Shulou(Shulou.com)11/24 Report--

Nvidia officially launched its annual GTC event and introduced its artificial intelligence marketing plan in detail. Nvidia CEO Huang Renxun delivered a keynote speech entitled "Don't miss the defining moment of AI". Huang Renxun stressed the important role of accelerated computing and artificial intelligence in meeting today's challenges and seizing future opportunities.

Huang Renxun said that the GTC conference has attracted more than 250000 participants, at which industry leaders such as Dennis Hassabis from DeepMind, Valerie Taylor from Argonne National Laboratory, Scott Belsky from Adobe, Carl DeBouver from Netflix and other industry leaders delivered speeches. There were 650 wonderful lectures at the conference, covering many fields, such as generative AI, the application of pre-training multi-task model in robot field, synthetic data generation and so on.

Huang Renxun stressed in his speech that Nvidia has successfully developed a series of acceleration libraries that connect a variety of applications and thus connect various industries around the world. Nvidia has worked with industry giants to provide solutions for automotive and aerospace, healthcare, manufacturing, financial services, retail, media and many other areas.

Huang Renxun also focused on some new acceleration libraries, including CFD solver, quantum computing platform, data processing engine Spark Rapids, vector database acceleration library Raft, and so on. These libraries will provide enterprises and researchers around the world with more powerful computing power to solve a variety of complex problems.

Nvidia also released a series of new features, including model analyzer, model composition support, multi-GPU, multi-node reasoning, etc., to improve the performance of the large language model GPT-3. Nvidia has launched a new Triton management service to help customers improve the throughput and cost-effectiveness of the deployment model.

First, Huang Renxun said in the keynote speech that Nvidia will take advantage of the new open source CUDA Quantum, which provides a revolutionary new high-performance and low-latency architecture for researchers engaged in quantum computing.

In addition, ATT will use NVIDIA AI to process data more efficiently, optimize service vehicle routes, and create digital twins and avatars.

Second, CV-CUDA Beta optimizes pre-processing and post-processing to achieve higher cloud throughput at 1/4 cost and energy. Microsoft, Tencent, Baidu and other companies are adopting CV-CUDA 's opensource for their computervision applications.

3. Medtronic will integrate NVIDIA healthcare and edge technologies to accelerate the development of # AI and introduce new AI-based solutions to patient care.

Fourth, Huang Renxun announced at the scene that the launch of NVIDIA cuLitho is a breakthrough in the field of computational lithography, enabling semiconductor leaders to accelerate the design and manufacture of the next generation of chips.

5. NVIDIA Grace ™CPU paves the way for energy-saving computing in every data center. Compared with mainstream applications, x86 is twice as energy efficient.

Nvidia has launched a series of acceleration libraries to solve new challenges and open up new markets. These libraries include CFD solvers for the automotive and aerospace industries, Nvidia Quantum platforms for quantum computing, Spark Rapids for large-scale data processing, and Nvidia COOP for optimizing logistics services.

The newly released Nvidia CBCode and VPF cloud service libraries will help customers process video content more efficiently.

Nvidia GTC 2023 Conference demonstrated the company's leading position in accelerated computing and AI technology, and highlighted its key role in promoting global sustainable development and digital transformation. As more and more enterprises cooperate with Nvidia, more innovations and breakthroughs will be witnessed in the future.

9. DGX Cloud gives enterprises immediate access to the multi-node AI supercomputing service, which is designed to train high-level models for generating # AI and other breakthrough applications.

NVIDIA NeMo services can help enterprises combine large language models with their proprietary data to provide support for smarter chatbots, customer service, etc. # LLM is getting smarter and smarter about enterprise data.

In conclusion, Huang Renxun said that Nvidia will continue to invest in research and development to help various industries around the world achieve sustainable development, reduce costs and innovate services. "the future of Nvidia's accelerated computing and artificial intelligence is full of opportunities, and we will continue to work to provide greater computing power to companies and researchers around the world," he said. "

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