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This week, we're diving headfirst into the realm of innovation with 英伟达 's announcements.
NVIDIA GTC 2024 AI and Cloud key product announcements
NVIDIA is all the rage as GTC 2024 kicks off with generative AI and Cloud computing dominating announcements, here we will explore the NVIDIA GTC 2024 AI and Cloud key announcements so you can keep on top of all the exciting developments.
The arrival of the NVIDIA Blackwell Platform
The arrival of the NVIDIA Blackwell Platform comes as no surprise to those following the tech giant, with the platform poised to power the ‘new era of computing,’ as touted by Jensen Huang, Founder and CEO of NVIDIA.
Here’s what you need to know:
NVIDIA announces digital twin for Earth’s climate
To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA has announced its Earth-2 climate digital twin Cloud platform for simulating and visualising weather and climate at an unprecedented scale.
Part of the NVIDIA CUDA-X microservices, announced separately today, Earth-2’s new Cloud APIs on NVIDIA DGX Cloud allow virtually any user to create AI-powered emulations to speed delivery of interactive, high-resolution simulations ranging from the global atmosphere and local Cloud cover to typhoons and turbulence.
When combined with proprietary data owned by companies in the $20 billion climate tech industry, the Earth-2 application programming interfaces help users deliver warnings and updated forecasts in seconds compared to the minutes or hours in traditional CPU-driven modelling.
NVIDIA Blackwell-powered DGX SuperPOD for generative AI supercomputing
NVIDIA has announced its next-generation AI supercomputer — the NVIDIA DGX SuperPOD powered by NVIDIA GB200 Grace Blackwell Superchips — for processing trillion-parameter models with constant uptime for superscale generative AI training and inference workloads.
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Featuring a new, highly efficient, liquid-cooled rack-scale architecture, the new DGX SuperPOD is built with NVIDIA DGX GB200 systems and provides 11.5 exaflops of AI supercomputing at FP4 precision and 240 terabytes of fast memory — scaling to more with additional racks.
Each DGX GB200 system features 36 NVIDIA GB200 Superchips — which include 36 NVIDIA Grace CPUs and 72 NVIDIA Blackwell GPUs — connected as one supercomputer via fifth-generation NVIDIA NVLink. GB200 Superchips deliver up to a 30x performance increase compared to the NVIDIA H100 Tensor Core GPU for large language model inference workloads.
Google Cloud and NVIDIA expand AI development partnership
Google Cloud and NVIDIA have announced a deepened partnership to enable the machine learning (ML) community with technology that accelerates their efforts to easily build, scale and manage generative AI applications.
To continue bringing AI breakthroughs to its products and developers, Google announced its adoption of the new NVIDIA Grace Blackwell AI computing platform, as well as the NVIDIA DGX Cloud service on Google Cloud. Additionally, the NVIDIA H100-powered DGX Cloud platform is now generally available on Google Cloud.
Building on their recent collaboration to optimise the Gemma family of open models, Google also will adopt NVIDIA NIM inference microservices to provide developers with an open, flexible platform to train and deploy using their preferred tools and frameworks. The companies also announced support for JAX on NVIDIA GPUs and Vertex AI instances powered by NVIDIA H100 and L4 Tensor Core GPUs.
NVIDIA generative AI research turns text to 3D objects
NVIDIA's latest foray into generative artificial intelligence?has yielded LATTE3D, a text-to-3D AI model that heralds a new era in digital creation.
The model has the capability to transform textual prompts into detailed 3D representations of objects and animals in mere seconds.
Developed by the Toronto-based AI lab team led by Sanja Fidler, NVIDIA's Vice President of AI Research, LATTE3D has significantly accelerated the process of generating high-quality 3D visuals. "A year ago, it took an hour for AI models to generate 3D visuals of this quality – and the current state of the art is now around 10 to 12 seconds," Fidler stated. "We can now produce results an order of magnitude faster, putting near-real-time text-to-3D generation within reach for creators across industries."
This technological leap is made possible by running inference on powerful GPUs such as the NVIDIA RTX A6000, enabling almost instantaneous production of 3D shapes. LATTE3D is designed to integrate seamlessly into virtual environments, making it an invaluable tool for a wide range of applications, from video game development and advertising campaigns to design projects and virtual robotics training.
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