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NVIDIA Corporation has partnered with Microsoft to showcase its cutting-edge technology on Windows RTX AI PCs. This collaboration aims to accelerate Windows app development and push the boundaries of AI-powered applications, further solidifying NVIDIA's position as a leader in the field of artificial intelligence.
NVIDIA partners with Microsoft to showcase cutting-edge technology for accelerating Windows app development.AI will drive scientific breakthroughs, emphasizing NVIDIA's commitment to harnessing AI power for society.The NVIDIA Blackwell Preview facilitates the development and optimization of AI-powered apps on RTX AI PCs.Omniverse Industrial AI enables more sophisticated AI models that can perceive and understand their surroundings.CuPyNumeric allows researchers to tackle complex tasks with unprecedented speed and efficiency.NVIDIA's multimodal small language models process both text and imagery, excel in role-playing, and are optimized for rapid response times.Mistral NeMo Minitron 128k Instruct family offers flexible options for balanced speed, memory usage, and accuracy on RTX AI PCs.TensorRT Model Optimizer updates include advanced quantization algorithms to reduce model memory footprint and improve performance.
NVIDIA Corporation, a leading innovator in the field of artificial intelligence (AI), has recently partnered with Microsoft to showcase its cutting-edge technology, Blackwell, Omniverse Industrial AI, and RTX AI PCs. This collaboration is aimed at accelerating Windows app development on these powerful computing devices, further solidifying NVIDIA's position as a leader in the AI sector.
The announcement was made during Microsoft Ignite, a premier event for developers, IT professionals, and business leaders. NVIDIA's CEO stated that AI will drive scientific breakthroughs, emphasizing the company's commitment to harnessing the power of AI for the betterment of society. This sentiment is echoed by Microsoft, which aims to empower developers with the tools necessary to build innovative AI-powered applications.
One of the key technologies showcased during this event is the NVIDIA Blackwell Preview, a powerful tool designed to facilitate the development and optimization of AI-powered apps on RTX AI PCs. By leveraging the capabilities of these devices, developers can create complex AI workflows for applications such as AI agents, app assistants, and digital humans. The Omniverse Industrial AI, another significant innovation, enables the creation of more sophisticated AI models that can perceive and understand their surroundings, further enhancing the realism of digital human interactions.
Furthermore, NVIDIA's cuPyNumeric release has made it possible for scientists to harness GPU acceleration at a cluster scale. This breakthrough allows researchers to tackle complex tasks with unprecedented speed and efficiency, paving the way for groundbreaking discoveries in various fields. Additionally, the Hopper Scales New Heights announcement highlights the company's dedication to accelerating AI and HPC applications for mainstream enterprise servers.
A notable aspect of this collaboration is the introduction of NVIDIA's multimodal small language models. These innovative models can process both text and imagery, excel in role-playing, and are optimized for rapid response times. The Nemovision-4B-Instruct model, soon to be available, utilizes the latest NVIDIA VILA and NVIDIA NeMo framework to distill, prune, and quantize AI models, enabling them to perform on RTX GPUs with the desired accuracy.
Another significant development is the introduction of the Mistral NeMo Minitron 128k Instruct family, a suite of large-context small language models designed for optimized, efficient digital human interactions. These models offer flexible options for balancing speed, memory usage, and accuracy on RTX AI PCs, handling large datasets in a single pass and eliminating the need for data segmentation and reassembly.
NVIDIA's TensorRT Model Optimizer (ModelOpt) has also received updates to cater to the needs of developers working with Windows. This tool enables models to be optimized into an ONNX checkpoint for deploying the model within ONNX runtime environments — using GPU execution providers such as CUDA, TensorRT, and DirectML. Advanced quantization algorithms, such as INT4-Activation Aware Weight Quantization, are included in this update, reducing the memory footprint of the model and improving throughput performance on RTX GPUs.
In conclusion, NVIDIA's collaboration with Microsoft marks a significant milestone in the development of AI-powered applications. By harnessing the power of RTX AI PCs and introducing innovative technologies such as Blackwell, Omniverse Industrial AI, and multimodal small language models, the company is well-positioned to accelerate scientific breakthroughs and drive innovation across various industries.
Related Information:
https://blogs.nvidia.com/blog/ai-decoded-microsoft-ignite-rtx/
Published: Tue Nov 19 10:07:46 2024 by llama3.2 3B Q4_K_M
