← Back to AI & Machine Learning
Deploy and scale machine learning models with enterprise-grade infrastructure. Support for TensorFlow, PyTorch, scikit-learn, XGBoost, and custom frameworks. Auto-scaling with GPU acceleration and optimized inference for low-latency predictions. A/B testing, canary deployments, and multi-version model management. Monitor performance, track predictions, and detect model drift in real-time.
🔧 Framework Support
TensorFlow, PyTorch, scikit-learn, ONNX, custom
⚡ Auto-Scaling
Scale from zero to thousands of requests/sec
🎮 GPU Acceleration
NVIDIA T4, V100, A100 for fast inference
📦 One-Click Deploy
Deploy models from notebooks or Git repos
🔄 Version Control
Manage multiple versions, rollback instantly
🧪 A/B Testing
Compare models, canary releases, traffic splitting
📊 Monitoring
Track latency, throughput, errors, drift
🔒 Security
API keys, rate limiting, VPC, encryption
🌐 REST & gRPC APIs
Flexible integration with any application
🛒 Recommendation Engines
Serve personalized product recommendations
💬 NLP Services
Host sentiment analysis, translation, chatbots
👁️ Computer Vision
Deploy object detection, face recognition APIs
🎯 Fraud Detection
Real-time transaction scoring and anomaly detection
📈 Predictive Analytics
Serve forecasts, demand predictions, churn models
🏥 Medical Diagnosis
Deploy healthcare AI models with HIPAA compliance
Scale your ML models from prototype to production seamlessly