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Differences Between NVIDIA DGX and HGX

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In the modern era of high-performance computing and artificial intelligence, NVIDIA’s GPU technology plays a crucial role in deep learning and large-scale data processing. Two of NVIDIA’s most notable GPU platforms are NVIDIA DGX and NVIDIA HGX. Despite their similar names, they represent different approaches from NVIDIA in selling 8x GPU systems with NVLink technology. Additionally, NVIDIA’s business model has evolved between the P100 “Pascal” and V100 “Volta” generations, and we have witnessed the HGX model reaching new heights with the introduction of the A100 “Ampere” and H100 “Hopper” GPUs. One of the simplest ways to understand the distinction between NVIDIA HGX and NVIDIA DGX is by considering the following: NVIDIA DGX is the system brand of NVIDIA. NVIDIA HGX is a NVIDIA-authorized platform for third-party OEMs to build systems with 8x NVLink GPUs and NVSwitch technology. What is NVIDIA DGX? DGX is a series of high-performance computing systems launched by NVIDIA that integrate...
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NADDOD Delivers the First 400G OSFP-RHS SR8 Module to the Market

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 In the era of AI, network speed, energy efficiency, and cost have become the focal points for data centers and communication networks. Driven by high-demand applications such as big data processing, artificial intelligence, and machine learning, achieving optimal network performance while simultaneously optimizing energy consumption and controlling costs has become a critical driver of technological development. To meet these demands, new products are continuously emerging and evolving. In this context, NADDOD has taken the lead by launching world’s first 400G OSFP-RHS SR8 optical module which serves as a powerful enabler for modern data centers and large-scale networks. This solution not only significantly enhances network speed but also achieves energy savings, all while maintaining low costs. NADDOD 400G OSFP-RHS SR8 Module 400G OSFP-RHS SR8 is a parallel 400Gb/s small form-factor pluggable (OSFP) optical module. Different from most Finned Top modules of 400G OSFP SR8 on th...
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Finned-top and Flat-top Design in 400G/800G Optical Transceivers

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When choosing an optical transceiver, picking the wrong design could lead to compatibility issues with your current server, network card slots, or switches. In this article, we'll explore the differences between finned-top and flat-top designs in optical transceivers and guide you on how to make the right choice for your network. Finned-top vs. Flat-top In optical transceivers, "finned-top" and "flat-top" refer to two different structural designs within optoelectronic devices: Flat-top:  The flat-top design refers to optical transceivers where the top structure of the laser or optical emitter is flat. This design allows light to propagate and focus more easily, enhancing the efficiency of light coupling and transmission. Flat-top designs are often used in high-performance optical communication systems where maximizing signal transmission efficiency is crucial. Finned-top:  The finned-top design features a heat sink on top of the laser or optical device. Thes...
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Focusing AI Frontiers: NADDOD Unveils 1.6T InfiniBand XDR Silicon Photonics Transceiver

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With AI and data centers expanding, the demand for high-speed optical modules is experiencing unprecedented growth. At the same time, the pace of   optical module upgrades   to higher speeds is accelerating in order to cope with the continuously climbing data processing and transmission requirements resulting from model training. While the previous transition from 100G to 400G took more than three years, the generation replacement from 800G to 1.6T is expected to be shortened to less than two years. In 2024, 1.6T transceivers have already appeared, and it is estimated that in 2025, the production of 1.6T optical modules may grow rapidly.     To cope with the growing demand for AI and the rising demand for computing, NADDOD has launched the   OSFP-1.6T-2xDR4 , a high-speed silicon phtonics transceiver specifically tailored for 1.6T InfiniBand XDR. InfiniBand XDR（eXtended Data Rate）is the new speed generation in the   IBTA roadmap   after   NDR ,...
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NADDOD Leads in Compatibility and Performance on Thor2 & CX7

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In today's high-performance networking market, the Broadcom Thor2 and NVIDIA CX7 are two important network interface cards (NICs). Each has its own benefits in terms of performance, energy efficiency,and cost-effectiveness, etc. Thor2 is known for its low power consumption and multi-port configuration capabilities, while the CX7 is gaining attention for its RDMA technology and high performance acceleration. The different features of Thor2 and CX7 NICs  also leads to differences in application scenarios. Thor2 is more suited for large-scale data centers, with a particular focus on high throughput and flexible scalability. CX7 is primarily targeted at high-performance computing, AI, and deep-learning applications, optimized for low-latency and high-throughput requirements.   Although these 2 are different in many aspects, they both demonstrate strong technical advantages in their own fields. No doubt that they are both great choices for powering AI/ML workloads ...
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4 Common Spectrum-X Product Solutions in Ethernet Networking

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Since the unveiling of xAI Colossus , the world’s largest AI supercomputing cluster, it draw widely attention to Ethernet networking. Unlike most supercomputers that utilize technologies such as InfiniBand, Ethernet was chosen for this project. Colossue was built using the GPU giant's Spectrum-X Ethernet fabric.   This choice is highly strategic. Ethernet, the protocol that underpins the Internet, offers superior scalability. Many enterprises are already deeply familiar with Ethernet, relying on it as a trusted networking standard. However, for a long time, they lacked a solution to adequately support the characteristics of AI workloads using the Ethernet protocol.   To solve this problem, here came the NVIDIA Spectrum-X. As the world’s first high-performance Ethernet fabric, it represent a significant leap forward, ensuring that Ethernet remains a robust and future-proof technology in an era of exponential data growth.   What is Spectrum-X? Spectrum-X, the world's leadin...
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NVIDIA GB200 Interconnect Architecture Analysis-NVLink, InfiniBand, and Future Trends

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  NVIDIA GB200 Interconnect Architecture Analysis-NVLink, InfiniBand, and Future Trends 1.   NVLink Bandwidth Calculation There is a lot of confusion in NVIDIA's calculation of NVLink transmission bandwidth and the concept of SubLink/Port/Lane. Typically, the NVLink 5 bandwidth of a single GB200 is 1.8TB/s, which is calculated by bandwidth-oriented individuals in bytes per second (Byte/s). However, on NVLink Switches or IB/Ethernet switches and network cards, Mellanox's perspective calculates it in terms of network bandwidth, usually in bits per second (bit/s), based on the transmitted data bits.   Here, we'll explain in detail the calculation method of NVLink. Starting from NVLink 3.0, it is composed of four differential pairs to form a "sub-link" (often referred to by NVIDIA as Port/Link, with some ambiguity in definition). These 4 pairs of differential signal lines simultaneously contain both the receiving and transmitting directions of signal lines. Typically,...
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