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Apr. 28, 2026
As the new "oil" of the digital economy, AI computing power is growing exponentially. Nevertheless, dual pressures — the three major bottlenecks of computing, storage and communication, plus the anti-Moore’s Law trend — have become core constraints for industrial development. In the race to boost computing efficiency, high-precision time synchronization serves as a fundamental support across the entire AI computing chain, acting as a core driver to break efficiency limits and secure system stability.
1. Booming AI Computing: Opportunities & Hidden Risks of a Trillion-Dollar Market
Globally, AI computing power is witnessing unprecedented explosive growth. The global AI computing scale is expected to exceed 50,000 EFLOPS by 2028, fostering a trillion-level market.Commercial research data shows the AI market will expand from $183.9 billion in 2026 to $2.673 trillion in 2035, with a CAGR of 39.73%.
Behind the prosperity, white papers reveal severe challenges: the three bottlenecks of communication, storage and computing are becoming increasingly prominent. With slowing hardware performance upgrades under anti-Moore’s Law, computing demand doubles every 3 to 4 months. The stark conflict between surging demand and lagging network transmission & system collaboration has turned into a key pain point restricting the intelligent computing industry, making breakthroughs an urgent priority.
2. Communication Bottleneck: Ease High-Speed Congestion via Precision Clock Synchronization
112G/224G SerDes and 800G optical modules have become standard for high-speed interconnection in AI clusters. While communication congestion is often attributed to insufficient bandwidth, signal integrity defects in high-speed links are the root cause.
Tiny clock deviations (jitter) are drastically magnified at high speeds, triggering soaring bit error rates, repeated link retransmissions and degraded operation. Valuable bandwidth is consumed by invalid data transmission, creating a paradox of "higher speed, heavier congestion". Furthermore, collective communication protocols such as AllReduce require strict node synchronization. Minor clock offsets trigger a bucket effect, dragging down overall cluster communication efficiency.
The key lies in suppressing clock jitter at the source and optimizing signal quality.Saisi ultra-low jitter differential crystal oscillators deliver a typical phase jitter of 44fs@156.25MHz, eliminating signal distortion at the source. It provides pure clock signals for NVLink, PCIe and 800G optical modules between GPUs to guarantee high-speed signal integrity.Saisi high-precision time synchronization servers deliver nanosecond-level unified time benchmarks for large-scale GPU clusters, maximizing communication efficiency and eliminating data transmission congestion.
3. Storage Bottleneck: Optimize Timing Control to Break Capacity Limitations
Driven by trillion-parameter models, the industry overemphasizes storage capacity while ignoring a critical factor: timing control of data flow defines storage efficiency.When data transmits rapidly between GPUs, HBM, computing nodes and distributed storage, memory controllers rely on precise clock signals for read-write scheduling. Distributed storage requires high-precision timestamps to maintain data versions and transaction order. Even subtle clock jitter causes signal distortion, memory access errors and data conflicts, worsening storage pressure.
Targeting storage timing pain points, Saisi builds a solid barrier for smooth data flow:Clock buffers and generators supply multi-output, low-skew synchronous clocks for CPU, GPU and HBM controllers, preventing read-write delays and errors.High-precision NTP/PTP time synchronization servers provide unified timing services for distributed storage clusters, ensuring cross-node data consistency. It enables unobstructed data interaction between storage and computing, fundamentally improving storage efficiency and freeing enterprises from capacity anxiety.
4. Computing Bottleneck: Reduce Redundant Overheads, Empower Collaborative Computing
The core dilemma of the computing bottleneck lies in saturated single-card performance and declining multi-GPU parallel efficiency. Simply adding GPUs can no longer bring linear performance gains. Cross-card communication costs and collaborative waiting have become major barriers limiting computing potential.
Efficient distributed parallel computing requires thousands of computing nodes to operate in perfect coordination, which is based on a unified time benchmark. Clock offsets lead to collective waiting or out-of-order execution in gradient synchronization and parameter updates, equivalent to invisible traffic lights causing frequent cluster stagnation.
For cross-region and multi-data-center computing scheduling, Saisi launches high-capacity, high-performance time synchronization servers and full-scenario solutions. Covering single/dual-node local deployment, remote disaster recovery and multi-data-center architecture, our products fully adapt to clusters of all scales.
5. Full-Chain Empowerment: Saisi Calibrates the "Heartbeat" of AI Computing
The three major bottlenecks of AI computing are not isolated technical issues, but inevitable results of growing reliance on precise physical time in high-speed, massive and collaborative computing. In the post-Moore era, system-level efficiency competition has extended to microsecond and nanosecond-level timing alignment.
Differentiated from single-link timing solutions, Saisi covers underlying components to system-level deployment. We target key pain points of the three major bottlenecks, embedding professional, customized timing products throughout AI training and inference workflows.
Moving forward, Saisi will continue to focus on time & frequency synchronization technology to calibrate the core heartbeat of AI computing. We deliver closed-loop solutions for communication congestion, cluster stability and cross-domain scheduling, upgrading AI computing from basic availability to high efficiency, accessibility and security. Saisi will continuously empower the high-quality development of the intelligent computing industry with professional timing technology.
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