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InstinctFlash allows real-time execution of 5B world-action models on Jetson Thor
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InstinctFlash provides a new framework that significantly improves the execution speed of robotics models. The reported speedup of up to 33.78× can enhance real-time decision-making capabilities in robotic systems. This improvement can facilitate more complex tasks and faster responses in robotics applications, making it a valuable tool for engineers in the field.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
InstinctFlash supports real-time execution of various robotics models on Jetson Thor.
The framework reportedly achieves speedups of up to 33.78× in real-robot tests.
It provides compatibility with RTX 4090 and RTX 5090 for desktop inference.
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InstinctFlash is a high-performance serving framework designed for robotics models, enabling real-time execution specifically on the Jetson Thor platform. This advancement allows engineers to leverage powerful AI models, particularly those with 5 billion parameters, enhancing the capabilities of robotic systems.
The notable reported speedup of up to 33.78× is achieved without any observed loss in task performance, indicating that engineers can implement these models in practical applications with confidence in their reliability. However, this performance gain is contingent on specific configurations and optimizations, such as using FP8 precision and appropriate sampling settings.
While the framework is designed to work seamlessly with Jetson Thor, engineers should be aware that it also supports RTX 4090 and RTX 5090 GPUs for those who may deploy on workstations. The installation process requires setting up a dedicated environment for each model family, which could add complexity to the deployment phase but is documented clearly for ease of use.
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