Dreamscale Labs
Real-time cloud inference for physical AI
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Cloud infrastructure for deploying robot AI models with optimized latency and performance across the entire stack.
About Dreamscale Labs
Dreamscale Labs provides real-time cloud inference infrastructure designed for physical AI and robotics teams. The platform allows users to deploy frontier AI models like DreamZero and MolmoAct2 without requiring expensive local GPUs, with optimization across model, GPU kernels, network, and real-time chunking layers.
The service enables concurrent robot operation on single hardware instances and achieves significantly lower latency than existing cloud providers. Teams can choose from frontier models or bring their own checkpoints, with support for fine-tuning custom models for specific robotic tasks.
Dreamscale is built for the robotics workflow of experimentation, iteration, and deployment, providing on-demand compute resources that researchers and teams can quickly access and scale.
- gpu
- inference
- model optimization
- low-latency
- robotics
- cloud-compute
- ai deployment
Features worth knowing
- Real-time inference with 320ms latency for DreamZero 14B
- 40-50% lower tail latency than existing cloud providers
- 8+ concurrent robots on single H100
- Support for frontier models including DreamZero and MolmoAct2
- Bring your own model checkpoints
- Fine-tuning for custom robot tasks
- GPU kernel optimization
- Real-Time Chunking network optimization
- On-demand compute for experimentation and iteration
Pricing
Pricing model: Contact for pricing
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