Product
Two Lines of Code. Intelligent AI Orchestration Goes Full-Stack.
No YAML. No Kubernetes. No infrastructure PhD required. SwarmOne's Python SDK gives data scientists direct access to the Multi-Tenant Intelligent Serving engine through a pure Python interface.
“SwarmOne boosted personnel efficiency by about 90%, significantly reduced training costs, and enhanced delivery, making us far more competitive in our market.”
SDK
The Full AI Lifecycle is Covered
API Design Covers Research, Evaluation, Deployment
.train() .evaluate() .deploy() - hands your model to the Multi-Tenant Intelligent Serving engine. SLO enforcement and cost optimization activate automatically.
Define Your SLO in Code
Multi-Tenant Intelligent Serving engine reads your SLO targets and enforces them automatically, selecting hardware and autoscaling.
Features
SDK Features that Eliminate Complexity
Three Core Methods
.train() .evaluate() .deploy() - each accepts standard Python objects. No proprietary formats.
Autonomous Hardware Selection
Submit your model and SLO. SwarmOne picks the hardware. Automatically.
Real-Time SLO Monitoring
Track latency, cost per 1M tokens, throughput directly from your IDE.
Flexible Deployment
Deploy to your cloud, your own infrastructure or SwarmOne Managed - no change in code.
Framework Agnostic
PyTorch, Hugging Face, TensorFlow. Native integration with W&B, MLflow, TensorBoard, ClearML.
Real-Time Monitoring
GPU usage, costs, and performance metrics are all live in SwarmOne's dashboard.
Experience SwarmOne Today
Schedule a demo and see how SwarmOne can transform your AI infrastructure.