Where Will the Next Wave of Edge AI Hardware Demand Emerge?
AI workloads are creating increasingly diverse requirements for compute performance, power efficiency, form factor, and acceleration. Understanding how those requirements vary across applications and deployment environments is critical to identifying where the market is headed and how to position for emerging opportunities.
VDC Strategy’s latest research provides a detailed view of the technologies, market segments, and competitive dynamics shaping embedded and edge AI hardware, including:
- Processor and accelerator trends: How AI workloads and performance requirements are influencing processor architectures and integrated and attached acceleration
- Market opportunities: How demand is developing across vertical markets, regions, customer segments, and hardware form factors
- Hardware requirements: How compute performance, power efficiency, workload requirements, and deployment environments influence hardware selection
- Competitive positioning: How leading suppliers are positioned across processors, computing modules, motherboards, single-board computers, and embedded/OEM systems and servers
Preview the Exhibits for an advanced look at VDC’s embedded and edge AI hardware research.