Dynamically adjusts resource allocation to meet the real-time demands of various applications, ensuring efficient operation. This helps optimize system performance and minimizes wastage of computational resources.

Provides a shared memory space that can be accessed by different system components like CPUs, GPUs, and accelerators, optimizing resource utilization. This eliminates memory bottlenecks and simplifies memory management in complex systems.

Allows seamless integration of various devices such as CPUs, GPUs, FPGAs, and memory modules, offering high flexibility in system design. This enables diverse applications across industries like gaming, AI, and scientific computing.

Delivers near-instantaneous data processing and response times, which is crucial for real-time applications like autonomous driving, financial trading, and gaming. Low latency ensures that tasks are completed promptly, improving the user experience and system responsiveness.

Ensures that new technologies can work alongside older hardware, protecting previous investments and facilitating smooth transitions during system upgrades. This compatibility allows gradual adoption of new features without major disruptions.