Nvidia Unveils New Cosmos Versions for Robotics Acceleration
NVIDIA Unveils New AI Tools to Revolutionize Robotics and Physical AI Applications
At the recent SIGGRAPH conference, NVIDIA introduced a suite of AI tools aimed at advancing robotics and physical AI applications. The new suite includes the RTX PRO Blackwell Server, Omniverse NuRec, Cosmos Transfer-2, Cosmos Transfer, and Cosmos Reason.
The RTX PRO Blackwell Server provides a unified architecture for robotics development, capable of handling demanding workloads. On the other hand, Omniverse NuRec includes a rendering method called 3D Gaussian splatting for realistic 3D environment reconstruction from sensor data, a feature that will be integrated into CARLA, an open-source simulator popular among robotics developers.
CARLA will also incorporate the 3D Gaussian splatting rendering method from Omniverse NuRec, enhancing its capabilities for simulating realistic environments. This integration will enable developers to create more accurate and lifelike simulations for robotics applications.
One of the highlights of the new suite is Cosmos Reason, a vision-language model with 7 billion parameters. Cosmos Reason is designed to help robots and AI agents reason about their environment, supporting data curation, robotic planning, and video analytics.
In addition, NVIDIA unveiled Cosmos Transfer-2, a model that can rapidly generate synthetic datasets from 3D simulations or spatial control inputs. A distilled, faster version of Cosmos Transfer has also been released for speed-sensitive workflows.
These new tools are already being integrated into the development processes of several companies, including Amazon Devices & Services, Boston Dynamics, Figure AI, Hexagon, Uber, and Zoom. The DGX Cloud platform, offering cloud-based infrastructure for scaling projects without the need for on-premises hardware, is available for these companies and others to utilise.
In industries like smart cities, manufacturing, retail, and logistics, companies are integrating NVIDIA's AI tools such as NVIDIA Metropolis for visual AI agents to enhance operational efficiency and safety. In autonomous vehicle development, firms utilize NVIDIA AI Enterprise tools for AI training, simulation, and deployment, supported by NVIDIA's hardware and software ecosystem.
However, specific company names are not detailed in the available sources regarding the use of these new tools. Nonetheless, it is clear that NVIDIA's latest AI tools are set to make a significant impact on the robotics and physical AI sectors.
As these tools continue to be integrated and refined, we can expect to see advancements in robotics and AI applications that were previously unimaginable. The future of robotics and AI is undoubtedly exciting, and NVIDIA's latest suite of AI tools is a testament to the relentless pursuit of innovation in these fields.
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