The Problems
Modern applications often face significant challenges that hinder their efficiency, scalability, and affordability. These challenges can limit their ability to meet the demands of real-world use cases. Below, we outline three key problems that need to be addressed:
Expensive Computation Cost
Applications today often rely on computationally intensive processes that require high-performance hardware or cloud infrastructure. This dependency drives up operational costs, particularly for decentralized applications or systems processing large amounts of data in real time. Inefficient algorithms and unoptimized system designs further exacerbate these expenses, making it difficult for smaller organizations or projects to compete.
Expensive Storage Cost
As data continues to grow at an unprecedented rate, the cost of storage becomes a significant burden. Many applications need to store large datasets for prolonged periods, often in distributed systems or the cloud. While storage technologies have evolved, the associated costs for maintaining accessibility, redundancy, and security can quickly escalate, especially for systems that prioritize decentralization or real-time data replication.
EVM, SVM, MoveVM
The rise of blockchain and decentralized applications has introduced various execution environments like the Ethereum Virtual Machine (EVM), Solana Virtual Machine (SVM), and Move Virtual Machine (MoveVM). While these environments enable decentralized computation and programmability, they also present challenges. For example, the EVM often suffers from high gas fees, limited scalability, and inefficiencies in execution. SVM and MoveVM, while innovative, still face hurdles in achieving widespread adoption and addressing performance bottlenecks, compatibility issues, and developer accessibility. These challenges highlight the need for more efficient and developer-friendly solutions.