Core Insights - Supermicro announces new AI solutions powered by NVIDIA's Blackwell Ultra platform, enhancing performance for compute-intensive AI workloads [1][2] - The partnership with NVIDIA aims to deliver advanced air and liquid-cooled systems optimized for data centers [2][3] Product Features - The NVIDIA Blackwell Ultra platform offers 288GB HBM3e memory per GPU, significantly improving AI FLOPS for training and inference [2][6] - Supermicro's new NVIDIA HGX B300 NVL16 system features a 1.8TB/s 16-GPU NVLink domain and 2.3TB of HBM3e memory per system [5][9] - The NVIDIA GB300 NVL72 integrates 72 GPUs and 36 CPUs, providing over 20TB of HBM3e memory and exascale computing capacity [6][9] Cooling Solutions - Supermicro's liquid-cooling solution operates efficiently with warm water, reducing power consumption by up to 40% [2][8] - The company offers a complete liquid cooling portfolio, including direct-to-chip cold plates and a 250kW in-rack CDU [8] Market Position - Supermicro positions itself as a leader in Application-Optimized Total IT Solutions, focusing on AI, Cloud, and 5G infrastructure [11] - The company emphasizes its commitment to innovation and environmental sustainability through its Green Computing initiatives [11]

Core Insights - Wiwynn is showcasing its latest AI servers and liquid cooling innovations at GTC 2025, highlighting its collaboration with Wistron and NVIDIA [1][2] - The company emphasizes the importance of comprehensive integration at the rack level for optimizing computing power in the AI era [2] - Wiwynn aims to deliver high-performance AI computing solutions that enhance performance, scalability, and sustainability [2][3] Company Overview - Wiwynn is a cloud IT infrastructure provider focused on high-quality computing and storage products, as well as rack solutions for data centers [3] - The company is committed to digitalization and sustainability, investing in next-generation technologies to optimize total cost of ownership and energy efficiency [3] Product Innovations - Wiwynn's AI servers are powered by the NVIDIA GB300 NVL72 platform, featuring over 20TB of HBM3e memory and increased AI FLOPS, designed for AI reasoning and video inference applications [5] - The UMS100L is a rack-level liquid cooling management system that ensures safety and efficiency for data centers, compatible with various cooling solutions [5] - Wiwynn's collaboration with NVIDIA includes advanced networking solutions like the Spectrum-X™ Ethernet, designed for multi-tenant, hyperscale AI clouds [5]

Core Insights - NVIDIA has introduced the Blackwell Ultra AI factory platform, enhancing AI reasoning capabilities and enabling organizations to accelerate applications in AI reasoning, agentic AI, and physical AI [1][15] - The Blackwell Ultra platform is built on the Blackwell architecture and includes the GB300 NVL72 and HGX B300 NVL16 systems, significantly increasing AI performance and revenue opportunities for AI factories [2][3] Product Features - The GB300 NVL72 system delivers 1.5 times more AI performance compared to the previous GB200 NVL72, and increases revenue opportunities by 50 times for AI factories compared to those built with NVIDIA Hopper [2] - The HGX B300 NVL16 offers 11 times faster inference on large language models, 7 times more compute, and 4 times larger memory compared to the Hopper generation [5] System Architecture - The GB300 NVL72 connects 72 Blackwell Ultra GPUs and 36 Arm Neoverse-based Grace CPUs, designed for test-time scaling and improved AI model performance [3] - Blackwell Ultra systems integrate with NVIDIA Spectrum-X Ethernet and Quantum-X800 InfiniBand platforms, providing 800 Gb/s data throughput for each GPU, enhancing AI factory and cloud data center capabilities [6] Networking and Security - NVIDIA BlueField-3 DPUs in Blackwell Ultra systems enable multi-tenant networking, GPU compute elasticity, and real-time cybersecurity threat detection [7] Market Adoption - Major technology partners including Cisco, Dell Technologies, and Hewlett Packard Enterprise are expected to deliver servers based on Blackwell Ultra products starting in the second half of 2025 [8] - Leading cloud service providers such as Amazon Web Services, Google Cloud, and Microsoft Azure will offer Blackwell Ultra-powered instances [9] Software Innovations - The NVIDIA Dynamo open-source inference framework aims to scale reasoning AI services, improving throughput and reducing response times [10][11] - Blackwell systems are optimized for running new NVIDIA Llama Nemotron Reason models and the NVIDIA AI-Q Blueprint, supported by the NVIDIA AI Enterprise software platform [12] Ecosystem and Development - The Blackwell platform is supported by NVIDIA's ecosystem of development tools, including CUDA-X libraries, with over 6 million developers and 4,000+ applications [13]