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🤖Robotics Framework Boosts Performance Up to 33.78x

33.78x speedup for robotics models, no loss in performance

TL;DR

A new high-performance framework for robotics models offers up to 33.78x speedup without sacrificing performance. Supports RTX 5090 and RTX 4090, with benchmarks across multiple models.

A high-performance serving framework for robotics models has been released, boasting a speedup of up to 33.78x with LingBot-VA @2V/4A. This framework, designed for RTX 5090 and RTX 4090 GPUs, supports real-robot tests without performance degradation. If you're working with robotics models, this could slash your training times and improve efficiency. The framework supports eight robotics model families, acceleration kernels, and Python/WebSocket serving through one Runtime. It also includes a full-source release and a native VA 2V/4A protocol.

Robotics Framework Boosts Performance Up to 33.78x — GitHub

Key Points

1

Framework supports RTX 5090 and RTX 4090 GPUs

2

Speedup of up to 33.78x with LingBot-VA @2V/4A

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Supports eight robotics model families

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Includes acceleration kernels and Python/WebSocket serving

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Full-source release with native VA 2V/4A protocol

Why It Matters

If you're developing robotics models on RTX 5090 or RTX 4090 GPUs, this framework could cut your training times significantly. For instance, LingBot-VA @2V/4A sees a 33.78x speedup without any loss in performance. This could be a game changer for teams working on real-time robotics applications.

roboticshigh-performanceframeworkgpuspeedup

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