Overview

AI workloads vary widely in complexity. Some run best on-device for speed and privacy, while others require cloud-scale compute. Hybrid FM deployment allows organizations to run optimized foundation models wherever they perform best—balancing speed, cost, compliance, and flexibility.

Key Capabilities

·Dynamic Model Placement

Routes tasks to on-device, edge, or cloud models automatically

Minimizes latency for time-critical processing

Uses cloud-scale models for complex reasoning or generation

·Optimized Resource Utilization

Allocates compute based on workload size and model needs

Reduces cost by shifting workloads off expensive cloud infrastructure

Ensures continuity even when connectivity changes

·Secure, Private FM Execution

Supports enterprise-controlled FM deployment

Keeps sensitive data local when necessary

Enables compliance with regulated data environments

What This Means for You

Businesses achieve high-performance AI at lower operational cost, with the ability to deploy models flexibly across their global footprint—improving speed and reliability.

The Value We Deliver

LATC builds the model orchestration engine and hybrid runtime layer that enable FMs to scale efficiently across Lenovo’s devices, edge servers, and cloud partners.