Enum: ComputingResourceType

Categories of computing resource used by AI systems, drawn from Clauses 8.6 (cloud and edge computing) and 8.7 (resource pools).

URI: iso22989:ComputingResourceType

Permissible Values

Value	Meaning	Description
cloud	None	Centralised, elastically provisioned computing resources accessed over a netw...
edge	None	Computing resources located close to data sources or end users
on_premises	None	Computing resources owned and operated within the organisation's own faciliti...
cpu	None	General-purpose central-processing-unit compute capacity
gpu	None	Graphics-processing-unit compute capacity, commonly used for neural network t...
tpu	None	Tensor-processing-unit or similar accelerator specialised for ML workloads
asic	None	Application-specific integrated circuit designed for a fixed AI workload (Cla...
fpga	None	Field-programmable gate array offering reconfigurable hardware acceleration
npu	None	Neural-network processing unit specialised for neural-network inference and t...
dsp	None	Digital signal processor used to accelerate signal-processing workloads

Slots

Name	Description
computing_resources	Computing resource types relied upon
resource_type	Category of computing resource (Clause 8

In Subsets

• AiEcosystem

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/lmodel/iso22989

LinkML Source

name: ComputingResourceType
description: Categories of computing resource used by AI systems, drawn from Clauses
  8.6 (cloud and edge computing) and 8.7 (resource pools).
in_subset:
- ai_ecosystem
from_schema: https://w3id.org/lmodel/iso22989
rank: 1000
permissible_values:
  cloud:
    text: cloud
    description: Centralised, elastically provisioned computing resources accessed
      over a network.
  edge:
    text: edge
    description: Computing resources located close to data sources or end users.
  on_premises:
    text: on_premises
    description: Computing resources owned and operated within the organisation's
      own facilities.
  cpu:
    text: cpu
    description: General-purpose central-processing-unit compute capacity.
  gpu:
    text: gpu
    description: Graphics-processing-unit compute capacity, commonly used for neural
      network training and inference.
  tpu:
    text: tpu
    description: Tensor-processing-unit or similar accelerator specialised for ML
      workloads.
  asic:
    text: asic
    description: Application-specific integrated circuit designed for a fixed AI workload
      (Clause 8.7.2).
  fpga:
    text: fpga
    description: Field-programmable gate array offering reconfigurable hardware acceleration.
  npu:
    text: npu
    description: Neural-network processing unit specialised for neural-network inference
      and training.
  dsp:
    text: dsp
    description: Digital signal processor used to accelerate signal-processing workloads.