About Blade
Built for AI.
Proven in the cloud.
Blade is Shadow’s AI infrastructure brand. We bring ten years of cloud GPU experience to developers building with AI, so you can take your application further without taking on the infrastructure behind it.
The experience behind Blade
Ten years of cloud.
Built into Blade.
For a decade, Shadow has made GPU computing accessible through the cloud. Running that infrastructure at scale means working through the challenges that matter in production: provisioning capacity, keeping services running and responding when demand changes.
Blade builds on that experience to make AI infrastructure accessible from your code. Behind the API and the SDK is the cloud expertise developed at Shadow, applied to the workloads you want to run today.
- Years of cloud experience
- 10
- Instances per year
- 16M
- GPUs in the fleet
- 12,000+
These figures describe Shadow’s cloud operations, the experience behind Blade.
What that means for your team
Focus on your product.
We handle the compute.
A developer should be able to turn an idea into a working AI feature without first building an infrastructure team. We make models and GPU compute available through familiar APIs and Python workflows, while we manage the infrastructure underneath.
That gives your team more time to test, ship and improve what users actually need. Whether you are adding a model to an existing application or running your own workload, the starting point is your code.
Explore the documentationBuild with Blade
Your application.
The compute it needs.
Models
Bring open-weight models into your application through an OpenAI-compatible API. Keep a familiar workflow and let us run the inference infrastructure.
Explore ModelsAI Fabric
Run your own models and Python workloads on managed GPU infrastructure. Access is opening gradually; join the waitlist to hear when you can start.
Join the AI Fabric waitlist