk per second

≥ 0

KB/s

ma_container_disk_write_kilobytes

Disk Write Rate

Volume of data written into a disk per second

≥ 0

KB/s

GPU memory

ma_container_gpu_mem_total_megabytes

GPU Memory Capacity

Total GPU memory of a training job

> 0

MB

ma_container_gpu_mem_util

GPU Memory Usage

Percentage of the used GPU memory to the total GPU memory

0–100

%

ma_container_gpu_mem_used_megabytes

Used GPU Memory

GPU memory used by a measured object

≥ 0

MB

GPU

ma_container_gpu_util

GPU Usage

GPU usage of a measured object

0–100

%

ma_container_gpu_mem_copy_util

GPU Memory Bandwidth Usage

GPU memory bandwidth usage of a measured object. For example, the maximum memory bandwidth of NVIDIA GPU V100 is 900 GB/s. If the current memory bandwidth is 450 GB/s, the memory bandwidth usage is 50%.

0–100

%

ma_container_gpu_enc_util

GPU Encoder Usage

GPU encoder usage of a measured object

0–100

%

ma_container_gpu_dec_util

GPU Decoder Usage

GPU decoder usage of a measured object

0–100

%

DCGM_FI_DEV_GPU_TEMP

GPU Temperature

GPU temperature

> 0

°C

DCGM_FI_DEV_POWER_USAGE

GPU Power

GPU power

> 0

W

DCGM_FI_DEV_MEMORY_TEMP

Memory Temperature

Memory temperature

> 0

°C

DCGM_FI_PROF_GR_ENGINE_ACTIVE

Graphics Engine Activity

Percentage of the time when the graphic or compute engine is in the active state within a period. This is an average value of all graphic or compute engines. An active graphic or compute engine indicates that the graphic or compute context is associated with a thread and the graphic or compute context is busy.

0–1.0

Percentage (fraction)

DCGM_FI_PROF_SM_OCCUPANCY

SM Occupancy

Ratio of the number of thread bundles that reside on the SM to the maximum number of thread bundles that can reside on the SM within a period.

This is an average value of all SMs within a period.

A high value does not mean a high GPU usage. Only when the GPU memory bandwidth is limited, a high value of workloads (DCGM_FI_PROF_DRAM_ACTIVE) indicates more efficient GPU usage.

0–1.0

Percentage (fraction)

DCGM_FI_PROF_PIPE_TENSOR_ACTIVE

Tensor Activity

Fraction of the period during which the tensor (HMMA/IMMA) pipe is active.

This is an average value within a period, not an instantaneous value.

A higher value indicates a higher utilization of tensor cores.

Value 1 (100%) indicates that a tensor instruction is sent every instruction cycle in the entire period (one instruction is completed in two cycles).

If the value is 0.2 (20%), the possible causes are as follows:

During the entire period, 20% of the SM tensor cores run at 100% utilization.

During the entire period, all SM tensor cores run at 20% utilization.

During 1/5 of the entire period, all SM tensor cores run at 100% utilization.

Other combinations

0–1.0

Percentage (fraction)

DCGM_FI_PROF_DRAM_ACTIVE

Memory BW Utilization

Percentage of the time for sending data to or receiving data from the device memory within a period.

This is an average value within a period, not an instantaneous value.

A higher value indicates a higher utilization of device memory.

Value 1 (100%) indicates that a DRAM instruction is executed once per cycle throughout a period (the maximum value can be reached at a peak of about 0.8).

If the value is 0.2 (20%), indicating that data is read from or written into the device memory during 20% of the cycle within a period.

0–1.0

Percentage (fraction)

DCGM_FI_PROF_PIPE_FP16_ACTIVE

FP16 Engine Activity

Fraction of the period during which the FP16 (half-precision) pipe is active.

This is an average value within a period, not an instantaneous value.

A larger value indicates a higher usage of FP16 cores.

Value 1 (100%) indicates that the FP16 instruction is executed every two cycles (for example, Volta cards) in a period.

If the value is 0.2 (20%), the possible causes are as follows:

During the entire period, 20% of the SM FP16 cores run at 100% utilization.

During the entire period, all SM FP16 cores run at 20% utilization.

During 1/5 of the entire period, all SM FP16 cores run at 100% utilization.

Other combinations

0–1.0

Percentage (fraction)

DCGM_FI_PROF_PIPE_FP32_ACTIVE

FP32 Engine Activity

Fraction of the period during which the fused multiply-add (FMA) pipe is active. Multiply-add applies to FP32 (single precision) and integers.

This is an average value within a period, not an instantaneous value.

A larger value indicates a higher usage of FP32 cores.

Value 1 (100%) indicates that the FP32 instruction is executed every two cycles (for example, Volta cards) in a period.

If the value is 0.2 (20%), the possible causes are as follows:

During the entire period, 20% of the SM FP32 cores run at 100% utilization.

During the entire period, all SM FP32 cores run at 20% utilization.

During 1/5 of the entire period, all SM FP32 cores run at 100% utilization.

Other combinations

0–1.0

Percentage (fraction)

DCGM_FI_PROF_PIPE_FP64_ACTIVE

FP64 Engine Activity

Fraction of the period during which the FP64 (double precision) pipe is active.

This is an average value within a period, not an instantaneous value.

A larger value indicates a higher usage of FP64 cores.

Value 1 (100%) indicates that the FP64 instruction is executed every four cycles (for example, Volta cards) in a period.

If the value is 0.2 (20%), the possible causes are as follows:

During the entire period, 20% of the SM FP64 cores run at 100% utilization.

During the entire period, all SM FP64 cores run at 20% utilization.

During 1/5 of the entire period, all SM FP64 cores run at 100% utilization.

Other combinations

0–1.0

Percentage (fraction)

DCGM_FI_PROF_SM_ACTIVE

SM Activity

Fraction of the time during which at least one thread bundle is active on an SM within a period.

This is an average value of all SMs and is insensitive to the number of threads in each block.

A thread bundle is active after being scheduled and allocated with resources. The thread bundle may be in the computing state or a non-computing state (for example, waiting for a memory request).

If the value is less than 0.5, GPUs are not efficiently used. The value should be greater than 0.8.

For example, a GPU has N SMs:

A kernel function uses N thread blocks to run on all SMs in a period. In this case, the value is 1 (100%).

A kernel function runs N/5 thread blocks in a period. In this case, the value is 0.2.

A kernel function uses N thread blocks and runs only 1/5 of cycles in a period. In this case, the value is 0.2.

0–1.0

Percentage (fraction)

DCGM_FI_PROF_PCIE_TX_BYTES

DCGM_FI_PROF_PCIE_RX_BYTES

PCIe Bandwidth

Rate of data transmitted or received over the PCIe bus, including the protocol header and data payload.

This is an average value within a period, not an instantaneous value.

The rate is averaged over the period. For example, if 1 GB of data is transmitted within 1 second, the transmission rate is 1 GB/s regardless of whether the data is transmitted at a constant rate or burst. Theoretically, the maximum PCIe Gen3 bandwidth is 985 MB/s per channel.

≥ 0

Bytes/s

DCGM_FI_PROF_NVLINK_RX_BYTES

DCGM_FI_PROF_NVLINK_TX_BYTES

NVLink Bandwidth

Rate at which data is transmitted or received through NVLink, excluding the protocol header.

This is an average value within a period, not an instantaneous value.

The rate is averaged over the period. For example, if 1 GB of data is transmitted within 1 second, the transmission rate is 1 GB/s regardless of whether the data is transmitted at a constant rate or burst. Theoretically, the maximum NVLink Gen2 bandwidth is 25 GB/s per link in each direction.

≥ 0

Bytes/s

Network I/O

ma_container_network_receive_bytes

Downlink Rate (BPS)

Inbound traffic rate of a measured object

≥ 0

Bytes/s

ma_container_network_receive_packets

Downlink Rate (PPS)

Number of data packets received by a NIC per second

≥ 0

Packets/s

ma_container_network_receive_error_packets

Downlink Error Rate

Number of error packets received by a NIC per second

≥ 0

Count/s

ma_container_network_transmit_bytes

Uplink Rate (BPS)

Outbound traffic rate of a measured object

≥ 0

Bytes/s

ma_container_network_transmit_error_packets

Uplink Error Rate

Number of error packets sent by a NIC per second

≥ 0

Count/s

ma_container_network_transmit_packets

Uplink Rate (PPS)

Number of data packets sent by a NIC per second

≥ 0

Packets/s

NPU

ma_container_npu_util

NPU Usage

NPU usage of a measured object

0–100

%

ma_container_npu_memory_util

NPU Memory Usage

Percentage of the used NPU memory to the total NPU memory

0–100

%

ma_container_npu_memory_used_megabytes

Used NPU Memory

NPU memory used by a measured object

≥ 0

MB

ma_container_npu_memory_total_megabytes

Total NPU Memory

Total NPU memory of a measured object

≥ 0

MB

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback