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# Sterling Federal SI Gaudi 3 Case Study

> How Sterling processed 500,000 pages in 8.5 hours on Intel Gaudi 3 for federal operations.

Case Study

# Sterling Federal SI: Gaudi 3 Reference Architecture

"500,000 pages processed in 8.5 hours -- 48x faster than Xeon."

How Sterling deployed Blockify on Intel Gaudi 3 to create a reference architecture
for federal AI operations with classification marking preservation.

500K

Pages in 8.5 Hours

48X

Faster vs Xeon

17.8M

Pages/Month

78X

Accuracy Improvement

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## Federal AI Challenges

Sterling needed to demonstrate enterprise-scale AI processing for classified
environments where data governance, classification markings, and air-gapped operation
are non-negotiable.

Blockify on Intel Gaudi 3 accelerators transformed millions of pages into AI-optimized
knowledge bases with full RBAC and classification marking preservation (SECRET, TS/SCI, NATO).

## Implementation Areas

#### Data Processing

- 500K pages in 8.5 hours
- Classification marking preservation
- RBAC integration
- Multi-format ingestion

#### Security

- SECRET/TS/SCI support
- NATO-restricted content
- 100% on-premise
- Red Hat OpenShift AI

## Gaudi 3 Performance

500,000 pages were processed in 8.5 hours on Gaudi 3 -- a 48x throughput improvement
versus Xeon, which would have taken 17+ days for the same workload.

## Key Outcomes

- Throughput: 48x throughput improvement vs Xeon
- Scale: 17.8 million pages/month on single Gaudi 3 core
- Classification: Classification markings preserved throughout AI pipeline
- Accuracy: 78x accuracy improvement for intelligence analysis

Free Case Study

## Download the Full Sterling Federal SI Case Study

Get complete details on Gaudi 3 reference architecture for federal AI.

- 500K pages in 8.5 hours
- 48x faster than Xeon
- Classification marking preservation
- SECRET/TS/SCI/NATO support
- Red Hat OpenShift AI deployment

Case Study
12 min read
678 KB

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## Enterprise AI for Federal Operations

See how Blockify on Gaudi 3 can transform your operations.

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*Source: [https://iternal.ai/case-studies/sterling-federal-systems-integrator](https://iternal.ai/case-studies/sterling-federal-systems-integrator)*

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