Kafeido-Accelerator

An performance-driven AI workload, optimized for high-performance inference at scale, supported with KServe and Kubernetes.

Learn More Contact Sales
kafeido-inference

Key Features

KServe Integration

Built on top of KServe for serving multiple ML models on Kubernetes with advanced orchestration capabilities.

Python SDK Offering

Offered Python SDK for seamless integration.

High Performance

Optimized for low-latency, high-throughput model serving with automatic scaling based on demand.

Enterprise Security

Built-in security features with authentication, authorization, and end-to-end encryption.

Real-time Monitoring

Comprehensive monitoring and logging for model performance, resource usage, and predictions.

Model Versioning

Advanced model version management with canary deployments and A/B testing capabilities.

Technical Specifications

  • KServe-based architecture
  • Support for TensorFlow, PyTorch, ONNX, and custom models
  • Auto-scaling based on traffic patterns
  • Multi-model serving capabilities
  • Batch prediction support
  • Explainability and drift detection
  • gRPC and REST API endpoints
  • Prometheus metrics integration
  • GPU/TPU acceleration support
  • Cloud-native deployment options
Inference Architecture

Scale Your ML Inference with Confidence

Experience high-performance model serving with enterprise-grade reliability and sustainability.

Request a Demo

Address

13F, No. 1, Nanhai Rd, Zhongzheng District, Taipei City, 100 kafeido@footprint-ai.com

Links

Home About Products Features Pricing Contact Us ISME Policy

Footprint-AI

Bring Machine Learning to Everyone.
Footprint-AI focuses on a sustainable AI/ML platform, specializing in large-scale data analysis, MLOps, green software, and cloud native.