“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAIntermediate
Deploying a Model for Inference at Production Scale
This NVIDIA DLI course teaches teams how to deploy machine learning models on a GPU server using NVIDIA Triton Inference Server. It is especially useful for organizations that have moved beyond experimentation and need serving capability.
Duration
4 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Inference at ScaleINF
Production serving on GPU infrastructure
NVIDIA Triton
TRITON
On this page
Ideal for
ML EngineerDeep LearningTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for practitioners who already train models and now need deployment and inference capability on GPU-based serving infrastructure.
Overview
Executive overview
Official NVIDIA DLI program focused on deploying machine learning models to GPU servers with NVIDIA Triton Inference Server.
Readiness
Prerequisites
- Familiarity with at least one machine learning framework such as PyTorch, TensorFlow, ONNX, or TensorRT.
Program Outcomes
Capabilities your teams will gain
Deploy models to GPU-backed inference environments
Understand serving patterns with NVIDIA Triton
Improve readiness for production-scale inference workloads
Strengthen deployment capability for operational AI systems
Curriculum
Curriculum roadmap
1
Inference deployment foundations
2
Serving models with Triton
3
GPU-backed deployment workflows
4
Production inference considerations
1Module 1
Build the foundation for production inference
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Module 1
Build the foundation for production inference
Understand the core deployment patterns and operational considerations involved in moving trained models into production inference environments.
- Inference deployment foundations
- GPU-backed deployment workflows
2Module 2
Serve and manage models with Triton
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Module 2
Serve and manage models with Triton
Use NVIDIA Triton to expose models for inference while improving deployment readiness and scalability for AI applications.
- Serving models with Triton
- Production inference considerations
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Supports production AI readiness by helping teams move beyond training into scalable model deployment and inference operations.
- •Align the workshop to your primary model framework
- •Add serving architecture and observability guidance
- •Extend into performance optimization and enterprise rollout planning
Credentials
Certification & official source
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
