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Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model

The Decoderby Matthias Bastian ()1 min read2
AI summary · grok-4.7Summaries by Vani AI

Reka AI previewed Rho-1, a 19B omni-model for text, images, video, and robot control.

Reka AI released a research preview of Rho-1, a 19-billion-parameter model that processes and generates text, images, video, and robot-control actions in one network. Modalities are tokens in a shared context window, without tool calls or external models, and video generation can continue as new instructions arrive. The same weights predict camera images and drive robot movement; an inverse-dynamics model extracted control signals from ordinary internet videos. Training used 320 H100 GPUs over about three months. Reka previously shipped multimodal Reka Core in April 2024.

Key facts
  • Rho-1 is a 19B model handling text, images, video, and robot actions.
  • All modalities share one context window, with no external model calls.
  • It continues video generation while accepting new instructions.
  • Training used 320 H100 GPUs for about three months.
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From the original article

1 min read at the-decoder.com

Reka AI's Rho-1 is a 19-billion-parameter omni-model that processes and generates text, images, video, and robot control actions in a single neural network. Trained on 320 H100 GPUs in about three months, it uses a fraction of the compute today's top models need. Instead of routing tasks to specialized systems, Rho-1 runs all modalities as tokens in one shared context window.

The Decoder

By Matthias Bastian · the-decoder.com

Read the full article at The Decoder

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