Uploaded November 2025 | Updated September 2026, 2 weeks ago
This webinar explains the process of model inferencing and deployment options. We discuss how trained models are used to make predictions and the considerations for deploying models. Attendees will understand the challenges and strategies for optimizing model performance, covering:
• What is model inferencing
• Model inferencing process
• How inferencing deployment differs in Gen AI and visual inspection
- Inferencing deployment software options
- Inferencing hardware considerations (e.g., on the edge, on-prem, etc.)
• Deploying AI models for production best practices and lessons learned
• Strategies for maintaining model performance post-deployment
Presente by Luis Freeman, IBM; Kevin Marks, Dell Technologies; Erik Smith, Dell Technologies
Read the AI Model Inferencing Q&A blog: snia.org/blog/2025/ai-model-inferencing-qa
Learn More:
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia
This webinar explains the process of model inferencing and deployment options. We discuss how trained models are used to make predictions and the considerations for deploying models. Attendees will understand the challenges and strategies for optimizing model performance, covering:
• What is model inferencing
• Model inferencing process
• How inferencing deployment differs in Gen AI and visual inspection
- Inferencing deployment software options
- Inferencing hardware considerations (e.g., on the edge, on-prem, etc.)
• Deploying AI models for production best practices and lessons learned
• Strategies for maintaining model performance post-deployment
Presente by Luis Freeman, IBM; Kevin Marks, Dell Technologies; Erik Smith, Dell Technologies
Read the AI Model Inferencing Q&A blog: snia.org/blog/2025/ai-model-inferencing-qa
Learn More:
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia










