🤔 How to choose a #400G #OSFP #Ethernet #transceiver? SR4, 2xSR4, VR4, SR8, DR4 — how should these different variants be matched in #switch-to-#NIC interconnects? This article helps you gain a comprehensive understanding. Click to read the full article👇 https://t.co/9InJpm648d

In this article, we look at the evolution of #RoCE networking, the limitations of traditional #Ethernet at scale, and how NVIDIA #SpectrumX improves lossless transport, congestion control, and performance predictability for #AIdatacenters. 📷 Read more:

🚀 As #ScaleAcross becomes inevitable for #AI scaling, this article explores how #NVIDIAMetroX2 enables cross–data center training and inference via low-latency remote #interconnects, unlocking true #DistributedComputing. https://t.co/ytt57zUzN6

Physical #AI is bringing AI into the real world. From perceptual AI to generative AI, and now to physical AI, AI is no longer confined to the digital space but can perceive, reason, and act in real-world environments. Detailed analysis 👉 https://t.co/2yLdw9ReMf #physicalai

💡 What happens when AI lands directly on your desk? DGX Spark brings large models into individual development environments, while DGX Station moves data center. AI is truly moving local and into the real world 👉 https://t.co/9EVfJgYSk4

New additions to NADDOD #800G #OSFP modules! OSFP-800G-2DR4XH（MMS4X00-NM-FLT） Flat Top design, ideal for #NVIDIA DGX-H100. 🔗： https://t.co/Uwkg1XWDip OSFP-800G-2xDR4S（MMS4X00-NS-T） Up to 100m reach, ideal for SN5610 switches in RoCE networking. 🔗： https://t.co/v1tH3NtYtm

💡 #LLM inference slow? The KV-cache might be too far! #NVIDIA #BlueField-4 provides a dedicated context storage layer, allowing the #GPU to quickly access critical data, making inference more efficient and fluid. 👉 Read the full analysis https://t.co/5GPhAzCdtm #AI #Networking

This article breaks down how CUDA Cores, Tensor Cores, and RT Cores are positioned and optimized for different workloads—explaining their distinct roles and where each core delivers the most value in modern GPU computing. 📷 https://t.co/i0Le3Ihcr6

🚀 This article systematically interprets #inference chips, from performance optimization and energy efficiency advantages to product introduction, helping you understand why you need inference #chips. 📖 Click to read and learn more: https://t.co/saEJPptAAm #AI

💡What determines the performance of #AI distributed training? Not framework, but the underlying communication primitives! Check this article to know more:

#NVIDIA #Spectrum-6 #Ethernet switches: #SN6810 single-chip 102.4T, #SN6800 four-chip expansion to 409.6T. Combined with #CPO optics and high-cardinality ports, it meets the needs of ultra-large-scale #AI clusters. Click here for the full analysis 👉 https://t.co/z1BTJRFPcz

🚀 The #NVIDIA #Rubin #platform is built for #nextgeneration #AIcomputing. Through a system-level co-design of #GPUs, #CPUs, interconnects, and networks, Rubin achieves a better balance between performance, cost, and security. 📷 Read Blog:

How do #NVIDIA #TensorCores actually work 🤔 and why have they become foundational to modern #AI #computing? This article breaks down the core concepts, underlying mechanisms, and architectural evolution behind Tensor Cores.📷 🔗： https://t.co/5BJreuwW2k

💡 In-depth analysis of #AWS #Trainium3 3nm self-developed #AI chip, FP8 computing power up to 2.52 PFLOPs, 144GB HBM3e memory! 📈 How do they differ from #NVIDIA #GB300 and #Google #TPU? 👉 Learn more now:

#NADDOD 1.6T #OSFP224 2×DR4 / DR8 powered by #Broadcom 3nm DSP (#Sian3 | BCM83628) , with a verified BER as low as 5E-14, and validated in large-scale cluster environments for stable mass production. ⚡ 2500 pcs in production, delivery from Jan！ https://t.co/mZkJ1ZczYN

🚀 In-depth analysis of #Broadcom #Sian3 & #Sian2M How does Broadcom's #DSP PHY meet the high-efficiency interconnect requirements of #AI data center #clusters? Click to learn more 👇 https://t.co/dTmoZm6fC1

❓ #OSFP vs QSFP-DD Why are the application scenarios different for #800G transceiver packages? Click to read now.👇 https://t.co/Vsxixgun4p #AI #QSFPDD #Ethernet #roce

🚀 In-depth analysis of #NVIDIA GPU CUDA cores! Is more CUDA cores always better in a #GPU? What are the differences between #CUDA cores and CPU cores? This article provides a comprehensive understanding of CUDA cores. 👇 https://t.co/UReSOSFowl #AI #Networking #AIComputing

2025: #AI is Moving from "Experimental Technology" to "Basic Productivity" 📷 Focusing on #industrytrends, #computing power evolution, and commercialization, with an eye on emerging directions such as #embodiedintelligence and #quantum omputing. https://t.co/LK3M719mzy

🎄 Merry Christmas & Happy Holidays! Thank you to everyone who’s been part of our journey this year, wishing you a warm, joyful, and relaxing holiday season. 🎅 #HappyHolidays #MerryChristmas