Features
Train VLA models in Solo Hub cloud
Train Small Language Models (SLMs) in cloud
Run SLMs locally with Solo Studio
Single-command deployment to robots
Sim-to-sim-to-real bridge for domain transfer
Integration with OpenClaw gripper hardware
Integration with Sonic AGIBot X2 humanoid
Physical AI Gym for testing models
Real-time inference and control loop
GPU compute with NVIDIA Vera Rubin, GB300, B300, Blackwell, Hopper, Ada Lovelace
CPU compute and bare metal servers
AI Object Storage with zero egress migration
Distributed file storage and dedicated VAST Storage
Backblaze multi-exabyte storage integration
Managed Kubernetes with automated provisioning
SUNK runtime acceleration for reinforcement learning
MLPerf v5.0 leading training and inference performance
CoreWeave Sandbox for model and agent development
Mission Control for observability, security, fleet lifecycle
Tensorizer for model optimization
Cluster Health Management and monitoring
Node lifecycle controller for automated node management
High-performance networking for cluster scale-out
Capacity plans with guaranteed compute and pricing
