Unverified50% confidenceFactExact time
The core training technology of VKORE-46M-NPU is proprietary, is in the process of patent application, and details will be published in a subsequent paper; the core training code has not been open-sourced for the time being for intellectual property protection.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedVKORE uses a software layer to fill the gap in NPUs' training capability, enabling NPUs to execute training workloads without changing their silicon design.70% similarUnverifiedVKORE's implementation approach is to recombine, in software, the training compute primitives missing from inference-only NPUs (such as gradient computation and weight updates) based on the low-level operations the NPU itself supports, and to maximize hardware utilization through scheduling.68% similarUnverifiedVKORE's numerical behavior during training on NPUs is consistent with standard training; it is real training, not an approximation.67% similarUnverifiedRumor has it that V4.1 will be built on a brand-new pre-training foundation.63% similarUnverifiedOpen-weight models refer to models that, after training, publicly release the neural network parameter weights under an open license, allowing them to be downloaded and run on one's own hardware and fine-tuned with proprietary data without paying inference fees.63% similar
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