Seventy-eight percent of enterprises are running an AI pilot. Only 14% have scaled one to production. The reason is rarely the model. It is a selection process that treats a leaderboard score as a deployment decision.
This white paper lays out the variables that actually determine whether a small language model performs on your hardware, including quantization recipe, execution mode, KV cache budget, and concurrency behavior under real workload conditions. It also walks through the production-grade selection process that surfaces them, before a single fine-tuning run starts.
Download the paper to see the data behind partial quantization, throughput sweeps on constrained GPUs, and the questions to ask before choosing a model.
Manufacturers are under pressure to increase output, accelerate launches, and improve sustainability all at once. Yet traditional commissioning and physical testing remain costly, slow, and disruptive. Simulation, virtual commissioning, and digital twins offer a better way. In this whitepaper, you’ll see how manufacturers use high-fidelity simulation and real-time digital replicas to design, test, and refine production systems before changes reach the shop floor. Discover how a connected digital thread across engineering, automation, and operations enables faster launches, higher OEE, and more resilient factories.
