Shiba Inu(SHIB)重要更新

币界网Pubblicato 2024-08-09Pubblicato ultima volta 2024-08-09

币界网报道:

TL;博士

    第二层解决方案Shibarium将于8月9日推出硬分叉,推出燃烧机制。Shibarium继续推进旨在提高交易速度、可扩展性和降低成本的升级,促进Shiba Inu生态系统的发展。

即将到来的发展

Shibarium是Shiba Inu的二层扩展解决方案,由于其在处理交易或整体进步方面的快速进展,继续成为头条新闻。

最近,该团队透露了新Bor版本的硬分叉。升级计划于今天(8月9日)进行,之后将引入燃烧机制以增强生态系统。

Bor层是Shibarium的关键组件,在验证和保护网络上的交易方面发挥着至关重要的作用。它还确保了L2区块链解决方案的可扩展性和安全性,使Shiba Inu生态系统能够支持各种去中心化应用程序(dApps)。

焚烧程序是流行的模因币已经采用的一种过程。它旨在减少SHIB代币的流通供应,理论上这可能会引发价格上涨(如果需求保持不变或增加)。

该机制涉及将硬币发送到无人访问的指定钱包。在过去的24小时里,销毁率激增了近140000%,导致约1.05亿个代币被销毁。

Shibarium之前的更新

该网络于一年前正式成立,旨在通过提高速度、增强可扩展性和降低交易成本,将Shiba Inu提升到模因币利基市场的竞争对手之上。

2024年初,它又进行了两次升级,例如推出了新的用户界面(UI)更新,该更新允许与流行的自托管钱包兼容,包括MetaMask、Coinbase钱包和Trust钱包。

不久之后,开发人员通过硬分叉引入了另一个升级,以改善整体用户体验,增强创新者社区的能力,并实现更快的块处理时间。

该团队当时表示:“我们还在高流量时段平滑交易费用的变化,使成本对每个人来说都更加可预测和公平。这确保了我们的平台仍然负担得起且易于使用。”。

有关生态系统的更多更新,请务必查看我们的Shibarium新闻。

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CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

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505 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

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