This is the multi-page printable view of this section. Click here to print.

Return to the regular view of this page.

Overview

Service Overview

GPU Server is a virtualized computing service that lets you freely allocate and use infrastructure resources such as CPU, GPU, and memory provided by the server, without having to purchase them individually, and allocate as much as needed at the required time. It is suitable for tasks that require fast computation speed, such as AI model experimentation, prediction, and inference in a cloud environment, and you can flexibly select and use resources with optimized performance based on the type and scale of the work. The GPU Server provides the following features.

Provided Features

  • GPU Server Management: Through a web-based console, users can directly Self Service create, delete, and modify GPU Server provisioning, monitoring, and billing.
  • Product offerings by GPU quantity: Depending on the project’s purpose and scale, you can freely select the number of H100/A100 GPUs to configure a virtual server.
  • High‑Performance GPU Provision: We provide a high‑performance GPU server at physical‑server level using a pass‑through method.
  • Storage Connection: Provides additional attached storage besides the OS disk. * You can connect and use Block Storage, File Storage, and Object Storage.
  • Strong Security Application: Use the Security Group service to control inbound/outbound traffic exchanged with the external internet or other VPC(Virtual Private Cloud), securely protecting the server.
  • Monitoring: You can view monitoring information such as the status of computing resources—including CPU, Memory, Disk, and GPU—through the Cloud Monitoring service.
  • Network Configuration Management: The server’s subnet/IP can be easily changed from the values set at initial creation. * NAT IP provides a management feature that lets you enable or disable it as needed.
  • Key Pair method: To ensure a secure OS access method, we provide a Key Pair method instead of ID/PW login.
  • Image Management: You can create and manage Custom Images, and it provides sharing functionality between projects.
  • ServiceWatch Service Integration Offering: You can monitor data through the ServiceWatch service.

Component

GPU Server provides GPUs, NVSwitch, and NVLink on top of virtualized computing resources.

caution
  • NVSwitch can only be enabled and used for instance types that allocate eight GPUs on a single GPU server.

Specifications by GPU Type

GPU (Graphic Processing Unit) performs the calculations needed to create images that compose the computer screen, and because it is specialized for parallel processing, it can handle large amounts of data quickly, processing large-scale parallel operations such as artificial intelligence (AI) and data analysis.

The following are the specifications of the GPU Types offered by the GPU Server service.

CategoryA100 TypeH100 TypeB300 Type
GPU ArchitectureNVIDIA AmpereNVIDIA HopperNVIDIA Blackwell Ultra
GPU Memory80 GiB80 GiB268 GiB
GPU Transistors54 billion 7N TSMC80 billion 4N TSMC208 billion 4NP TSMC
FP16 Tensor Core (Dense)312 TFLOPs989 TFLOPs2.25 PFLOPs
FP8 Tensor Core (Dense)Not supported1,979 TFLOPs4.5 PFLOPs
FP4 Tensor Core (Dense)UnsupportedNot supported13.5 PFLOPs
GPU Memory Bandwidth2,039 GB/s HBM2e3,352 GB/s HBM38 TB/s HBM3e
NVLink performanceNVLink 3NVLink 4NVLink 5
NVLink Signaling Rate25 GB/s (x12)25 GB/s (x18)50 GB/s (x18)
NVSwitch GPU-to-GPU bandwidth600 GB/s900 GB/s1.8 TB/s
Total NVSwitch aggregate bandwidth4.8 TB/s7.2 TB/s14.4 TB/s
Table. Specifications by GPU Type

Server type

The server types offered by the GPU Server are as follows. For detailed information about the server types provided by GPU Server, refer to GPU Server 서버 타입.

CategoryServer typeCPU vCoreMemory(GB)Number of GPUs
GPU-A100-1g1v16a1162341
GPU-A100-1g1v32a2324682
GPU-A100-1g1v64a4649364
GPU-A100-1g1v128a81281,8728
GPU-H100-2g2v12h1122341
GPU-H100-2g2v24h2244682
GPU-H100-2g2v48h4489364
GPU-H100-2g2v96h8961,8728
GPU-B300-3g3v16b1164801
GPU-B300-3g3v32b2329602
GPU-B300-3g3v64b4641,9204
GPU-B300-3g3v128b81283,8408
Table. GPU Server server type

OS and GPU driver version

The operating systems (OS) supported by the GPU Server are as follows. Note that GPUs of type B300 are supported only from a specific GPU version onward, so please be careful when selecting images.

OSOS versionGPU driver versionServer type classification
Ubuntu24.04580.126.20GPU-B300-3, GPU-H100-2, GPU-A100-1
Ubuntu24.04570.195.03GPU-H100-2, GPU-A100-1
Ubuntu22.04535.183.06GPU-H100-2, GPU-A100-1
RHEL9.6580.126.20GPU-B300-3, GPU-H100-2, GPU-A100-1
RHEL8.10580.126.20GPU-B300-3, GPU-H100-2, GPU-A100-1
RHEL8.10535.183.06GPU-H100-2, GPU-A100-1
Table. GPU Server OS and GPU driver version

Preceding Service

This is a service that must be installed in advance before creating this service. Please prepare by referring to the user guide provided in advance.

Service CategoryserviceDetailed description
NetworkingVPCA service that provides an isolated virtual network in a cloud environment
NetworkingSecurity GroupVirtual firewall that controls server traffic
Table. GPU Server Preliminary Service

1 - Server type

GPU Server server type

GPU servers are categorized by the GPU type they provide, and the GPU used in a GPU server is determined by the server type selected when creating the GPU server. Please select the server type based on the specifications of the application you want to run on the GPU server.

The server types supported by the GPU Server are as follows.

GPU-H100-2 g2v12h1
Category
exampleDetailed description
Server typeGPU-H100-2Provided server type classification
  • GPU-H100-2
    • GPU-H100 indicates the provided GPU type
    • 2 indicates the generation
  • GPU-A100-1
    • GPU-A100 indicates the provided GPU type
    • 1 indicates the generation
Server specificationsg2Provided server type classification and generation
  • g2
    • g means GPU server specification
    • 2 means generation
Server specificationsv12Number of vCores
  • v2: 2 virtual cores
Server specificationsh1GPU type and quantity
  • h1
    • h means GPU-H100
    • 1 means one GPU
  • a2
    • a means GPU-A100
    • 2 means two GPUs
Table. GPU Server server type format

g1 server type

The g1 server type is a GPU Server that uses the NVIDIA A100 Tensor Core GPU, suitable for high-performance applications.

  • Up to 8 NVIDIA A100 Tensor Core GPUs provided
  • Equipped with 6,912 CUDA cores and 432 Tensor cores per GPU
  • Supports up to 128 vCPUs and 1,920 GB of memory
  • Networking speed up to 40 Gbps
  • 600 GB/s GPU and NVIDIA NVSwitch P2P communication
CategoryServer typeGPUCPUMemoryGPU MemoryNetwork Bandwidth
GPU-A100-1g1v16a1116 vCore234 GB80 GiBMaximum 20 Gbps
GPU-A100-1g1v32a2232 vCore468 GB160 GiBUp to 20 Gbps
GPU-A100-1g1v64a4464 vCore936 GB320 GiBMaximum 40 Gbps
GPU-A100-1g1v128a88128 vCore1,872 GB640 GiBMaximum 40 Gbps
Table. GPU Server server type > GPU-A100-1 server type

g2 server type

The g2 server type is a GPU Server that uses the NVIDIA H100 Tensor Core GPU, making it suitable for high-performance applications.

  • Up to 8 NVIDIA H100 Tensor Core GPUs provided
  • Equipped with 16,896 CUDA cores and 528 Tensor cores per GPU
  • Supports up to 96 vCPUs and 1,920 GB of memory
  • Networking speed up to 40 Gbps
  • 900 GB/s GPU and NVIDIA NVSwitch P2P communication
CategoryServer typeGPUCPUMemoryGPU MemoryNetwork Bandwidth
GPU-H100-2g2v12h1112 vCore234 GB80 GiBUp to 20 Gbps
GPU-H100-2g2v24h2224 vCore468 GB160 GiBUp to 20 Gbps
GPU-H100-2g2v48h4448 vCore936 GB320 GiBMaximum 40 Gbps
GPU-H100-2g2v96h8896 vCore1,872 GB640 GiBMaximum 40 Gbps
Table. GPU Server server type > GPU-H100-2 server type

g3 server type

The g3 server type is a GPU Server that uses the NVIDIA B300 Tensor Core GPU, making it suitable for high-performance applications.

  • Up to 8 NVIDIA B300 Tensor Core GPUs provided
  • Equipped with 20,480 CUDA cores and 640 Tensor cores per GPU
  • Supports up to 128 vCPUs and 3,840 GB of memory.
  • Maximum 40 Gbps networking speed
  • 1.8 TB/s GPU and NVIDIA NVSwitch P2P communication
CategoryServer typeGPUCPUMemoryGPU MemoryNetwork Bandwidth
GPU-B300-3g3v16b1116 vCore480 GB268 GiBUp to 20 Gbps
GPU-B300-3g3v32b2232 vCore960 GB536 GiBUp to 20 Gbps
GPU-B300-3g3v64b4464 vCore1,920 GB1,072 GiBUp to 40 Gbps
GPU-B300-3g3v128b88128 vCore3,840 GB2,144 GiBMaximum 40 Gbps
Table. GPU Server server type > GPU-B300-3 server type

2 - Monitoring Metrics

Cloud Monitoring service termination notice

According to Samsung Cloud Platform’s policy, the Cloud Monitoring service is scheduled to be discontinued in September 2026.
Accordingly, after the September 2026 release, resource monitoring of the Samsung Cloud Platform via Cloud Monitoring will no longer be possible.

With the new alternative service, you can continuously perform resource monitoring by leveraging ServiceWatch released in October 2025.
ServiceWatch provides more modern and powerful features, replacing Cloud Monitoring to deliver a seamless monitoring environment.

If you are collecting metrics and logs through the Cloud Monitoring Agent, you need to switch to the ServiceWatch Agent.

For detailed information about ServiceWatch, please refer to ServiceWatch Overview.
Detailed information about ServiceWatch Agent can be found in the ServiceWatch Agent.

GPU Server Monitoring Metrics

The table below shows the monitoring metrics of the GPU server that can be viewed through Cloud Monitoring.

Even without installing the Agent, it provides basic monitoring metrics and the table below. Please check the GPU Server monitoring metrics (provided by default). Additionally, the metrics that can be viewed by installing the Agent are in the table. Please refer to the additional monitoring metrics for GPU Server (Agent installation required).

For detailed usage of Cloud Monitoring, refer to the Cloud Monitoring guide.

Performance Item NameExplanationunit
Memory Total [Basic]bytes of usable memorybytes
Memory Used [Basic]bytes of currently used memorybytes
Memory Swap In [Basic]bytes of the replaced memorybytes
Memory Swap Out [Basic]bytes of the replaced memorybytes
Memory Free [Basic]bytes of unused memorybytes
Disk Read Bytes [Basic]Read bytesbytes
Disk Read Requests [Basic]Number of read requestscnt
Disk Write Bytes [Basic]write bytesbytes
Disk Write Requests [Basic]Number of write requestscnt
CPU Usage [Basic]Average system CPU usage over 1 minute%
Instance State [Basic]Instance statusstate
Network In Bytes [Basic]Received bytesbytes
Network In Dropped [Basic]Incoming packet dropcnt
Network In Packets [Basic]Number of received packetscnt
Network Out Bytes [Basic]sent bytesbytes
Network Out Dropped [Basic]Transmit packet dropcnt
Network Out Packets [Basic]Number of transmitted packetscnt
Table. GPU Server Basic Monitoring Metrics (Provided by Default)
Performance Item NameExplanationunit
GPU CountNumber of GPUscnt
GPU Memory UsageMemory usage rate%
GPU Memory UsedMemory usageMB
GPU TemperatureGPU temperature
GPU Usageutilization%
GPU Usage [Avg]Overall average GPU utilization (%)%
GPU Power CapMaximum power capacity of the GPUW
GPU Power UsageCurrent GPU power usageW
GPU Memory Usage [Avg]GPU Memory Uti. AVG%
GPU Count in useNumber of GPUs in use by jobs on the nodecnt
Execution Status for nvidia-smiResult of running the nvidia-smi commandstatus
Core Usage [IO Wait]Ratio of CPU time spent in wait state (disk wait)%
Core Usage [System]Proportion of CPU time spent in kernel space%
Core Usage [User]Proportion of CPU time spent in user space%
CPU CoresNumber of CPU cores on the hostcnt
CPU Usage [Active]Percentage of CPU time used, excluding Idle and IOWait states%
CPU Usage [Idle]It is the proportion of CPU time spent in idle state.%
CPU Usage [IO Wait]The proportion of CPU time spent in a waiting state (disk wait).%
CPU Usage [System]Percentage of CPU time used by the kernel%
CPU Usage [User]Percentage of CPU time used in user space.%
CPU Usage/Core [Active]Percentage of CPU time used other than Idle and IOWait states%
CPU Usage/Core [Idle]It is the proportion of CPU time spent in idle state.%
CPU Usage/Core [IO Wait]This is the proportion of CPU time spent in a waiting state (disk wait).%
CPU Usage/Core [System]Percentage of CPU time used by the kernel%
CPU Usage/Core [User]Percentage of CPU time used in user space.%
Disk CPU Usage [IO Request]Proportion of CPU time during which I/O requests to the device were executed%
Disk Queue Size [Avg]The average queue length of requests executed for the device.num
Disk Read BytesThe number of bytes read per second from the device.bytes
Disk Read Bytes [Delta Avg]Average of system.diskio.read.bytes_delta for individual disksbytes
Disk Read Bytes [Delta Max]Maximum system.diskio.read.bytes_delta of individual disksbytes
Disk Read Bytes [Delta Min]Minimum system.diskio.read.bytes_delta of individual disksbytes
Disk Read Bytes [Delta Sum]Sum of the system.diskio.read.bytes_delta of individual disksbytes
Disk Read Bytes [Delta]Delta of the system.diskio.read.bytes value for each diskbytes
Disk Read Bytes [Success]Total number of bytes successfully read.bytes
Disk Read RequestsNumber of read requests to the disk device per secondcnt
Disk Read Requests [Delta Avg]Average of the system.diskio.read.count_delta for individual diskscnt
Disk Read Requests [Delta Max]Maximum system.diskio.read.count_delta for individual diskscnt
Disk Read Requests [Delta Min]Minimum of system.diskio.read.count_delta for individual diskscnt
Disk Read Requests [Delta Sum]Sum of system.diskio.read.count_delta for individual diskscnt
Disk Read Requests [Success Delta]Delta of system.diskio.read.count for each diskcnt
Disk Read Requests [Success]Total number of successful readscnt
Disk Request Size [Avg]The average size of requests executed on the device (unit: sectors).num
Disk Service Time [Avg]Average service time (milliseconds) of input requests executed on the device.ms
Disk Wait Time [Avg]Average time taken for requests executed on the supported device.ms
Disk Wait Time [Read]Average disk wait timems
Disk Wait Time [Write]Average disk wait timems
Disk Write Bytes [Delta Avg]Average of system.diskio.write.bytes_delta for each diskbytes
Disk Write Bytes [Delta Max]Maximum system.diskio.write.bytes_delta of individual disksbytes
Disk Write Bytes [Delta Min]Minimum of system.diskio.write.bytes_delta for individual disksbytes
Disk Write Bytes [Delta Sum]Sum of system.diskio.write.bytes_delta for individual disksbytes
Disk Write Bytes [Delta]Delta of the system.diskio.write.bytes value for each diskbytes
Disk Write Bytes [Success]Total number of bytes successfully written.bytes
Disk Write RequestsNumber of write requests to the disk device per secondcnt
Disk Write Requests [Delta Avg]Average of system.diskio.write.count_delta for individual diskscnt
Disk Write Requests [Delta Max]Maximum system.diskio.write.count_delta for individual diskscnt
Disk Write Requests [Delta Min]Minimum of system.diskio.write.count_delta for individual diskscnt
Disk Write Requests [Delta Sum]Sum of the system.diskio.write.count_delta of individual diskscnt
Disk Write Requests [Success Delta]Delta of system.diskio.write.count for each diskcnt
Disk Write Requests [Success]Total number of successful writescnt
Disk Writes BytesIt is the number of bytes per second written to the device.bytes
Filesystem Hang Checkfilesystem (local/NFS) hang check (normal:1, abnormal:0)status
Filesystem NodesIt is the total number of file nodes in the file system.cnt
Filesystem Nodes [Free]It is the total number of available file nodes in the file system.cnt
Filesystem Size [Available]Disk space (bytes) available to unauthorized usersbytes
Filesystem Size [Free]Available disk space (bytes)bytes
Filesystem Size [Total]Total disk space (bytes)bytes
Filesystem UsageUsed disk space percentage%
Filesystem Usage [Avg]Average of individual filesystem.used.pct values%
Filesystem Usage [Inode]inode usage%
Filesystem Usage [Max]Maximum among individual filesystem.used.pct%
Filesystem Usage [Min]minimum among individual filesystem.used.pct%
Filesystem Usage [Total]-%
Filesystem UsedUsed disk space (bytes)bytes
Filesystem Used [Inode]inode usagebytes
Memory FreeTotal amount of available memory (bytes).bytes
Memory Free [Actual]Actual usable memory (bytes).bytes
Memory Free [Swap]Available swap memory.bytes
Memory Totaltotal memorybytes
Memory Total [Swap]Total swap memory.bytes
Memory UsagePercentage of used memory%
Memory Usage [Actual]Percentage of memory actually used%
Memory Usage [Cache Swap]cached swap usage rate%
Memory Usage [Swap]Percentage of used swap memory%
Memory Usedused memorybytes
Memory Used [Actual]Actual memory used (bytes).bytes
Memory Used [Swap]Swap memory used.bytes
CollisionsNetwork collisioncnt
Network In BytesNumber of received bytesbytes
Network In Bytes [Delta Avg]Average of system.network.in.bytes_delta for individual networksbytes
Network In Bytes [Delta Max]Maximum of system.network.in.bytes_delta for each networkbytes
Network In Bytes [Delta Min]Minimum system.network.in.bytes_delta for each networkbytes
Network In Bytes [Delta Sum]Sum of system.network.in.bytes_delta for individual networksbytes
Network In Bytes [Delta]Delta of received byte countbytes
Network In DroppedNumber of deleted packets among incoming packetscnt
Network In ErrorsNumber of errors during receptioncnt
Network In PacketsNumber of received packetscnt
Network In Packets [Delta Avg]Average of system.network.in.packets_delta for each networkcnt
Network In Packets [Delta Max]Maximum of system.network.in.packets_delta for each networkcnt
Network In Packets [Delta Min]Minimum of system.network.in.packets_delta for individual networkscnt
Network In Packets [Delta Sum]Sum of system.network.in.packets_delta for individual networkscnt
Network In Packets [Delta]Delta of received packet countcnt
Network Out BytesNumber of transmitted bytesbytes
Network Out Bytes [Delta Avg]Average of system.network.out.bytes_delta for each networkbytes
Network Out Bytes [Delta Max]Maximum of system.network.out.bytes_delta for individual networksbytes
Network Out Bytes [Delta Min]Minimum of system.network.out.bytes_delta for individual networksbytes
Network Out Bytes [Delta Sum]Sum of system.network.out.bytes_delta for individual networksbytes
Network Out Bytes [Delta]Delta of transmitted byte countbytes
Network Out DroppedNumber of deleted packets among outgoing packets.cnt
Network Out ErrorsNumber of errors during transmissioncnt
Network Out PacketsNumber of transmitted packetscnt
Network Out Packets [Delta Avg]Average of system.network.out.packets_delta for each networkcnt
Network Out Packets [Delta Max]Maximum of system.network.out.packets_delta for each networkcnt
Network Out Packets [Delta Min]Minimum of system.network.out.packets_delta for each networkcnt
Network Out Packets [Delta Sum]Sum of system.network.out.packets_delta for individual networkscnt
Network Out Packets [Delta]Delta of transmitted packet countcnt
Open Connections [TCP]All open TCP connectionscnt
Open Connections [UDP]All open UDP connectionscnt
Port UsageAvailable port usage rate%
SYN Sent SocketsNumber of sockets in SYN_SENT state (when connecting from local to remote)cnt
Kernel PID Maxkernel.pid_max valuecnt
Kernel Thread Maxkernel.threads-max valuecnt
Process CPU UsagePercentage of CPU time consumed by the process since the last update.%
Process CPU Usage/CorePercentage of CPU time used by the process since the last event.%
Process Memory UsageProportion of main memory (RAM) occupied by a process%
Process Memory UsedResident Set size. The amount of memory a process occupies in RAM.bytes
Process PIDprocess pidPID
Process PPIDparent process PIDPID
Processes [Dead]Number of dead processescnt
Processes [Idle]Number of idle processescnt
Processes [Running]Number of running processescnt
Processes [Sleeping]Number of sleeping processescnt
Processes [Stopped]stopped processes countcnt
Processes [Total]Total number of processescnt
Processes [Unknown]Number of processes with an unsearchable or unknown statuscnt
Processes [Zombie]Zombie processes countcnt
Running Process Usageprocess usage rate%
Running ProcessesNumber of running processescnt
Running Thread UsageThread usage rate%
Running ThreadsTotal number of threads running in running processescnt
Context Switchescontext switch count (per second)cnt
Load/Core [1 min]The load over the last 1 minute divided by the number of corescnt
Load/Core [15 min]The load over the last 15 minutes divided by the number of corescnt
Load/Core [5 min]The load over the last 5 minutes divided by the number of corescnt
Multipaths [Active]External storage connection path status = active countcnt
Multipaths [Failed]External storage connection path status = failed countcnt
Multipaths [Faulty]External storage connection path status = faulty countcnt
NTP Offsetmeasured offset of the last sample (the time difference between the NTP server and the local environment)num
Run Queue LengthExecution queue lengthnum
UptimeOS uptime (milliseconds).ms
Context SwitchiesCPU context switch count (per second)cnt
Disk Read Bytes [Sec]Number of bytes read from a Windows logical disk in 1 secondcnt
Disk Read Time [Avg]Average data read time (seconds)sec
Disk Transfer Time [Avg]Disk average wait timesec
Disk UsageDisk usage%
Disk Write Bytes [Sec]Number of bytes written in one second on a Windows logical diskcnt
Disk Write Time [Avg]Average data write time (seconds)sec
Pagingfile UsagePaging file usage%
Pool Used [Non Paged]Nonpaged Pool usage in kernel memorybytes
Pool Used [Paged]Paged Pool usage in kernel memorybytes
Process [Running]Number of currently running processescnt
Threads [Running]Number of currently running threadscnt
Threads [Waiting]Number of threads waiting for processor timecnt
Table. Additional monitoring metrics for GPU Server (Agent installation required)

3 - ServiceWatch Metrics

The GPU Server sends metrics to ServiceWatch. The metrics provided by default monitoring are data collected at 5‑minute intervals. If detailed monitoring is enabled, you can view data collected at 1‑minute intervals.

information
  • The basic and detailed monitoring of the GPU Server are provided with the same metrics as the Virtual Server, and the namespace is also provided as Virtual Server.
  • GPU-related metrics are provided through ServiceWatch Agent, and for instructions on collecting metrics using ServiceWatch Agent, refer to the ServiceWatch Agent guide.
Reference
For how to view metrics in ServiceWatch, refer to the ServiceWatch guide.

Refer to How-to guides > ServiceWatch Detailed Monitoring Activation for how to enable detailed monitoring of the GPU Server.

Basic Metrics

The following are the basic metrics for the Virtual Server namespace.

The indicators whose names are displayed in bold below are the key indicators selected among the basic indicators provided by Virtual Server. The key metrics are used to build service dashboards that are automatically created for each service in ServiceWatch.

Each metric indicates through the user guide which statistical value is meaningful to view for that metric, and among the meaningful statistics, the statistical values shown in bold text are the primary statistics. In the service dashboard, you can view primary metrics using the primary statistical values.

Performance itemsDetailed descriptionunitmeaningful statistics
Instance StateInstance status display
  • 1 - Active
  • 0 - Off
None
  • Total
CPU UsageCPU usagePercent
  • Average
  • Maximum
  • Minimum
Disk Read BytesBytes read from block device (bytes)Bytes
  • Total
  • Average
  • Maximum
  • Minimum
Disk Read RequestsNumber of read requests on a block deviceCount
  • Total
  • Average
  • Maximum
  • Minimum
Disk Write BytesWrite capacity (bytes) on block deviceBytes
  • Total
  • Average
  • Maximum
  • Minimum
Disk Write RequestsNumber of write requests on block deviceCount
  • Total
  • Average
  • Maximum
  • Minimum
Network In BytesReceived bytes (capacity) on the network interfaceBytes
  • Total
  • Average
  • Maximum
  • Minimum
Network In DroppedNumber of packet drops received on the network interfaceCount
  • Total
  • Average
  • Maximum
  • Minimum
Network In PacketsNumber of packets received on the network interfaceCount
  • Total
  • Average
  • Maximum
  • Minimum
Network Out BytesData transmitted on the network interface (bytes)Bytes
  • Total
  • Average
  • Maximum
  • Minimum
Network Out DroppedNumber of packet drops transmitted from the network interfaceCount
  • Total
  • Average
  • Maximum
  • Minimum
Network Out PacketsNumber of packets transmitted on the network interfaceCount
  • Total
  • Average
  • Maximum
  • Minimum
Table. Virtual Server Basic Metrics