Technology
Nvidia GPUs and Fujitsu Arm CPUs will power Japan's next $750M zetta-scale supercomputer — FugakuNEXT aims to revolutionize AI-driven science and global research
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Tom's Hardware
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China announces CPU-only exascale supercomputer with 47,000 homemade processors, record 2 Exaflops of performance without GPUs — Lingshen super said to use Huawei Kunpeng servers and no foreign-made components
China's National Supercomputing Center in Shenzhen unveiled the Lingshen supercomputer project, aiming for over 2 ExaFLOPS performance using 47,000 homemade processors without GPUs or foreign components. The system, designed to surpass the current fastest supercomputer, El Capitan, would utilize Huawei Kunpeng servers and Arm-based Taishan cores. The project includes a pilot phase with 100 servers and a full production system with 1,580 blade servers. While China's claims of achieving 2+ ExaFLOPS are ambitious, questions remain about the feasibility of surpassing existing supercomputing benchmarks without GPUs or foreign-made CPUs.
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MIT Technology Review
The Download: OpenAI is building a fully automated researcher, and a psychedelic trial blind spot
OpenAI is embarking on a new challenge to create a fully automated AI researcher capable of solving complex problems independently. The company plans to unveil an autonomous AI research intern by September, leading up to a multi-agent system in 2028. Meanwhile, studies reveal the challenges in researching psychedelic drugs despite growing interest in their therapeutic potential. OpenAI is also developing a "super app" by merging ChatGPT, a web browser, and a coding tool, while making strategic moves in the enterprise market.
MIT Technology Review•
MIT Technology Review
OpenAI is throwing everything into building a fully automated researcher
OpenAI is shifting its focus to building an AI researcher, aiming to create a fully automated system capable of tackling complex problems independently. The company plans to develop an autonomous AI research intern by September, leading to a multi-agent research system by 2028. OpenAI's chief scientist, Jakub Pachocki, believes in the potential of AI models to work autonomously for extended periods, with the goal of applying AI tools to real-world problem-solving. However, concerns about the risks and ethical implications of autonomous AI systems remain, prompting discussions on oversight and control mechanisms.
MIT Technology Review•
Nvidia DGX Spark review: the GB10 Superchip powers a fast and fun AI toolbox that beats out AMD’s Ryzen AI Max+ 395
The Nvidia DGX Spark, powered by the GB10 Superchip, offers a high-performance Arm CPU and Blackwell GPU combo with full support for the CUDA ecosystem. The GB10 SoC features a MediaTek-produced Arm CPU complex and a Blackwell GPU on one package, both fabricated on a TSMC 3nm-class node. With a coherent 128GB pool of LPDDR5X memory, the Spark is suitable for various AI workloads. The mini PC design includes ports like USB-C, HDMI, 10Gb Ethernet, and QSFP for onboard ConnectX 7 NIC, allowing clustering for distributed computing experiments. Nvidia offers customization options through system partners like Dell, Acer, and HP, catering to corporate and institutional IT needs. The Spark integrates easily into existing workflows with preinstalled DGX OS and tools like Nvidia Sync for remote access and management.
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