NVIDIA released Kumo Tabular, an open foundation model for tabular classification and regression that predicts labels for new rows in a single forward pass without training, tuning, or feature engineering. It ranks first on TabArena overall with an ELO of 1950. The release makes a pretrained tabular-Transformer available on Hugging Face under OpenMDW-1.1, aimed at faster accuracy-efficiency tradeoffs than prior tabular approaches.
China blocked access to Hugging Face in 2023, which helped drive the push for domestic open-model platforms like ModelScope and MoArk while some labs still share models through the blocked route. ModelScope hosts more than 170,000 models as of March. As a result, China’s open-model ecosystem is expanding with faster download and local chip compatibility efforts, and developers are evaluating domestic sites versus Hugging Face and GitHub.
SiMa.ai raised a $150M Series C co-led by Fidelity and Amplify at a $1.45B valuation, pitching its on-device chips and open-source Palette Neat software against Nvidia for physical robots, drones, and cars. The company says its next chip arrives in the first half of 2028, after revenue quadrupled from 2024 to 2025. The funding will be used mainly to scale Palette Neat and develop the next hardware generation, but the switch away from Nvidia depends on future 2028 performance and customer adoption.
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