DataBloom

The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a…

The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA), and the evolutionary information retrieved from these alignments can yield insights into protein structure, function, and evolutionary history. Now, with MMseqs2-GPU, an updated GPU-accelerated…

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Since the advent of the computer age, industries have been so awash in stored data that most of it never gets put to use. This data is estimated to be in the neighborhood of 120 zettabytes — the equivalent of trillions of terabytes, or more than 120x the amount of every grain of sand on
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Generative AI applications that use text, computer code, protein chains, summaries, video and even 3D graphics require data-center-scale accelerated computing to efficiently train the large language models (LLMs) that power them. In MLPerf Training 4.1 industry benchmarks, the NVIDIA Blackwell platform delivered impressive results on workloads across all tests — and up to 2.2x more
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As models grow larger and are trained on more data, they become more capable, making them more useful. To train these models quickly, more performance,…

As models grow larger and are trained on more data, they become more capable, making them more useful. To train these models quickly, more performance, delivered at data center scale, is required. The NVIDIA Blackwell platform, launched at GTC 2024 and now in full production, integrates seven types of chips: GPU, CPU, DPU, NVLink Switch chip, InfiniBand Switch, and Ethernet Switch.

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The next technology revolution is here, and Japan is poised to be a major part of it. At NVIDIA’s AI Summit Japan on Wednesday, NVIDIA founder and CEO Jensen Huang and SoftBank Chairman and CEO Masayoshi Son shared a sweeping vision for Japan’s role in the AI revolution. Speaking in Tokyo, Huang underscored that AI
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NVIDIA today announced a series of collaborations with SoftBank Corp. designed to accelerate Japan’s sovereign AI initiatives and further its global technology leadership while also unlocking billions of dollars in AI revenue opportunities for telecommunications providers worldwide.

NVIDIA today announced that Japan cloud leaders SoftBank Corp., GMO Internet Group, Highreso, KDDI, Rutilea and SAKURA internet are building AI infrastructure with NVIDIA accelerated computing, networking and software to accelerate transformation across the nation’s robotics, automotive, healthcare and telecom industries.

From call centers to factories to hospitals, AI is sweeping Japan. Undergirding it all: the exceptional resources of the island nation’s world-class universities and global technology leaders such as Fujitsu, The Institute of Science Tokyo, NEC and NTT. NVIDIA software — NVIDIA AI Enterprise for building and deploying AI agents and NVIDIA Omniverse for bringing
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Lifelike digital humans engage with audiences in real time. Autonomous systems streamline complex logistics. And AI-driven language tools break down communication barriers on the fly. This isn’t sci-fi. This is Tokyo’s startup scene. Supercharged by AI — and world-class academic and industrial might — the region has become a global innovation hub. And the NVIDIA
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Consulting giants including Accenture, Deloitte, EY Strategy and Consulting Co., Ltd. (or EY Japan), FPT,  Kyndryl and Tata Consultancy Services Japan (TCS Japan) are working with NVIDIA to establish innovation centers in Japan to accelerate the nation’s goal of embracing enterprise AI and physical AI across its industrial landscape. The centers will use NVIDIA AI
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