Molecular Data
Local storage and processing support UDD's growing molecular data resources and rapid access to chemical information for discovery research.
UDD COMPUTATIONAL INFRASTRUCTURE
CURRENT GENERATION · RAWAN 1
Rawan 1
UDD's current locally maintained high-performance computing and data environment, supporting molecular discovery research from large-scale molecular data and artificial intelligence to computational chemistry and scientific modeling.
150+ CPUsCurrent compute capacity
150+ TBLocal storage
1× GB10NVIDIA Grace Blackwell GPU
Fast NetworkWith dedicated backup servers
PURPOSE-BUILT FOR DISCOVERY
Computational infrastructure behind the science.
Rawan provides UDD with direct control over core computational resources and scientific data. The environment is designed around the demanding workloads of modern molecular discovery while remaining expandable as research programs and computational requirements grow.
Artificial Intelligence
Dedicated AI capability supports molecular machine learning, graph-based models, inference and development of computational discovery systems.
Scientific Computing
CPU and accelerated computing resources support molecular modeling, computational chemistry, data processing and other research-intensive calculations.
COMPUTE · DATA · RESEARCH
One environment for connected discovery.
Rather than treating data, AI and scientific computation as isolated systems, Rawan is being developed as a connected research environment supporting UDD's broader therapeutic-discovery platform.
DATA LAYER
Molecular resources
Large scientific datasets, molecular libraries, research outputs and working data maintained under direct UDD control.
COMPUTE LAYER
CPU & accelerated computing
Resources for computationally intensive molecular research, data preparation, modeling and scientific calculations.
AI LAYER
Machine intelligence
Local AI infrastructure supporting model development, molecular inference and scalable intelligent analysis.
Rawan is supporting infrastructure—not the scientific product itself. Its role is to give UDD a controlled computational foundation for developing and applying its molecular-discovery capabilities.
DESIGNED TO GROW
Infrastructure that evolves with UDD.
Rawan is being expanded alongside UDD's research portfolio. The architecture is intended to accommodate increasing molecular data, more demanding AI workloads and broader computational studies without exposing proprietary discovery methods or internal workflows.
Local Control
Core data and computation can remain within UDD's own research environment, supporting direct management of scientific resources.
Scalable Research
The infrastructure supports movement from focused studies toward larger molecular campaigns as programs mature.
Hybrid Capability
Local resources provide a persistent computational foundation while allowing external high-performance resources to complement workloads when appropriate.
RAWAN ROADMAP
From an in-house research cluster to data-center-scale science.
Rawan is designed as a staged infrastructure program. Each generation expands compute, accelerated AI and local scientific data capacity as UDD's discovery portfolio grows.
01CURRENT SYSTEM
Rawan 1
Independent discovery infrastructure
150+CPUs150+ TBStorage1 GPUNVIDIA GB10 Grace Blackwell
Fast local networking, dedicated backup servers, molecular-data storage, CPU scientific computing and local accelerated AI capability.
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02NEXT EXPANSION
Rawan 2
Expanded discovery cluster
300+CPUs500 TBStorage4 GPUsAccelerated compute
A larger shared computational environment for parallel scientific workloads, molecular data growth and more demanding AI research.
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03LONG-TERM VISION
Rawan 3
Data-center-scale infrastructure
10,000+CPUs10 PBStorage target48 GPUsAccelerated compute
UDD's long-term infrastructure vision: data-center-scale computing for high-throughput molecular discovery, AI and large scientific data programs.
Rawan 2 and Rawan 3 are planned capacity targets, not currently installed infrastructure.
UDD CLOUD COST SAVINGS
Estimated monthly and yearly savings.
CPU Compute≈ $43,800 / month≈ $525,600 / year
150 TB Storage≈ $3,350 / month≈ $40,200 / year
Estimated UDD Savings≈ $47,150 / month≈ $565,800 / year · CPU + storage