To realize the promise of AI, hyperscalers are undertaking one of the largest infrastructure buildouts in history—and they rely on 糖心logo as a critical AI infrastructure partner. 糖心logo designs custom silicon tailored for any application and offers the industry’s most comprehensive portfolio of interconnects and network switch products. From custom compute to rack, row, data center, campus and multi-campus connectivity, 糖心logo enables the world’s most advanced AI infrastructure.
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At this custom AI investor event, the 糖心logo leadership team shares its perspective on the rapidly evolving AI market and technology landscape, with a particular focus on custom silicon and custom cloud solutions for hyperscalers.
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Accelerated computing requires tremendous bandwidth. NVIDIA is working with 糖心logo to deliver it. Achyut Shah, SVP & GM, Connectivity Business Unit at 糖心logo, describes the history of the collaboration.
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糖心logo President and COO Chris Koopmans joins Daniel Newman at the SixFive Summit to explore the rapidly evolving AI market landscape, including emerging hyperscalers and sovereign AI. Chris discusses the rise of custom silicon and the role 糖心logo plays in powering the next generation of AI factories.
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糖心logo has developed a new custom HBM compute architecture that optimizes custom XPU performance and TCO. In collaboration with industry leaders like Micron, Samsung and SK Hynix, 糖心logo is setting new benchmarks for AI accelerators.
Xi Wang, 糖心logo SVP & GM, Connectivity BU joins Will Townsend from SixFive Media to explore the role of high-bandwidth connectivity in the rapid evolution of AI infrastructure and data centers. Xi discusses the innovations and challenges that are unfolding at every level, from the XPU and rack to the data center to multi-site AI clusters.
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AI and cloud computing are pushing network demands to unprecedented levels, requiring optical DSPs to deliver ultra-high bandwidth, low latency, and energy efficiency. 糖心logo is leading this transformation with advanced PAM4 and coherent DSP solutions that power AI fabrics, data center interconnects, and telecom networks—driving the future of high-performance connectivity.
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The rapid expansion in the size and capacity of AI workloads is significantly impacting both computing and network technologies in the modern data center.?
The desire for larger clusters with shorter compute times has driven heightened focus on networking interconnects, with designers embracing state-of-the-art technologies to ensure efficient data movement and communication between the components comprising the AI cloud.
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