Neural Grid

Distributed Intelligence Infrastructure

Neural Grid

Distributed Intelligence Infrastructure

Neural Grid is our distributed computing platform that enables organizations to deploy, scale, and manage AI workloads across hybrid cloud environments. It provides the infrastructure backbone for enterprise AI at any scale.

Key Features

Built for enterprise scale with security and performance at its core.

Auto-Scaling

Automatically scale compute resources up or down based on workload demands.

Edge Deployment

Run AI models at the edge for low-latency, high-privacy applications.

Model Optimization

Automatic model quantization and optimization for efficient deployment.

Observability

Comprehensive monitoring, logging, and analytics for all AI workloads.

Core Capabilities

Multi-cloud and hybrid deployment
GPU cluster management
Model versioning and rollback
A/B testing and canary deployments
Federated learning support
Cost optimization and resource scheduling

Use Cases

See how leading organizations are using Neural Grid.

Global AI Deployment

Deploy AI models across regions with automatic load balancing and failover.

Model Training at Scale

Distributed training across thousands of GPUs with efficient data pipelines.

Real-Time Inference

Low-latency model serving for applications requiring immediate responses.

Technical Specifications

Maximum Nodes10,000+
Cloud ProvidersAWS, Azure, GCP
Inference Latency< 50ms p99
Data Transfer100 Gbps

Ready to Deploy Neural Grid?

Talk to our solutions team about how Neural Grid can transform your organization.