Intel + Iterate.ai

Accelerating Private LLMs & Edge AI Deployments

Together, Intel and Iterate.ai are redefining AI deployment for the enterprise—optimizing Large Language Models (LLMs) and GenAI solutions to run efficiently on Intel CPU architectures.

By leveraging Intel’s OpenVINO™ toolkit and high-performance processors, Iterate.ai is making private, on-prem AI more accessible, scalable, and 
cost-effective.

About Intel

Intel is a global leader in CPU architectures and edge computing solutions, delivering powerful hardware platforms designed to accelerate AI workloads from the data center to the edge.

The Partnership Story

The Challenge

Enterprise organizations—especially in industries like QSR, banking, and retail—need scalable, affordable, and privacy-first LLM solutions that can run on existing infrastructure, without the high costs or supply constraints of GPUs.

The Solution

Iterate.ai optimized its private LLM deployments and agentic AI workflows using Intel’s OpenVINO toolkit and Intel® Xeon® processors.
The partnership delivers:
  • Seamless optimization of popular training frameworks
  • Accelerated inference and response rates
  • Fully on-premise and edge deployment capabilities
  • 4x lower running costs compared to GPU-based deployments
  • Faster experimentation and time-to-value

Deployment in Action: Interplay Platform + Intel

Interplay, Iterate.ai’s low-code Agentic AI platform, leverages Intel hardware and OpenVINO across multiple AI use cases:

Interplay Drive-Thru Automation

  • Full speech recognition
  • Trainable menu knowledge
  • Fine-tuned LLM (Llama-2-7b-chat)
  • Deployed on Intel Xeon Sapphire Rapids
  • Delivers real-time accuracy and customer responsiveness at the edge

License Plate Recognition

  • Uses OpenVINO-optimized PyTorch and YOLOv8 for video processing and detection
  • Sets new standards in speed and accuracy for security and customer tracking

Edge Deployments at Scale

  • 4,000+ instances deployed across Intel i7 and i9 CPUs
  • Target customers: QSRs, banks, convenience retailers, and drive-thru operators
  • Deployed on Intel Xeon Sapphire Rapids

Real-World Efficiency Gains

Significant CPU efficiency improvement at every load level after OpenVINO optimization.

Total Requests (Parallel)

CPU Usage Before OpenVINO (%)

CPU Usage After OpenVINO (%)

10
84.1
75.0
20
134.2
81.0
30
232.0
89.0
40
253.0
91.0
50
294.0
96.0
60
369.3
103.0

The Impact

By eliminating the GPU requirement for many edge AI workloads, Iterate.ai and Intel enable enterprises to scale faster, reduce infrastructure costs, and deploy AI-driven solutions in environments where GPU availability was previously a bottleneck.

What’s Next

Iterate.ai will continue expanding its AI edge capabilities with Intel, exploring deeper optimizations for multimodal AI and next-generation LLM deployments.