Substratus - End-to-End AI Solutions With Privacy at the Core

Substratus End-to-End AI Solutions With Privacy at the Core

Contact for Pricing

Home: https://www.substratus.ai

Developer Tools

#LLM
#infrastructure
#privacy
#Security
#gpu computing
#Model Deployment

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What is Substratus?

Substratus is an enterprise AI serving platform developed by the creators of KubeAI, designed to help organizations deploy and manage AI solutions with complete privacy and control. The platform enables companies to run AI models on their own infrastructure, whether on-premises or in the cloud, while maintaining optimal performance and security.

Built on the foundation of KubeAI, Substratus offers enhanced capabilities including optimized model configurations, comprehensive observability, and auditability features, backed by commercial support with dedicated engineering assistance and round-the-clock support. The platform is optimized for various hardware configurations, including CPU, GPU (NVIDIA & AMD), and TPU.

Features

Model Deployment: Serve LLMs, Embedding Models, and Speech-to-Text in minutes
Autoscaling: Scale from zero to maximum GPU capacity as needed
Dedicated Support: Personal engineer assignment and 24/7 support
Infrastructure Control: Run on private infrastructure with built-in security policies
Batch Processing: Scale up to hundreds of GPUs for large-scale inference tasks
Cross-Platform Compatibility: Optimized for CPU, GPU (NVIDIA & AMD), and TPU

Use Cases

Large-scale document summarization
Enterprise LLM deployment
Secure AI model serving
Batch inference processing
Multi-region AI operations

FAQs

What hardware configurations does Substratus support?

Substratus is optimized for CPU, GPU (NVIDIA & AMD), and TPU configurations.
What type of models can be deployed using Substratus?

Substratus supports LLMs, Embedding Models, and Speech-to-Text models.
How does Substratus handle batch processing?

Substratus can auto-scale up to hundreds of GPUs for batch processing and scale back to zero when complete, with Pub/Sub integration.