# LLM Hardware Integrations

Integrated LLM hardware with popular GenAI frameworks to accelerate developer adoption.

## Key Takeaways:

#### Hardware adoption required developer accessibility

Performance advantages were difficult to surface without familiar tooling.

#### We integrated with the GenAI ecosystem

Native integrations were built across popular frameworks to meet developers where they work.

#### Open-source framework integrations

APIs and packages were contributed to LangChain and related frameworks, enabling seamless LLM execution on optimized hardware.

#### 50K+ monthly package downloads

Deep ecosystem integration drove strong developer adoption.

### Continue Reading

### [Governed Metrics for AI](/content/case-studies/semantic-layer-enterprise-metrics/index.html)

Single logic across every interface

### [Compliance Reporting](/content/case-studies/compliance-reporting/index.html)

Reporting automated

### [Audience Segmentation](/content/case-studies/audience-segmentation/index.html)

Targeting efficiency improved.