# Performance Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Performance", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

BNB Chain Releases Research Report, Exploring the Path to Post-Quantum Cryptography Migration for BSC

BNB Chain has released a new research report exploring a potential migration path for BNB Smart Chain (BSC) to post-quantum cryptography (PQC). The study assesses the feasibility and performance impact of replacing traditional blockchain cryptography with quantum-resistant alternatives, aiming to ensure long-term network security. Key areas evaluated include post-quantum transaction signatures (proposing ML-DSA-44), validator signature aggregation, transaction verification, public key storage, and cross-regional network performance under increased data loads. A major finding is that while technically feasible now, achieving PQC-readiness involves significant scalability trade-offs. Test data showed transaction size increased from ~110 bytes to ~2.5 KB, block size grew from ~110 KB to ~2 MB, and native transfer TPS decreased from 4,973 to 2,997. The primary performance bottleneck was identified as increased network transmission overhead due to larger data volumes, rather than the signature verification process itself. Notably, the pqSTARK aggregation technique proved efficient, compressing validator signatures at a ~43:1 ratio, which helps manage consensus layer overhead. The report clarifies this is a research-oriented exploration, not a response to an imminent threat, and notes that areas like P2P handshakes and KZG commitments require further study and broader ecosystem coordination.

链捕手05/18 13:24

BNB Chain Releases Research Report, Exploring the Path to Post-Quantum Cryptography Migration for BSC

链捕手05/18 13:24

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

In the AI era, while GPUs have long been the focus for computational power, the narrative is shifting as CPUs are increasingly becoming the new bottleneck. By 2026, system performance is more dependent on execution and scheduling capabilities, with CPUs playing a critical role in enabling AI operations. A supply crisis is emerging, with server CPU prices rising about 30% in Q4 2025 due to high demand and production constraints, as GPU orders compete for limited semiconductor capacity. Companies like Google and Intel have deepened collaborations, and Elon Musk is investing in custom CPU solutions for his ventures, highlighting the strategic importance of CPU infrastructure. The shift is driven by the rise of agentic AI, where CPUs handle tasks such as multi-step reasoning, API calls, and data I/O, accounting for 50–90.6% of total latency in intelligent workloads. Expanding context windows in AI models further strain GPU memory, necessitating CPU offloading for key-value cache management. Major players are adopting varied strategies: Intel is strengthening its Xeon processor line and partnerships; AMD is benefiting from increased demand, with server CPU revenue surpassing 40%; and NVIDIA is designing CPUs like Grace to optimize GPU-CPU synergy through high-speed interconnects. The industry is witnessing a rebalancing of compute infrastructure, with CPUs gaining prominence as essential enablers of scalable AI agent systems. By 2030, the CPU market is projected to double to $60 billion, driven largely by AI demands. The focus is now on overcoming system-level bottlenecks to maximize the efficiency and economic viability of AI deployments.

marsbit04/13 00:57

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

marsbit04/13 00:57

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