Product - Alauda AI

Alauda AI

Alauda AI is a robust, full-stack platform designed to support cutting-edge AI and large-model productivity. It integrates tools for developing, deploying, and optimizing machine learning and deep learning workloads. Built on Kubernetes, the platform seamlessly scales across multi-cloud and multi-datacenter environments, offering organizations a comprehensive solution for modern AI-driven applications.

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Unified Model Development

Data Management

Scalable Inference

Rapid AI Applications

Cross-Cloud Optimization

Benefits of Alauda AI

Accelerate AI Innovation

Out-of-the-box support for large language models (LLMs) and multimodal models, enabling rapid AI solution development and deployment.

Streamline Model Operations

Unified management of computing resources and training workflows to optimize resource utilization and improve cluster performance.

Enhance Collaboration

Integrated tools like Jupyter Notebook and VSCode with GPU/vGPU support streamline development and foster team collaboration.

Future-Proofed Extensibility

Supports custom training templates, scalable device plugins, and integration with evolving AI/ML frameworks.

Core Features of Alauda AI

Unified Resource Management

Centralized scheduling and monitoring for CPUs, GPUs, NPUs, and other devices, ensuring high performance and resource optimization.

Advanced Development Tools

Visual workflow orchestration, IDE integration, and support for popular frameworks like TensorFlow, PyTorch, and HuggingFace.

Dataset Handling

Git-based version control, automated annotation, and feature platforms streamline dataset management.

Model Optimization

Fine-tuning, distributed training, AutoML capabilities, and performance tracking tools ensure efficient model lifecycle management.

Inference Deployment

One-click model deployment with advanced scaling, monitoring, and API compatibility for production-grade performance.