Working with NVIDIA and its partners, Indonesia’s technology leaders have launched an initiative to bring sovereign AI to the nation’s more than 277 million Indonesian speakers. The collaboration is grounded in a broad public-private partnership that reflects the nation’s concept of “gotong royong,” a term describing a spirit of mutual assistance and community collaboration. NVIDIA
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Month: November 2024
When interfacing with generative AI applications, users have multiple communication options—text, voice, or through digital avatars. Traditional chatbot…
When interfacing with generative AI applications, users have multiple communication options—text, voice, or through digital avatars. Traditional chatbot or copilot applications have text interfaces where users type in queries and receive text-based responses. For hands-free communication, speech AI technologies like automatic speech recognition (ASR) and text-to-speech (TTS) facilitate…
The RAPIDS v24.10 release takes another step forward in bringing accelerated computing to data scientists and developers with a seamless user experience. This…
The RAPIDS v24.10 release takes another step forward in bringing accelerated computing to data scientists and developers with a seamless user experience. This blog post highlights the new features including: NetworkX accelerated by RAPIDS cuGraph is now GA in the 24.10 release beginning with NetworkX 3.4. This release adds GPU-accelerated graph creation, a new user experience…
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Mastering LLM Techniques: Data Preprocessing
The advent of large language models (LLMs) marks a significant shift in how industries leverage AI to enhance operations and services. By automating routine…
The advent of large language models (LLMs) marks a significant shift in how industries leverage AI to enhance operations and services. By automating routine tasks and streamlining processes, LLMs free up human resources for more strategic endeavors, thus improving overall efficiency and productivity. Training and customizing LLMs for high accuracy is fraught with challenges…
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The twirling tiles puzzle
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…
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.
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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