Enabling Collaborative Intelligence

Accelerate your machine learning workflows with distributed computing

1

Upload Your Computational Challenge

  • Define your machine learning task
  • Specify model architecture
  • Upload training datasets

* Supported Frameworks

PyTorch, Custom Neural Networks

2

Automated Network Orchestration

  • Discovers available computational nodes
  • Allocates resources dynamically
  • Distributes task across nodes
  • Manages secure protocols
3

Collaborative Processing

  • Nodes process assigned segments
  • Encrypted weight transmission
  • Continuous monitoring
  • Adaptive resource allocation

How people are using The Cortex

Distributed Training

Define neural network architectures, specify training data, and configure experiments. Cortex optimizes resource allocation for efficient distributed training.

Accelerate AI research at scale.

Training Models

Submit model training jobs and let Cortex handle distributed training, weight synchronization, and performance monitoring across compute nodes.

Train state-of-the-art models with ease.

Real-time Analysis

Perform distributed data processing and real-time analysis. Cortex provides performance monitoring, metrics tracking, and visualization.

Unlock insights from massive datasets.