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SPECIFICTION
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Radiant AI Cloud Model Registry

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Spec score 6.7 #23 of 36 in Model Registry Software

Spec sheet

Purpose
Radiant AI Cloud’s Model Registry is a centralized repository for managing, versioning, and preparing custom AI models for deployment.Read 4 Oct 2026 · docs.ori.co
Security
The maker’s documentation describes an optional MFA setting that prompts users for an authenticator-app code after login.Read 4 Oct 2026 · docs.ori.co
Compliance
Radiant Infrastructure Ltd says it undergoes annual ISO 27001, SOC 2, and HIPAA audits; its listed public-cloud data centers are marked SOC 2 or SOC 2/ISO 27001.Read 4 Oct 2026 · docs.ori.co
Support
RAIC support resources include documentation, community discussions, a platform status page, and a support case portal.Read 4 Oct 2026 · docs.ori.co
Dataset support
The fine-tuning guide supports publicly available Hugging Face datasets and custom datasets in .jsonl or .csv format with prompt and completion columns.Read 4 Oct 2026 · docs.ori.co
Fine-tuning integration
Completed fine-tuning jobs automatically create a registry model, populate it with checkpoint versions, and make those versions available for deployment.Read 4 Oct 2026 · docs.ori.co
Fine-tuning methods
RAIC uses Low-Rank Adaptation (LoRA) for fine-tuning and enables FlashAttention-2 during training.Read 4 Oct 2026 · docs.ori.co
GPU selection
When creating a model, users can select multiple preferred GPU types so the platform can match it to compatible GPUs available in the registry location.Read 4 Oct 2026 · docs.ori.co
Model uploads
Users can upload model weights through the RAIC CLI.Read 4 Oct 2026 · docs.ori.co
Registries
Every new organization starts with a default registry, and users can create additional registries and choose where model weights are stored.Read 4 Oct 2026 · docs.ori.co
Supported files
Supported upload file types include .safetensors, .json, .md, .txt, .py, .gitattributes, .yml, and LICENSE.Read 4 Oct 2026 · docs.ori.co
Version status
After upload, a model version progresses through Uploaded and Synchronizing to Available, at which point it is ready for deployment to Endpoints.Read 4 Oct 2026 · docs.ori.co

Where Specifiction places it

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