emerging
Hybrid Computing Solutions
Combining various computing technologies, including CPUs, GPUs, edge devices, and specialized processors, to optimize performance and efficiency.
Themes
Timeframe
near-term
Categories
Impact areas
Detailed Analysis
Hybrid computing leverages the strengths of different computing architectures to address complex computational challenges. By combining technologies like CPUs, GPUs, edge devices, and specialized processors like neuromorphic and quantum chips, organizations can achieve optimal performance and efficiency for specific workloads. "Hybrid computing combines various technologies — such as CPUs, GPUs, edge-devices, ASICs, and neuromorphic, quantum and photonic systems — to solve complex computational problems." This approach enables flexibility, scalability, and cost optimization. The growing demand for advanced computing capabilities, particularly in areas like AI and machine learning, is driving the adoption of hybrid computing solutions.
Context Signals
Increasing availability of specialized processors
Advancements in networking and interconnect technologies
Growing adoption of cloud-based hybrid computing platforms
Edge
Development of automated hybrid computing orchestration tools
Emergence of serverless hybrid computing architectures
Integration of hybrid computing with edge computing and IoT
