--- 格式版本: 2 标题: "Advancing AI Recap: How Open Standards Power AI Your Way" 原文链接: "https://www.asteralabs.com/ai-your-way-at-amd-advancing-ai-2026-why-open-standards-power-ai-everywhere/" 发布日期: "2026-07-27" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:scrape:provider_published_at" 发布时间证据: "provider publishedAt: 2026-07-27" 发布时间校准原因: "Firecrawl/provider publishedAt 优先级最高，即文章发布时间。其他候选为 article:published_time 稍晚，但非会议/活动日期。" 发布时间校准置信度: "1" 发布时间候选数量: 7 发布时间严格候选数量: 2 发布时间原页读取状态: "原页面已读取" 发布时间未找到原因: "" 发布时间校准时间: "2026-07-29T00:34:41+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 2 发布时间仲裁耗时毫秒: 72407 发现时间: "2026-07-29T00:34:23+08:00" 入库时间: "2026-07-28T16:35:56.203Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://www.asteralabs.com/blog" 匹配关键词: - "GPU" - "Scale-up" - "UALink" - "CXL" - "roadmap" - "deployment" - "performance" - "bandwidth" - "throughput" 相关厂家: - "Astera Labs" - "AMD" - "Microsoft" - "OpenAI" 相关专家: [] 内容类型: "网页" 抓取工具: "Free Fetch + Defuddle" 清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "是" AI打分: 92 AI分档: "高置信优质" AI质检状态: "通过" AI打分理由: "Astera Labs官方博客，结合AMD Advancing AI 2026阐述机柜级互联方案，涉及PCIe Fabric、CXL内存、信号调节器及开放标准，有部署承诺，信息完整。" AI质检模型: "deepseek-v4-pro" AI质检时间: "2026-07-29T00:48:31+08:00" AI主题相关性: 20 AI来源权威性: 15 AI新颖性: 20 AI技术细节: 15 AI商业部署信号: 12 AI完整性: 10 采集批次: "2026年7月29日0点30分13秒" 采集批次ID: "20260729-003013-850" 去重键: "https://www.asteralabs.com/ai-your-way-at-amd-advancing-ai-2026-why-open-standards-power-ai-everywhere" --- ![AMD CEO Lisa Su delivers keynote at Advancing AI 2026.](https://cdn-ilbiebf.nitrocdn.com/zfxDwMjWOWPcIOKjYKAOufVUoYnIWMTB/assets/images/optimized/rev-a1af7c7/www.asteralabs.com/wp-content/uploads/2026/07/AMD-AAI-Keynote.jpg) AMD CEO Lisa Su delivers keynote at Advancing AI 2026. As I took in everything AMD showcased under their “AI Everywhere” messaging at Advancing AI 2026, I came away more confident than ever in how our promise of “ [AI Your Way](https://www.asteralabs.com/ai-your-way-purpose-built-rack-scale-connectivity/) ” is essential to delivering it. AMD CEO Lisa Su’s keynote made clear that inference and agentic workloads are now the primary demand driver for AI compute, and that they’re showing up in deployments beyond just those of frontier modelers. Astera Labs’ message across the Scorpio, Leo, and Taurus products we showcased was the natural complement: The next AI performance breakthrough for these workloads won’t come from compute alone, but from how efficiently data moves through the system — any system. And underlying it all is the reality that a robust ecosystem built on open standards like Ethernet, PCIe®, CXL®, UALink, and the OCP Signal Conditioner Standard footprint is essential to delivering AI’s next chapter. ## Inference, Agentic AI, and How Scorpio and Leo Deliver Them Anywhere As many Advancing AI presentations – including Lisa Su’s keynote – emphasized, we’ve moved from training-bound clusters to inference-bound, agentic deployments. That shift changes what “good infrastructure” looks like. Agentic workloads chain together longer contexts, more memory-hungry sessions, and multi-step reasoning, which puts new pressure on CPUs, memory capacity, scale-out bandwidth, and system-level utilization — not just raw FLOPs. Efficiency, tokens per dollar, and deployment economics are becoming the real battleground, and that’s the exact problem the connectivity portfolio we brought to AAI is built to solve. Dense GPU clusters are only as fast as their weakest data path. Our [Scorpio PCIe Fabric Switches](https://www.asteralabs.com/products/scorpio-smart-fabric-switch/) address this directly by simplifying scale-up topologies, reducing hops, and enabling high-performance peer-to-peer data movement that helps eliminate internal bottlenecks and improve accelerator utilization. Memory capacity is the other half of the inference equation, especially for large-context and multi-agent serving. Our [Leo CXL Memory Controllers](https://www.asteralabs.com/leo-cxl-smart-memory-controllers/) extend memory capacity via CXL-attached DDR5, letting customers serve larger contexts and more concurrent agentic sessions without sacrificing GPU memory or throughput. Together, Scorpio and Leo handle the “inside the box” half of the equation: Full performance depends on full-stack data movement, not just faster chips. ## Taurus and the Case for Open Scale-Up Connectivity Open scale-up connectivity was the clearest expression of “AI Your Way” and “AI Everywhere” on the show floor, and it provided a perfect opportunity to debut our newest product. Our [Taurus 3.2T Smart Retimers and Smart Redrivers](https://www.asteralabs.com/products/taurus-smart-signal-conditioners/) deliver 200G/lane signal conditioning to optimize reach, power, and cost in dense platforms. They support Ethernet, UALink, and ESUN (Ethernet for Scale-Up Networking), allowing customers to choose the scale-up interconnect that’s best for their architecture and workloads. OurTaurus family of Smart Signal Conditioners deliver “AI Your Way” in an even more tangible way. These are the industry’s first devices compatible with the OCP Signal Conditioner Standard Footprint, and their Smart Swap capability lets architects move between footprint-compatible Smart Retimers and Smart Redrivers without ever touching the board layout. Advancing AI was the perfect place to showcase the practical value of building on open standards through our Taurus launch: Open protocols and open footprint standards keep supplier choices open as demand accelerates across the entire ecosystem. ## Full-Stack Interop: Proof, Not Just Promise AMD didn’t just talk about full-stack platforms in the abstract. Their Helios rack served as a main proof point, backed by Anthropic, OpenAI, and Microsoft commitments that moved the story from roadmap to deployment. Astera Labs brought the same rigor to our own portfolio: Scorpio, Leo, and Taurus have been validated end-to-end as a full-stack interop story, giving customers a real portfolio path to build AI their way, with more flexibility and less design risk. That validation matters because openness only works as a strategy if the open pieces actually work together, and we’re proud to help AMD Instinct platforms unleash the potential of generative and agentic AI. ## Building AI Your Way AMD’s Advancing AI 2026 keynote made the case that winning the agentic AI era requires full-stack platforms, proven at rack scale, with real customer deployments behind them. Astera Labs’ presence at the event made the complementary case: Those full-stack platforms only deliver on their promise when the connectivity layer delivers performance tailored to both the architecture and the workload. AI Everywhere and AI Your Way aren’t competing philosophies, they’re two sides of the same coin. AMD is scaling AI Everywhere across silicon, systems, and software; Astera Labs is making sure customers can get there their way, via open protocols and standards, without locking their architecture — or their roadmap — into a single supplier. To see how Scorpio, Leo, and Taurus fit into your own deployment plans, learn more about the end-to-end [scale-up](https://www.asteralabs.com/solutions/ai-servers-and-clustering/) and [scale-out](https://www.asteralabs.com/solutions/networking/) solutions they support.