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IDC's Worldwide Computing Platforms Taxonomy, 2022

Publisher IDC
Published Feb 18, 2022
Length 40 Pages
SKU # IDC16986334

Description

IDC's Worldwide Computing Platforms Taxonomy, 2022

This IDC study provides an overview of computing platforms market. It is mostly unchanged from the 2021 version, which saw a significant overhaul to include non-rack and custom rack form factors (including accommodations for systems deployed in supercomputing). It was updated to better align the form factor and deployment segmentation. Finally, newer approaches such as function acceleration and disaggregated infrastructure were moved to the Additional Computing Platforms Attributes section."Computing platforms are foundational for the future digital infrastructure. Computing platforms are transcending from classical to a quantum paradigm, and there is much to be disrupted as companies transition between the two," says Ashish Nadkarni, group VP, Infrastructure Systems, Platforms, and Technologies.

Please Note: Extended description available upon request.

Table of Contents

40 Pages
IDC's Worldwide Computing Platforms Taxonomy
Computing Platforms Taxonomy Changes for 2022
Research Additions
Research Move/Reclassification
Taxonomy Overview
Definitions
Computing Platforms
Top-Level Classification: Classical Versus Nonclassical Computing
Classical Computing
User-Centric Computing
Network-Centric Computing
Neuromorphic Computing
Quantum Computing
Segmenting Classical Computing Platforms: Workflow
Primary Access
User-Centric Computing Platforms
Network-Centric Computing Platforms
Form Factors
Small Form Factors (Non-Rack Form Factors)
Medium-Sized Form Factors (Rack Form Factors)
Large Form Factors (Standalone Rack)
Functionality
Fixed Function (Single Workload)
Variable Function (Multi-Workload)
Packaging Flexibility
General-Purpose Platforms
Purpose-Built Platforms
Appliances
Note on Operating System Environments
Computing Platforms and Systems Primary Segments: Form Factors
Small Platforms (Non-Rack Form Factors)
Pods
Microservers
Tower Servers
Workstations
Personal Workstations
Datacenter Workstations
Medium-Sized Platforms (Rack Form Factors)
Rack Optimized
Modular Servers
Modular — Blade Servers
Modular — Multinode Servers
Custom Rack Servers
Expansion Units
Compute Expansion Units
Storage Expansion Units
Large Platforms (Standalone Rack)
Large Systems
Custom Systems
Mapping Form Factor to Enterprise Infrastructure and Server Trackers
Computing Platforms and Systems Primary Segments: Deployment
Endpoint Computing Platforms (Endpoints)
Core Computing Platforms (Servers)
Edge Computing Platforms (Edge Platforms)
Heavy Edge Platforms
Light Edge Platforms
Packaged/Intelligent Systems
Differentiating Between Core, Edge, and Endpoints
Additional Computing Platforms Attributes
Computing Complication
Standalone (Discrete)
Integrated (System on a Chip)
Accelerated (Offload)
Workload or Function (Offload) Accelerators
Disaggregated/Distributed
Primary Processor Architecture
x86/x64
ARM 32/64
Complex Instruction Set Computer
Reduced Instruction Set Computer
Explicitly Parallel Instruction Computing
Other
RISC-V
European Processor Initiative
Primary Processor Attributes
Socket Capability
Processor Count
Core Count
Processor Capability
Platform Class and Price Bands
Availability
AL1 (No Special Provisions)
AL2 (Workload-Balancing Servers)
AL3 (Clustered Servers)
AL4 (Fault-Tolerant Servers)
Media and Memory
Memory
Persistent Memory
Storage-Class Memory
NAND Flash
Rotational/Magnetic Media (Hard Disk Drives)
Convergence and Scaling
Standalone Platforms
Integrated Infrastructure Systems and Platforms
Hyperconverged Systems
Composable/Disaggregated Systems
Parallelized Systems (Clusters)
Interfaces (Adapters), Interconnects, and Fabrics
Storage and Networking Systems as Variants of Computing Platforms
Cooling Options for Computing Platforms
Related Markets
Learn More
Related Research
Methodology
Market Measurements
Shipments
Vendor Revenue and Value
Average System Price
Installed Base
Server Retirement Rate
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