Description
Dreamscale Labs provides a cutting-edge solution for real-time cloud inference tailored for physical AI applications. By eliminating the need for costly local GPUs, Dreamscale Labs allows robotics teams to deploy and evaluate AI models efficiently. The platform is designed to optimize every layer of the AI stack, including models, GPU kernels, and network layers, ensuring that inference is executed with minimal latency.
Read More
One of the standout features of Dreamscale Labs is its ability to run NVIDIA’s DreamZero world action model over the cloud, achieving lower tail latency compared to existing cloud providers. This is accomplished by running concurrently on a single H100, which significantly reduces the silicon requirements. Users can choose from models like DreamZero and MolmoAct2 or bring their own models to the platform.
Dreamscale Labs is particularly beneficial for robotics teams that need on-demand compute capabilities to experiment, iterate, and deploy their AI models. The platform supports real-time chunking, which brings inference closer to the robot, enhancing the overall performance. Currently, the models are in a research preview phase, and interested users can request access to explore the platform's capabilities.
The platform also integrates with various AI and robotics frameworks such as NVIDIA, Ai2, Physical Intelligence, Robbyant, Perceptron, and Hugging Face, allowing users to fine-tune models for specific tasks and run them seamlessly in the cloud.
- CategoryRobotics & AI Hardware
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Dreamscale Labs's Core Features
Real-time cloud inference
Optimized GPU kernels
Low-latency execution
Supports NVIDIA DreamZero model
On-demand compute capabilities
Real-time chunking
Integration with AI frameworks
Research preview access
How to use Dreamscale Labs?
Choose a model: Select from available models or bring your own.
Connect your robot: Integrate your robot with the platform.
Handle compute: Dreamscale manages the compute requirements.
Optimize performance: Utilize platform optimizations for better performance.
Dreamscale Labs's Use Cases
- Robotics Deployment
- Model Optimization
- Cloud Inference
- AI Experimentation
- Real-Time Execution
