Universal module loading
Dynamic manifests describe tensors, byte ranges, dtypes, shapes, and groups without hardcoding model names or block counts.
PrimeUI is coming soon
Primageddon
We are building a local AI creation engine that makes advanced image workflows practical on real-world hardware. Our goal is simple: run any compatible module at the maximum speed possible for the GPU memory available.
16 GB VRAM
generation proven
38 sec
measured image run
Any module
adaptive to the VRAM limit
What we are creating
Fast local GenAI workflows for every GPU memory size.
PrimeUI is being designed to run large AI modules with controlled VRAM usage instead of forcing one fixed hardware profile. The runtime can choose staged, low-memory, and ultra-low-memory paths while keeping model movement explicit and measurable.
Memory-aware execution
Production profiles target speed, balanced memory, or emergency-fit operation for GPUs with limited VRAM.
Fast bounded streaming
Chunk catalogs, reusable slots, and adaptive prefetching reduce repeated loading while honoring a user-defined VRAM cap.
On-prem productization
Built around .NET, IIS, local GPU runtimes, and secure API delivery so organizations can keep AI assets under control.
Built by
Asaad Nabil Alsharif
AI and Data Engineering Lead in Abu Dhabi with 15+ years across government, finance, data platforms, .NET systems, IIS hosting, enterprise integration, and on-prem GenAI productization.
SQL Server, Azure Data Factory, PySpark, and Power BI platforms
ASP.NET Core APIs, access control, and subscription/entitlement logic
Local LLM and GenAI workflow orchestration with GPU optimization
GovTech and FinTech delivery across UAE enterprise environments
Join us
We are looking for collaborators, strategic partners, and investors.
If you want to support a UAE-built local AI product focused on speed, memory control, and practical deployment, contact Asaad directly.