Problem Statement

Problem Statement

Modern computing faces critical challenges that limit efficiency, scalability, and security:

• Centralized Bottlenecks: Traditional cloud systems operate within single data centers, restricting performance and introducing points of failure.

• High Operational Costs: Infrastructure expenses and energy consumption drive up the cost of large-scale computation.

• Privacy Risks: Centralized trust models expose sensitive workloads to potential breaches.

• Underutilized Global Compute: Vast amounts of idle CPU, GPU, and RAM capacity remain untapped.

While decentralized computing offers potential, most implementations:

• Lack robust, verifiable privacy guarantees

• Fail to securely integrate global idle compute power

• Struggle to build a sustainable incentive model for contributors

The rise of AI, data-heavy analytics, and large-scale simulations has amplified these shortcomings. Without secure, parallelized, and verifiable task execution at scale, organizations face delays, rising costs, and diminished competitiveness.

TasQ’s Solution: By integrating quantum-inspired parallel processing with zero-knowledge proof validation, TasQ creates a privacy-first global compute network. Tasks are distributed, executed, and verified across a diverse contributor base, ensuring efficiency, security, and fair rewards.