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The 14th International Infrastructure Investment and Construction Forum Kicks Off in Macao

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The 14th International Infrastructure Investment and Construction Forum (“IIICF” or “the Forum”), co-hosted by the China International Contractors Association and the Macao Trade and Investment Promotion Institute, commenced in Macao on June 1. As one of the most influential annual events in the global infrastructure sector, this year’s forum, themed “Going Green, Digital and Smart, Financing Win-Win Cooperation”, brought together more than 3,000 industry elites from 700+ institutions in more than 60 countries and regions, including 40 ministerial-level guests.

Guo Tingting, Vice Minister of Commerce of China, Amarsaikhan Sainbuyan, Deputy Prime Minister of Mongolia, Ding Yanzhang, Chairman of Power Construction Corporation of China, Mike Elton Mposha, Minister of Zambia’s Water Development and Sanitation, Dai Hegen, Chairman of the Board of China National Chemical Engineering Group, and Lou Qiliang, President of CRRC Corporation, delivered keynote speeches on the Forum.

The Forum featured a specialized exhibition that attracted an unprecedented number of exhibitors, surpassing previous editions. Prominent participants included China Communications Construction, China Construction Engineering, China Railway Construction, China Electric Power Construction, China Energy Engineering, CRRC Corporation, China Poly Group, Metallurgical Corporation of China, China Nonferrous Metal Industry’s Foreign Engineering and Construction, Norinco International, Genertec International, Beijing Urban Construction, Beijing Construciton Engineering, Shanghai Tunnel Engineering, Shaanxi Construction Engineering, Hunan Construction Investment Group and other world-renowned contractors, as well as Huawei, Caterpillar, XCMG, Volvo, LiuGong and many other industry-leading manufacturers, suppliers and institutions.

During the exhibition, an impressive 90% of the booths featured exhibits specially designed to highlight three crucial aspects:

  • Regional connectivity, showcasing the remarkable achievements made during the ten-year development of the Belt and Road Initiative;
  • Low-carbon leadership and ecology-oriented solutions: This segment focused on promoting a wide range of green and low-carbon development technologies for infrastructure projects, with exhibits that emphasized innovations in clean energy, smart cities, and environmentally friendly construction practices, including green buildings;
  • Digital intelligence-driven and technology empowerment: Demonstrating the prowess and level of digital innovation, this part highlighted the capabilities of smart mobility solutions, cutting-edge engineering equipment, and advanced building materials. It effectively portrayed the strength and technological advancements of Chinese contractors to a global audience.

Artificial Intelligence

Databricks and NVIDIA Deepen Collaboration to Accelerate Data and AI Workloads with the Data Intelligence Platform

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SAN FRANCISCO, March 18, 2024 /PRNewswire/ — Databricks, the Data and AI company, today announced an expanded collaboration and commitment to deeper technical integrations with NVIDIA during the company’s flagship GTC 2024 conference. Together, Databricks and NVIDIA will optimize data and AI workloads on the Databricks Data Intelligence Platform. The collaboration builds on NVIDIA’s recent participation in Databricks’ Series I funding round.

“We’re thrilled about the evolution of our partnership with NVIDIA that will drive more value for customers through the advancement of Databricks workloads with NVIDIA accelerated computing and software,” said Ali Ghodsi, co-founder and CEO at Databricks. “From analytics use cases through AI, NVIDIA has already powered our foundational model initiatives, and with our mutual work on query acceleration, we’ll be able to demonstrate value for more enterprises.”
“Every company’s proprietary data is a crucial asset for creating intelligence in the era of AI,” said Jensen Huang, founder and CEO of NVIDIA. “By accelerating data processing, NVIDIA and Databricks can supercharge AI development and deployment for enterprises seeking greater insights and better outcomes with more efficiency.”
GPU acceleration for end-to-end generative AI solutionsOrganizations are rapidly adopting Databricks’ Data Intelligence Platform to build and customize generative AI solutions trained on their data and tailored to their business and domain. Databricks Mosaic AI and NVIDIA are collaborating on model training and inference to advance the state of building and deploying generative AI models on Databricks’ end-to-end platform. Databricks offers a comprehensive set of tools for building, testing and deploying generative AI solutions with uncompromising control and governance over both data and models.
For generative AI model training, Databricks Mosaic AI relies on NVIDIA H100 Tensor Core GPUs, which are optimized for developing LLMs. Mosaic AI is able to harness the power of NVIDIA accelerated computing and offer an efficient and scalable platform for customizing LLMs for customers.
For model deployment, Databricks leverages NVIDIA accelerated computing and software throughout the stack. A key component of Databricks’ Mosaic AI Model Serving is NVIDIA TensorRT-LLM software, which delivers state-of-the-art performance and ensures the solution is cost-effective, scalable and performant. Mosaic AI was a TensorRT-LLM launch partner and enjoys a close technical collaboration with the NVIDIA team.
Photon with NVIDIA accelerated computing speeds query performance Databricks plans to develop native support for NVIDIA accelerated computing into its next-generation vectorized query engine, Photon, to deliver improved speed and efficiency for customers’ data warehousing and analytics workloads. Photon powers Databricks SQL, Databricks’ serverless data warehouse with industry-leading price-performance and TCO. This advances and builds on the growth of Databricks customers using GPUs for query processing on their data.
Databricks for machine learning and deep learning Machine learning (ML) and deep learning on Databricks have been critical workloads. Databricks Machine Learning delivers pre-built deep learning infrastructure to include NVIDIA GPUs, and the Databricks Runtime for ML includes pre-configured GPU support including drivers and libraries. With these tools, users are able to both get started quickly with the right NVIDIA infrastructure, and keep the environment consistent across users. Databricks supports NVIDIA Tensor Core GPUs on all three major clouds to enable high-performance single-node and distributed training for ML workloads. 
The companies plan to further the momentum of the Data Intelligence Platform to enable more organizations to create their next generation of data and AI applications with quality, speed and agility.
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
Press contact:[email protected] 
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Supermicro Grows AI Optimized Product Portfolio with a New Generation of Systems and Rack Architectures Featuring New NVIDIA Blackwell Architecture Solutions

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Powerful and Energy Efficient Solutions for Large Scale CSPs and NSPs Incorporate a Full Stack of Next Gen NVIDIA GPUs and CPUs with the NVIDIA Quantum X800 Platform and NVIDIA AI Enterprise 5.0
SAN JOSE, Calif., March 18, 2024 /PRNewswire/ — NVIDIA GTC 2024, — Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is announcing new AI systems for large-scale generative AI featuring NVIDIA’s next-generation of data center products, including the latest NVIDIA GB200 Grace™ Blackwell Superchip, the NVIDIA B200 Tensor Core and B100 Tensor Core GPUs. Supermicro is enhancing its current NVIDIA HGX™ H100/H200 8-GPU systems to be drop-in ready for the NVIDIA HGX™ B100 8-GPU and enhanced to support the B200, resulting in a reduced time to delivery. Additionally, Supermicro will further strengthen its broad NVIDIA MGX™ systems lineup with new offerings featuring the NVIDIA GB200, including the NVIDIA GB200 NVL72, a complete rack level solution with 72 NVIDIA Blackwell GPUs. Supermicro is also adding new systems to its lineup, including the 4U NVIDIA HGX B200 8-GPU liquid-cooled system.

“Our focus on building block architecture and rack-scale Total IT for AI has enabled us to design next-generation systems for the enhanced requirements of NVIDIA Blackwell architecture-based GPUs, such as our new 4U liquid-cooled NVIDIA HGX B200 8-GPU based system, as well as our fully integrated direct-to-chip liquid cooled racks with NVIDIA GB200 NVL72,” said Charles Liang, president and CEO of Supermicro. “These new products are built upon Supermicro and NVIDIA’s proven HGX and MGX system architecture, optimizing for the new capabilities of NVIDIA Blackwell GPUs. Supermicro has the expertise to incorporate 1kW GPUs into a wide range of air-cooled and liquid-cooled systems, as well as the rack scale production capacity of 5,000 racks/month and anticipates being first-to-market in deploying full rack clusters featuring NVIDIA Blackwell GPUs.”
Supermicro’s direct-to-chip liquid cooling technology will allow for the increased thermal design power (TDP)  of the latest GPUs and deliver the full potential of the NVIDIA Blackwell GPUs. Supermicro’s HGX and MGX Systems with NVIDIA Blackwell are the building blocks for the future of AI infrastructure and will deliver groundbreaking performance for multi-trillion parameter AI training and real-time AI inference.
A wide range of GPU-optimized Supermicro systems will be ready for the NVIDIA Blackwell B200 and B100 Tensor Core GPU and validated for the latest NVIDIA AI Enterprise software, which adds support for NVIDIA NIM inference microservices. The Supermicro systems include:
NVIDIA HGX B100 8-GPU and HGX B200 8-GPU systems5U/4U PCIe GPU system with up to 10 GPUsSuperBlade® with up to 20 B100 GPUs for 8U enclosures and up to 10 B100 GPUs in 6U enclosures2U Hyper with up to 3 B100 GPUsSupermicro 2U x86 MGX systems with up to 4 B100 GPUsFor training massive foundational AI models, Supermicro is prepared to be the first-to-market to release NVIDIA HGX B200 8-GPU and HGX B100 8-GPU systems. These systems feature 8 NVIDIA Blackwell GPUs connected via a high-speed fifth-generation NVIDIA® NVLink® interconnect at 1.8TB/s, doubling the previous generation performance, with 1.5TB total high-bandwidth memory and will deliver 3X faster training results for LLMs, such as the GPT-MoE-1.8T model, compared to the NVIDIA Hopper architecture generation. These systems feature advanced networking to scale to clusters, supporting both NVIDIA Quantum-2 InfiniBand and NVIDIA Spectrum-X Ethernet options with a 1:1 GPU-to-NIC ratio.
“Supermicro continues to bring to market an amazing range of accelerated computing platform servers that are tuned for AI training and inference that can address any need in the market today, said Kaustubh Sanghani, vice president of GPU product management at NVIDIA. “We work closely with Supermicro to bring the most optimized solutions to customers.”
For the most demanding LLM inference workloads, Supermicro is releasing several new MGX systems built with the NVIDIA GB200 Grace Blackwell Superchip, which combines an NVIDIA Grace CPU with two NVIDIA Blackwell GPUs. Supermicro’s NVIDIA MGX with GB200 systems will deliver a vast leap in performance for AI inference with up to 30x speed-ups compared to the NVIDIA HGX H100. Supermicro and NVIDIA have developed a rack-scale solution with the NVIDIA GB200 NVL72, connecting 36 Grace CPUs and 72 Blackwell GPUs in a single rack. All 72 GPUs are interconnected with fifth-generation NVIDIA NVLink for GPU-to-GPU communication at 1.8TB/s. In addition, for inference workloads, Supermicro is announcing the ARS-221GL-NHIR, a 2U server based on the GH200 line of products, which will have two GH200 servers connected via a 900Gb/s high speed interconnect. Come to the Supermicro Booth at GTC to learn more.
Supermicro systems will also support the upcoming NVIDIA Quantum-X800 InfiniBand platform, consisting of the NVIDIA Quantum-X800 QM3400 switch and the SuperNIC800, and the NVIDIA Spectrum-X800 Ethernet platform, consisting of the NVIDIA Spectrum-X800 SN5600 switch and the SuperNIC800. Optimized for the NVIDIA Blackwell architecture, the NVIDIA Quantum-X800, and Spectrum-X800 will deliver the highest level of networking performance for AI infrastructures.
For more information on Supermicro NVIDIA solutions, visit https://www.supermicro.com/en/accelerators/nvidia 
Supermicro’s upcoming systems lineup featuring NVIDIA B200 and GB200 consists of:
The Supermicro’s NVIDIA HGX B200 8-GPU air-cooled and liquid-cooled systems are for the highest generative AI training performance. This system features 8 NVIDIA Blackwell GPUs connected via fifth generation NVLink with a pool of 1.5TB high-bandwidth memory (up to 60TB/s) to speed up AI training workloads.Supermicro’s best-selling AI Training System, the 4U/8U system with NVIDIA HGX H100/H200 8-GPU, will support NVIDIA’s upcoming HGX B100 8-GPU.A Supermicro Rack-Level Solution featuring GB200 Superchip systems as server nodes with 2 Grace CPUs and 4 NVIDIA Blackwell GPUs per node. Supermicro’s direct-to-chip liquid-cooling maximizes density with 72 GB200 192GB GPUs (1200W TDP per GPU), all in a single 44U ORV3 rack.Supermicro at GTC 2024
Supermicro will demonstrate a complete portfolio of GPU systems for AI at NVIDIA’s GTC 2024 event from March 18-21 at the San Jose Convention Center. Visit Supermicro at booth #1016 to see solutions built for a wide range of AI applications, including training generative AI models, AI inference, and edge AI. Supermicro will also showcase two rack-level solutions, including a concept rack with systems featuring the upcoming NVIDIA GB200 with 72 liquid-cooled GPUs interconnected with fifth-generation NVLink.
Supermicro solutions that will be on display at GTC 2024 include:
Supermicro liquid-cooled AI training rack featuring 8 4U 8-GPU systems with NVIDIA HGX H200 8-GPUsSupermicro concept ORV3 rack with liquid-cooled MGX system nodes, hosting a total of 72 NVIDIA GB200 Superchips connected via fifth-generation NVLinkSupermicro MGX systems, including the 1U Liquid-Cooled NVIDIA GH200 Grace Hopper Superchip systemSupermicro short-depth Hyper-E system for delivering GPU computing at the edgeSupermicro Petascale all-flash storage system for high-performance AI data pipelinesAbout Super Micro Computer, Inc.
Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first to market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions manufacturer with server, AI, storage, IoT, switch systems, software, and support services. Supermicro’s motherboard, power, and chassis design expertise further enable our development and production, enabling next generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).
Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.
All other brands, names, and trademarks are the property of their respective owners.
SMCI-F
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Denmark to build one of the world’s most powerful AI supercomputers, accelerating solutions to societal challenges

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COPENHAGEN, Denmark, March 18, 2024 /PRNewswire/ — Denmark is entering into a collaboration with NVIDIA to establish a national centre for AI innovation that will house one of the world’s most powerful AI supercomputers. The goal is to accelerate research and innovation in fields from healthcare and life sciences to the green transition, supporting the development of innovative solutions to the world’s biggest problems.

The collaboration is led on the Danish side by the Novo Nordisk Foundation and the Export and Investment Fund of Denmark (EIFO). Researchers from Denmark’s public and private sectors will be able to gain access to a state-of-the-art NVIDIA AI supercomputer optimised for large-scale projects using AI, as well as world-leading NVIDIA software platforms, training, and expertise.
“Groundbreaking scientific discoveries are based on data, and AI has now provided us with an unprecedented opportunity to accelerate research within, for example, human and planetary health,” says Mads Krogsgaard Thomsen, CEO of the Novo Nordisk Foundation. “Drug discovery, disease diagnosis, and treatment, as well as complicated life science challenges, are examples of areas where extreme AI computing power can enable the positive transformation of our society. The collaboration with NVIDIA and the resulting national AI innovation centre can help Denmark’s brilliant researchers and innovators rise to the next level.”
“In the current geopolitical climate, it is important that we strengthen our strategic positions,” says Morten Bødskov, Danish Minister of Industry, Business and Financial Affairs. “Our government is committed to enhancing Denmark’s global standing when it comes to cutting-edge technology alongside our unparalleled data resources. I am pleased to see both public and private sectors in Denmark investing in transformative technologies like supercomputers, which will undoubtedly boost our competitive edge on the world stage.”
Eviden, an Atos Group company and European leader in advanced computing, will deliver, install, and configure the supercomputer, named Gefion, later in 2024, and provide support with the start-up phase. The centre – called the Danish Centre for AI Innovation – is expected to be ready for pilot projects before the end of the year. The Novo Nordisk Foundation has committed approximately DKK 600 million towards the initial costs of the centre. EIFO has contributed DKK 100 million.
Opening doors to progress
Denmark’s new supercomputer – a large-scale NVIDIA DGX SuperPOD – is powered by NVIDIA H100 Tensor Core GPUs and interconnected using NVIDIA Quantum-2 InfiniBand networking. Denmark currently has no GPU-accelerated supercomputers. Relevant stakeholders across the country – including universities and ministries – have been consulted during the planning phases and agree that this is the main roadblock to progress in Denmark’s otherwise thriving AI-based research ecosystem.
The supercomputer and collaboration with NVIDIA will help enable Denmark to pursue large-scale projects in countless fields where AI is a valuable tool, as well as within AI research itself. In selected flagship project areas, researchers will be able to engage with expert teams at NVIDIA to co-develop solutions to complex problems. These include research in pharmaceuticals and biotechnology using NVIDIA BioNeMo, including protein design; the acceleration of the green transition; and the development of fault-tolerant (i.e. error-free) quantum computing using NVIDIA CUDA Quantum, an open-source hybrid quantum computing platform.
“AI and accelerated computing will drive significant advances in scientific innovation and discovery,” says Tim Costa, director of HPC and quantum computing at NVIDIA. “The Gefion supercomputer, powered by NVIDIA DGX SuperPOD, will be an essential tool for researchers in Denmark to drive discoveries in critical areas such as quantum computing, life sciences, and the green transition.”
‘Pioneering initiative’
The Foundation has established a public limited company – the Danish Centre for AI Innovation A/S – that will own and operate the supercomputer, with all revenue reinvested in the initiative. EIFO is a minority owner, holding 15% of the shares.
“This centre will have an immense impact on AI-based research and business development in the years to come,” says Peder Lundquist, CEO of EIFO. “It is an investment that will also impact the Danish economy and society in a broader sense, and EIFO is very pleased to be a part of this pioneering initiative. EIFO is already a significant investor in deep tech, and the collaboration with the Novo Nordisk Foundation aligns perfectly with our strategic focus on AI, quantum computing, the green transition, life science, and the commercialisation of research.”
Global data centre provider Digital Realty will host the supercomputer in one of its AI-ready facilities in Denmark. The data centre is designed and built to be sustainable and runs on 100% renewable energy.
The supercomputer will have the highest level of security and support Danish data sovereignty. Once fully operational, it will therefore be able to support projects involving sensitive data. No data will be stored permanently in the centre, and the centre’s users will be in full control of their data at all times.
Differential payment models are being developed that will balance commercial and academic use with the aim of meeting the centre’s current and future costs.
EDITOR’S NOTES
Further information
The new supercomputer is a large-scale NVIDIA DGX SuperPOD comprised of 191 NVIDIA DGX H100 systems (individual computer systems) with a total of 1,528 NVIDIA H100 Tensor Core GPUs and 382 Intel Xeon Platinum CPUs connected via the NVIDIA Quantum-2 InfiniBand networking platform with
in-network computing. The system will also use state-of-the-art NVIDIA software platforms such as NVIDIA CUDA Quantum, which features powerful simulation tools and capabilities to program hybrid CPU, GPU, and quantum processing unit (QPU) systems.
The H100 GPU’s Hopper architecture – named after pioneering American computer scientist Grace Hopper – is designed to solve the world’s most challenging AI problems and is four times faster at training tasks on large language models like GPT-3 compared to its predecessor.
GPUs, originally used for gaming and graphics-oriented work, have seen explosive growth over the past decade, fuelled by the emergence of deep learning and generative AI models that run much faster and more efficiently on these units than general-purpose CPUs.
Eviden, the European leader in high-performance computing (HPC), will bring their vast experience and expertise in HPC integration and installation to this project.
Digital Realty is committed to designing and building sustainable data centres, minimizing community impact. They have achieved 100% renewable energy for their entire European and North American colocation portfolio. Digital Realty has a longstanding track record of operational excellence – exceeding 99.999% (the data industry measurement standard often referred to as five nines) of uptime across its global data centre platform for 16 consecutive years – and has committed a significant investment to continue to build and secure their global footprint of data centres, so customers may feel assured of the safety and compliance of their data.
About the Novo Nordisk Foundation
Established in Denmark in 1924, the Novo Nordisk Foundation is an enterprise foundation with philanthropic objectives. The vision of the Foundation is to improve people’s health and the sustainability of society and the planet. The Foundation’s mission is to progress research and innovation in the prevention and treatment of cardiometabolic and infectious diseases as well as to advance knowledge and solutions to support a green transformation of society.
www.novonordiskfonden.dk/en 
About the Export and Investment Fund of Denmark
The Export and Investment Fund of Denmark (EIFO) provides a single point of access to risk-tolerant government financing. EIFO is the national promotional bank, the investment fund and the export credit agency of Denmark combined in one financial institution. We exploit synergies across the organization and business sectors, offering loans, guarantees, equity investments or fund investments to companies, developers, and banks etc. EIFO has more than 5.000 customers and a total business volume of more than DKK 150 billion. EIFO is the result of a merger of EKF Denmark’s Export Credit Agency, Vaekstfonden (the Growth Fund) and Denmark’s Green Investment Fund in 2023. With our willingness to take risks in financing, EIFO paves the way for those who dare to think bigger. Because the world is Denmark’s business. Read more at www.eifo.dk.
 

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