Key Points
- The NVIDIA GH200 Grace Hopper Superchip is designed for giant-scale AI and HPC applications, delivering unmatched performance and compute efficiency.
- The integration of Grace and Hopper architectures using NVLink-C2C technology enables a CPU+GPU coherent memory model for accelerated applications.
- GH200-powered systems join over 400 configurations based on NVIDIA's latest CPU, GPU, and DPU architectures, catering to the surging demand for generative AI.
- NVIDIA's comprehensive software support, including AI Enterprise, Omniverse, and RTX, ensures a full-stack computing experience across accelerated systems.
- The GH200 Superchip marks a significant milestone in AI and HPC technology, empowering researchers and developers to tackle the world's most complex problems
NVIDIA, a leading technology company known for its cutting-edge innovations, has recently unveiled its groundbreaking accelerated CPU, the NVIDIA GH200 Grace Hopper Superchip. Designed specifically for giant-scale AI (Artificial Intelligence) and high-performance computing (HPC) applications, this superchip promises higher performance, faster memory, and massive bandwidth, revolutionizing the way scientists and researchers tackle complex problems.
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The GH200
The NVIDIA GH200 Grace Hopper Superchip integrates the Grace and Hopper architectures using the advanced NVIDIA NVLink-C2C technology, resulting in a CPU+GPU coherent memory model that drives accelerated AI and HPC applications. With a new 900 gigabytes per second (GB/s) coherent interface, this superchip offers an impressive 7X faster data transfer rate compared to PCIe Gen5, delivering unparalleled compute efficiency.
One of the key advantages of the GH200 Superchip is its compatibility with various NVIDIA software stacks and platforms, including the NVIDIA HPC SDK, NVIDIA AI, and NVIDIA Omniverse. This ensures seamless integration and support for a wide range of applications, allowing researchers and developers to harness its immense power and capabilities.
The production of GH200-powered systems is already underway, with more than 400 system configurations based on NVIDIA's latest CPU, GPU, and DPU architectures, such as NVIDIA Grace, Hopper, Ada Lovelace, and BlueField. These configurations are specifically designed to meet the growing demand for generative AI, which has the potential to transform industries such as healthcare, finance, and business services.
During COMPUTEX event, NVIDIA's founder and CEO, Jensen Huang, shared further details about the GH200 Grace Hopper Superchip. He highlighted its remarkable features, including the integration of Arm-based NVIDIA Grace CPU and Hopper GPU architectures, powered by the NVLink-C2C interconnect technology. This integration enables a total bandwidth of up to 900GB/s, a significant improvement over traditional accelerated systems, providing exceptional computational capabilities for demanding generative AI and HPC applications.
Ian Buck, the Vice President of Accelerated Computing at NVIDIA, emphasized the transformative impact of generative AI on businesses and industries, stating, "With Grace Hopper Superchips in full production, manufacturers worldwide will soon provide the accelerated infrastructure enterprises need to build and deploy generative AI applications that leverage their unique proprietary data."
GH200-powered systems will be available to global hyperscalers and supercomputing centers, allowing them to leverage the immense power of NVIDIA's advanced technology in their operations. Furthermore, numerous system manufacturers worldwide, including AAEON, ASUS, Dell Technologies, and Lenovo, among others, are partnering with NVIDIA to bring a wide variety of accelerated systems to the market.
NVIDIA's dedication to providing a full-stack computing experience across accelerated systems is evident in its comprehensive software support. The NVIDIA AI Enterprise software layer offers over 100 frameworks, pretrained models, and development tools, simplifying the development and deployment of production AI. Moreover, the NVIDIA Omniverse platform, based on the Universal Scene Description framework, enables seamless collaboration in real-time shared environments, facilitating the creation of metaverse applications.
Nvidia RTX Platform
The NVIDIA RTX platform, known for its integration of ray tracing, deep learning, and rasterization, has revolutionized content creation and development processes. Supporting industry-leading tools and APIs, applications built on the RTX platform offer real-time photorealistic rendering and AI-enhanced graphics, video, and image processing capabilities. This empowers designers and artists to unleash their creativity and produce exceptional work.
In conclusion, the NVIDIA GH200 Grace Hopper Superchip represents a significant leap forward in CPU technology, catering to the ever-growing demands of AI and HPC applications. With its higher performance, faster memory, and massive bandwidth, this superchip is poised to reshape industries and unlock new possibilities in solving complex problems. As NVIDIA continues to push the boundaries of innovation, the future of AI and HPC looks promising, with the GH200 Superchip leading the way towards unprecedented solutions.
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About NVIDIA CORP
- Ticker NVDA
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- Description
- NVIDIA Corporation provides graphics, and compute and networking solutions in the United States, Taiwan, China, and internationally. The company's Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise wo...