Author's Viewpoint: Constantine Zaitcev, CEO of dRPC.
The future competitive focus of blockchain is no longer on who can achieve higher transactions per second (TPS), but on who can make their infrastructure "invisible" to users—truly achieving a seamless and intuitive experience that allows users to focus less on the underlying technology.
Predictive intelligence is the key to achieving this goal. It drives the industry from passive response to proactive anticipation, enabling the infrastructure not only to follow industry changes but also to lead transformation.
Infrastructure determines the adoption of blockchain, a reality that is often overlooked but continues to hinder the development of decentralized networks. While most attention remains on throughput and transaction costs, the core obstacle leading to user attrition is latency—this silent yet persistent "lag" that erodes trust, consumes resources, and damages experience.
The solution is not merely to expand capacity but to introduce predictive intelligence—by anticipating needs and allocating resources wisely, transforming data insights into faster, more efficient, and more resilient systems.
Latency is the invisible killer in the Web3 world. It manifests as lagging interfaces in decentralized applications (DApps), transactions stalling at critical moments, and teams being forced to temporarily expand infrastructure during network peaks.
Latency is not just a speed issue; it stems from the rigid structure of the system itself: static RPC (Remote Procedure Call) nodes ignore user location and behavior, mechanically processing all traffic. These nodes remain online even when idle but lack the ability to dynamically respond to changing demands.
This rigid design is prone to triggering cascading failures under high-stress conditions, such as during NFT launches, DeFi migrations, or sudden traffic surges. Teams are often forced to frequently add nodes to cope with crises, driving up costs with each event. This is not only inefficient but severely undermines the trust foundation of the ecosystem.
Users encountering lag or service interruptions during critical operations often leave disappointed and hard to win back. Meanwhile, developers are forced to expend significant energy on emergency responses, making it difficult to focus on innovation and building.
For a long time, Web3 infrastructure has generally adopted a passive response model: expanding capacity only when problems arise and patching vulnerabilities after crashes. In the face of latency, traditional solutions involve continuously adding nodes and widening the "highway" in hopes of alleviating congestion.
However, this strategy has fundamental flaws. From a financial perspective, it is unsustainable: redundant infrastructure running around the clock greatly consumes budgets and fosters inefficiency. Structurally, applying a one-size-fits-all approach to different blockchains and application scenarios ignores the vastly different performance needs between high-frequency trading platforms and geographically distributed GameFi networks.
More critically, this approach is too slow to respond. By the time a crisis is exposed and action is taken, trust is often already damaged—and once trust is lost, it is extremely difficult to regain.
A new paradigm is emerging, driven by intelligence rather than mere hardware accumulation. Predictive infrastructure completely disrupts traditional thinking: no longer passively responding to traffic changes, but actively predicting; no longer relying on manual scaling, but achieving self-learning and automatic expansion.
By combining historical traffic data with real-time metrics, predictive systems can allocate resources in advance based on expected demand. This means that infrastructure can proactively respond before a crisis occurs, rather than remedying it afterward. Network activity during Asian trading hours no longer needs to be borne by Frankfurt nodes; a surge in Latin American GameFi users can also be seamlessly accommodated without manual intervention. Idle nodes no longer continuously consume costs, activating only when truly needed.
A dynamic, adaptive, and cost-oriented infrastructure layer is taking shape.
This is not just an abstract upgrade on the technical level; it also liberates innovation for developers. When infrastructure can autonomously respond to fluctuations, engineers can reduce troubleshooting efforts and focus more on innovation and development.
The resulting chain reaction continues to expand: higher availability, broader coverage, ultimately allowing DApps to not only be "usable" but to truly "thrive."
Predictive intelligence not only brings performance improvements but also drives a shift in mindset. It encourages us to move beyond the obsession with raw throughput and instead center on user intent. We no longer just ask, "How many transactions can we support?" but rather consider, "Which transactions are most important, and how can we prioritize them more intelligently?"
This shift transforms infrastructure into a system capable of learning and growing. It enables the blockchain industry to operate more efficiently and intelligently, accurately directing resources to where they are most needed, reducing user attrition, lowering operational costs, and providing a smoother onboarding experience for the next billion users.
To truly take Web3 beyond the early user circle and achieve globalization, intelligent capabilities must be deeply embedded in the infrastructure layer—not just reflected in contracts or governance but becoming a core capability at the foundational level.
Viewpoint Author: Constantine Zaitcev, CEO of dRPC.
Original text: “Predictive Intelligence: A Key Upgrade Not to Be Missed in Blockchain”
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