The Emerging Inference-as-a-Service Market
Description
This IDC Perspective briefs on the emerging inference-as-a-service (InfaaS) market that enables organizations to deploy intelligent applications without deep expertise or costly infrastructure. Driven by developer demand and the need to bridge skills gaps, InfaaS providers offer scalable, secure, and optimized access to open and proprietary models, facilitating faster innovation and reducing operational overhead. As AI workloads grow, vendor differentiation, pricing transparency, and developer enablement are critical for successful enterprise AI deployment."As AI transforms every IT decision, organizations are taking advantage of inference as a service to bridge the AI skills gap and to accelerate their development and deployment of intelligent applications," says Adam Reeves, research director for PaaS for Developers of Modern and Edge Applications.
Table of Contents
12 Pages
Executive Snapshot
Situation Overview
Key Differences Between AI Inference and Traditional Computing
Hardware/Infrastructure
Networking and Latency Requirements
Cost and Resource Management
Benefits of Inference as a Service
Facilitating AI Development
Providing Access to Open Models
Types of InfaaS Providers
Specialized Inference-as-a-Service Offerings
Advice for the Technology Buyer
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