1. In April 2024, Lenovo unveiled new hybrid AI solutions with the help of NVIDIA to provide specific generative AI solutions to each enterprise and cloud. The latest additions to Lenovo’s ThinkSystem AI lineup include the 8-way NVIDIA GPU systems that are ideal for generative AI, natural language processing, and large language model creation.
2. In March 2024, NVIDIA launched the DGX SuperPOD, based on the NVIDIA GB200 Grace Blackwell Superchips. This advanced system is optimized for trillion-parameter models running 24/7 for superscale generative AI training and inference, that incorporates liquid cooling at the rack scale to offer five exaflops of performance and fixed-point four-bit precision.
3. In March 2024, Cadence Design Systems and NVIDIA deepened their partnership revealing two breakthrough technologies. With the partnership, the Cadence Reality Digital Twin Platform using NVIDIA Omniverse, bolstered data center design and simulation performances by 30X. Furthermore, Cadence’s Orion molecular design platform was enhanced by NVIDIA’s BioNeMo and microservices to accelerate drug discovery.
4. In January 2024, the NVIDIA corporation released the GeForce RTX SUPER desktop GPUs and new AI Laptops. As part of the announcement, there were new AI software and tools for developers and consumers that improve PC experience with generative AI. This included turing of the Stable Diffusion XL model by NVIDIA TensorRT and NVIDIA RTX Remix with generative AI texture tools.
5. In May 2023, NVIDIA rolled out Spectrum-X which is an accelerated networking platform for Ethernet-based artificial intelligent clouds. This is done through integrating the Spectrum-4 Ethernet switch with the BlueField-3 DPU for better AI performance as well as power efficiency. It runs with the support of NVIDIA acceleration software and tools that empowers developers to build software-defined AI systems for the cloud.
6. In March 2023, NVIDIA released four inference platforms suitable for generative AI use cases. The platforms meshed up latest NVIDIA software stack with latest processors for AI video, image generation, language models and recommender systems. The launch was intended to equip developers with effective means for creating highly specific AI solutions.
7. In September 2022, NVIDIA launched Omniverse Cloud, which is a set of various cloud-based solutions aimed at allowing artists, developers and enterprise teams to design, publish, operate and experience metaverse applications across multiple environments. With 3D collaboration on Omniverse Cloud, there was no need for local compute power for 3D workflows; AI machine training; and simulating self-driving vehicles.
Therefore, NVIDIA Corporation always pays special attention to innovations and developments by using cooperation with other companies, mergers, and acquisitions, as well as introducing new products. The organization’s platform approach unites the hardware, software, algorithms, and libraries to generate new value. For NVIDIA, the key success factor is superior product capabilities, which are achieved by prioritizing performance over cost. The company’s diversified product portfolio comprises graphics processing units, data science and high-performance computing, and system-on-chip units, especially for mobile computing as well as the automobile industry.
