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Nvidia is expanding its AI dominance by opening up its NVLink ecosystem to rivals. CEO Jensen Huang unveiled NVLink Fusion at Computex 2025, allowing non-Nvidia CPUs and accelerators to integrate with Nvidia's AI infrastructure. This move allows customers to use CPUs, GPUs, and accelerators from other vendors alongside Nvidia GPUs, all tied together using Nvidia’s high-bandwidth NVLink interconnect. Key partners include MediaTek, Marvell, Fujitsu, and Qualcomm, and the program allows customers to use CPUs, GPUs, and accelerators from other vendors alongside NVIDIA GPUs, all tied together using NVIDIA’s high-bandwidth NVLink interconnect.
This strategic positioning ensures Nvidia remains central to AI data centers, even when customers use rival chips. Huang stated that NVLink Fusion enables the building of "semi-custom AI infrastructure, not just semi-custom chips," emphasizing that every such system runs through Nvidia's ecosystem, including its GPUs, interconnects, and software stack. The resulting intellectual property package is called NVLink Fusion, meaning that those making custom CPUs or accelerators can license the NVLink port designs and the memory atomic protocol that rides on top of it to allow a kind of NUMA memory sharing akin to that which has been available for CPUs for several decades now. Nvidia is also partnering with Foxconn to build an AI supercomputer in Taiwan, which will help fuel Taiwan's innovation. The supercomputer will utilize 10,000 Nvidia Blackwell GPUs. Taiwan’s National Science and Technology Council will use this supercomputer to deliver AI cloud computing muscle to Taiwanese organizations, making it easier for the country to adopt AI tech across private and public institutions. TSMC, Nvidia’s main supplier, intends to use it for R&D with the AI supercomputer said to have “orders-of-magnitude faster performance, compared with previous-generation systems”. Recommended read:
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@blogs.nvidia.com
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NVIDIA is significantly expanding its presence in the AI and quantum computing landscape through strategic partnerships and infrastructure developments. The company is opening its NVLink ecosystem to allow non-NVIDIA chips to integrate seamlessly, a move designed to solidify NVIDIA's central role in AI infrastructure, even with the use of competitor's silicon. This initiative, known as NVLink Fusion, allows for semi-custom AI infrastructure, enabling companies to combine processors from vendors like MediaTek, Marvell, Fujitsu, and Qualcomm with NVIDIA GPUs, all interconnected by NVIDIA's high-bandwidth NVLink technology. NVIDIA CEO Jensen Huang envisions an AI infrastructure industry worth trillions of dollars, emphasizing that these AI data centers, or "AI factories," produce valuable "tokens" by applying energy.
These expansions extend beyond traditional AI, with NVIDIA actively collaborating with partners to advance quantum computing. Silicon developers like Compal, Quanta, and Taiwan's National Center for High-Performance Computing are leveraging NVIDIA AI supercomputing hardware to accelerate quantum computing research. Furthermore, NVIDIA is partnering with Foxconn to build a state-of-the-art AI supercomputer in Taiwan. This supercomputer, equipped with 10,000 NVIDIA Blackwell GPUs, aims to provide AI cloud computing resources to Taiwanese organizations and support research and development for TSMC, the world's largest chipmaker. NVIDIA's strategic collaborations also include international partnerships, such as the launch of the ABCI-Q supercomputer in collaboration with Japan’s National Institute of Advanced Industrial Science and Technology (AIST). This system, powered by NVIDIA H100 GPUs and Quantum-2 InfiniBand, supports large-scale hybrid quantum-classical computing. By integrating NVIDIA's CUDA-Q platform, ABCI-Q enables researchers to simulate and accelerate quantum applications, further cementing NVIDIA's role in advancing both AI and quantum computing technologies. These efforts signal a commitment to driving innovation and facilitating the development of groundbreaking solutions across various industries. Recommended read:
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@blogs.nvidia.com
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NVIDIA is significantly expanding its presence in the AI ecosystem through strategic partnerships and the introduction of innovative technologies. At Computex 2025, CEO Jensen Huang unveiled NVLink Fusion, a groundbreaking program that opens NVIDIA's high-speed NVLink interconnect technology to non-NVIDIA CPUs and accelerators. This move is poised to solidify NVIDIA's role as a central component in AI infrastructure, even in systems utilizing silicon from other vendors, including MediaTek, Marvell, Fujitsu, and Qualcomm. This initiative represents a major shift from NVIDIA's previously exclusive use of NVLink and is intended to enable the creation of semi-custom AI infrastructures tailored to specific needs.
This strategy ensures that while customers may incorporate rival chips, the underlying AI ecosystem remains firmly rooted in NVIDIA's technologies, including its GPUs, interconnects, and software stack. NVIDIA is also teaming up with Foxconn to construct an AI supercomputer in Taiwan, further demonstrating its commitment to advancing AI capabilities in the region. The collaboration will see Foxconn subsidiary, Big Innovation Company, delivering the infrastructure for 10,000 NVIDIA Blackwell GPUs. This substantial investment aims to empower Taiwanese organizations by providing the necessary AI cloud computing resources to facilitate the adoption of AI technologies across both private and public sectors. In addition to hardware advancements, NVIDIA is also investing in quantum computing research. Taiwan's National Center for High-Performance Computing (NCHC) is deploying a new NVIDIA-powered AI supercomputer designed to support climate science, quantum research, and the development of large language models. Built by ASUS, this supercomputer will feature NVIDIA HGX H200 systems with over 1,700 GPUs, along with other advanced NVIDIA technologies. This initiative aligns with NVIDIA's broader strategy to drive breakthroughs in sovereign AI, quantum computing, and advanced scientific computation, positioning Taiwan as a key hub for AI development and technological autonomy. Recommended read:
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@quantumcomputingreport.com
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AI News | VentureBeat
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NVIDIA is significantly advancing quantum and AI research through strategic collaborations and cutting-edge technology. The company is partnering with Japan’s National Institute of Advanced Industrial Science and Technology (AIST) to launch ABCI-Q, a new supercomputing system focused on hybrid quantum-classical computing. This research-focused system is designed to support large-scale operations, utilizing the power of 2,020 NVIDIA H100 GPUs interconnected with NVIDIA’s Quantum-2 InfiniBand platform. The ABCI-Q system will be hosted at the newly established Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT).
The ABCI-Q infrastructure integrates CUDA-Q, an open-source platform that orchestrates large-scale quantum-classical computing, enabling researchers to simulate and accelerate quantum applications. This hybrid setup combines GPU-based simulation with physical quantum processors from vendors such as Fujitsu (superconducting qubits), QuEra (neutral atom qubits), and OptQC (photonic qubits). This modular architecture will allow for testing quantum error correction, developing algorithms, and refining co-design strategies, which are all critical for future quantum systems. The system serves as a testbed for evaluating quantum-GPU workflows and advancing practical use cases across multiple hardware modalities. NVIDIA is also expanding its presence in Taiwan, powering a new supercomputer at the National Center for High-Performance Computing (NCHC). This supercomputer is projected to deliver eight times the AI performance compared to the center's previous Taiwania 2 system. The new supercomputer will feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems, and an NVIDIA HGX B300 system built on the NVIDIA Blackwell Ultra platform, all interconnected by NVIDIA Quantum InfiniBand networking. This enhanced infrastructure is expected to significantly boost research in AI development, climate science, and quantum computing, fostering technological autonomy and global AI leadership for Taiwan. Recommended read:
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Sean Hollister@The Verge
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Nvidia CEO Jensen Huang unveiled the company's next generation of AI chips at the GTC 2025 conference, including the Blackwell Ultra GB300 and Vera Rubin, its next AI superchips. During the conference, Huang emphasized the advancements in AI and his predictions for the industry's future, noting that AI is at an "inflection point" and highlighting the evolution of AI from perception to generative AI, and now to agentic AI which can understand context and generate answers. Nvidia's new roadmap includes the Blackwell Ultra, slated for release in the second half of 2025, and the Vera Rubin AI chip, expected in late 2026.
The Blackwell Ultra isn't built on a completely new architecture but it offers enhanced capabilities, including 20 petaflops of AI performance and 288GB of HBM3e memory. In addition to the chip announcements, Nvidia revealed that it is building the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, aimed at integrating quantum computing with AI supercomputers, despite Huang's recent claims that practical quantum systems are still decades away. The NVAQC will collaborate with institutions like the Harvard Quantum Initiative and MIT, with aims to solve challenging problems in quantum computing and enable accelerated quantum supercomputing. Recommended read:
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