GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
Supascale
$20/moStarting price
0Popularity
About Supascale
Supascale provides a unified API and private network for accessing and deploying AI models across text, vision, image, video, audio, and speech modalities. The platform supports both frontier and open-source models, allowing organizations to deploy any model with zero maintenance or integrate their own GPUs into a global AI demand network. Users can list idle GPUs to earn passive income while maintaining end-to-end encryption and compliance with SOC 2, ISO 27001, and GDPR standards. The system offers a single API endpoint for managing private compute pools, with smart workload orchestration routing requests to the best available GPU. Organizations can scale by adding hosts on demand, while GPU owners can list hardware across Nvidia, AMD, or Apple Silicon platforms. The platform includes a free tier for small teams and paid plans for scaling engineering and AI teams, with enterprise options for dedicated clusters and custom SLAs.
Key features
- Unified API for accessing frontier and open-source models
- Private network for on-prem or hybrid GPU clusters
- Smart workload orchestration and load balancing
- End-to-end encryption (TLS/HTTPS and AES-256)
- Role-based access control and centralized host management
- SOC 2 Type II, ISO 27001, and GDPR compliant infrastructure
- GPU monetization with passive income potential
- Cross-platform support for Nvidia, AMD, and Apple Silicon
Use cases
- Deploying AI models with zero maintenance overhead
- Monetizing idle GPU resources through a global network
- Building private, encrypted AI compute clusters for organizations
Pros
- Supports 1,000+ AI models across 6 modalities
- Offers unified API and SDK for model access and deployment
- Enables monetization of idle GPUs through a global demand network
- Provides end-to-end encryption and compliance certifications
- Includes free tier for small teams and scalable paid plans
Cons
- Currently in waitlist phase for private network access
- Limited to Windows and macOS for GPU listing (Linux coming soon)
- Enterprise features require custom pricing and contact
Frequently asked questions about Supascale
What is Supascale and what does it do?
Supascale provides a unified API and private network for accessing and deploying AI models across text, vision, image, video, audio, and speech modalities. It supports both frontier and open-source models, allowing organizations to deploy any model with zero maintenance or integrate their own GPUs into a global AI demand network.
Who is Supascale designed for?
Supascale is designed for organizations looking to deploy AI models efficiently, as well as GPU owners who want to monetize idle hardware. It suits engineering and AI teams, small labs, and enterprises requiring secure, scalable AI compute solutions.
How does Supascale handle security and compliance?
Supascale ensures end-to-end encryption for data in transit and at rest, and its infrastructure is certified for SOC 2 Type II, ISO 27001, and GDPR compliance. It operates on a zero-trust private networking model to protect user data and hardware.
Can I integrate my own GPUs with Supascale?
Yes, Supascale allows organizations to integrate their own GPUs into a private AI network, enabling centralized management and smart workload orchestration via a single API endpoint.
What pricing models does Supascale offer?
Supascale offers a free tier for small teams, a scale plan for engineering and AI teams, and enterprise plans with custom SLAs and dedicated clusters. Pricing varies based on user count, bandwidth, and support requirements.
How do I get started with Supascale?
To get started, users can download the software, list their GPU (if they own one), or explore and deploy AI models via the unified API. Organizations can also set up a private network by adding hosts on demand.
