Physical AI and Robotics on Kobayashi

Kobayashi serves as the cloud foundation for scaling robotics and vision AI systems — from building and training models to simulating and deploying production-ready solutions. Our large GPU clusters, high-performance storage, and optimized inference environments let you accelerate multimodal model training for robotic perception, run high-fidelity digital twin simulations, and safely deploy AI across industrial use cases.

Pricing
code

Foundational models and robot brains

Train and fine-tune multimodal vision-language-action models for robotic control and perception — then deploy them to production via Kobayashi’s inference environments. We help you speed up delivery, reduce AI costs, and focus on building high-performance robotics models — no cloud infrastructure complexity to manage.

videocam

Vision AI and streaming video analytics

Real-time video analytics for smart cities, industrial monitoring, safety, and compliance. Built for high-throughput workloads (powered by modern RTX GPUs and fast object storage), Kobayashi lets you deploy quickly and run vision AI at scale — at a lower cost.

construction

Building and scaling real-world robots

Design, train, and operate robotic systems for logistics, manufacturing, healthcare, and consumer use cases. Kobayashi lets you fine-tune large perception/control models, run safe simulations, and scale faster — with no infrastructure overhead to manage.

factory

AI-powered manufacturing

Automate assembly, quality inspection, and logistics with intelligent robotics and digital twins. Kobayashi helps you optimize production via AI that perceives, plans, and adapts — so you can focus on innovation, not infrastructure management.

directions_car

Autonomous mobility

Train and validate perception/planning models for autonomous driving systems. Run large-scale simulations, manage sensor data, and generate synthetic driving scenarios — all from a single platform. Kobayashi helps you speed up development and cut AI infrastructure costs.

Cloud and inference foundation for robotics and physical AI

Cloud-native foundation for AI workloads

Kobayashi’s full-stack, AI-first cloud infrastructure is built for demanding workloads: scalable clusters, high-throughput storage, managed orchestration, and baked-in reliability.

Simulation and digital twin workflows

Run large-scale simulations and digital twins to validate robotic/AI behavior before real-world deployment. Kobayashi lets you test, refine, and de-risk models in virtual environments.

Scalable inference deployment

Deploy vision models and AI workloads to production safely and efficiently. Kobayashi’s managed inference environments scale with your needs — keeping your projects agile as they grow.

Unified data platform: TractoAI

We also offer TractoAI — our unified data solution for multimodal physical data (video, sensors, telemetry, control). Store, explore, transform, and align data modalities seamlessly to power your training and inference pipelines.

Proven by AI practitioners

Our in-house AI teams run real production workloads on Kobayashi infrastructure — so what we build is proven to perform under real-world pressure.

Solution architect support

Our solution architects ensure a smooth, predictable AI onboarding experience. With deep technical and industry expertise, they help teams adopt Kobayashi infrastructure efficiently — from initial proof of concept to full production.