
TL;DR: We're 40-50% faster than existing cloud providers in serving frontier robot AI models, e.g. DreamZero, MolmoAct2.
https://www.youtube.com/watch?v=jVqvJFBRcd0
[1x speed, autonomous]
DSL is building the fastest cloud inference platform for robotics. We let you deploy physical AI without needing expensive local GPUs.
Robot foundation models are growing more and more computationally expensive. The latest frontier of robotics no longer fits feasibly on local GPUs. Compute costs keep soaring amidst a global LPDDR shortage; NVIDIA just doubled the prices of Jetsons in July.
We're taking a contrarian bet that the future is moving inference off the robot and into the cloud.
How do we do this? We work across the full stack of robot inference to push latency down:
These optimizations enable us to be 8% faster than NVIDIA's implementation at half the GPU count (320ms vs 350ms, for DreamZero 14B).
Furthermore, something we noticed for robotics companies with fast R&D cycles was that their GPUs had long idle periods with concentrated bursts of inference traffic. We're one of the first companies in the world to offer on-demand pricing for physical AI inference, giving users more flexibility with the cost.
We're already working closely with a range of early partners across deployment, research and evaluation. In full FDE spirit, we collaborate with our customers to custom-fit inference stacks that address their unique deployment challenges. We help you get your robot AI to deployment faster.
Our mission is to democratize access to frontier physical intelligence, and we believe cloud is the way forward. You can read our thesis here:
• http://dreamscalelabs.com/blog/why
Our ask: Reach out at founders@dreamscalelabs.com !