Traditional serving setups require minutes to swap model weights or require keeping dedicated clusters idle. AlphaDeep uses our open-source Blinx Kernel, a JAX-native adapter router. The base model remains resident in memory while custom LoRA adapters hot-swap in microseconds with zero cold-starts, reducing compute expenditure up to 10x.

AlphaDeep operates on a straightforward compute-usage model. You are billed per inference request generated by your deployed model, without upfront hardware provisioning fees. Invoicing and payment processing are managed securely via Stripe.

The platform is in active Beta with focused support for vision and multimodal tasks including object detection, image segmentation, image classification, OCR, and document captioning. Developer workspaces are accessible at agent.alphadeep.ai.

Yes. AlphaDeep is a Delaware corporation (AlphaDeep Inc.). We are supported by the NVIDIA Inception program, with founding engineers and researchers spanning academic institutions and enterprise software.