dstack
Open-source GPU-native orchestration for AI teams.
Updated 11d ago
Has API
PricingFreemium
Free to $99/mo
GPU Orchestration
Model Training
Model Inference
About Helix
Helix (Helix.ml) is a high-performance, decentralized AI infrastructure platform designed for enterprises that require absolute data sovereignty and scalable inference for open-source models. Built on a foundation of vLLM and advanced GPU orchestration, Helix allows organizations to deploy, fine-tune, and manage Large Language Models (LLMs) across private clouds or secure decentralized hardware. By 2026, Helix has positioned itself as the leading alternative to closed-source API providers like OpenAI and Anthropic, catering to regulated industries such as finance and healthcare where data privacy is non-negotiable. The technical architecture leverages Kubernetes-native scaling and specialized 'Cold-Start' optimization techniques, enabling serverless-style GPU consumption that reduces idle hardware costs by up to 60%. With integrated support for LoRA adapters and quantization-aware training, Helix facilitates the transition from general-purpose models to domain-specific experts. Its market position is defined by the 'Sovereign AI' movement, providing a robust middle layer between raw hardware and application development, ensuring that proprietary data never leaves the organization's controlled environment while maintaining the performance of top-tier cloud providers.
Core Capabilities
Helix (Helix.
