GMI Dedicated Endpoints: Elastic, High-Throughput AI at Scale
What this is
Join GMI Cloud for a live demo of Dedicated Endpoints, built for teams running high-throughput, production-grade AI workloads.
Dedicated endpoints provide fully customizable inference environments with dedicated GPU resources, predictable performance, and enterprise-grade isolation—ideal for scaling AI applications without the instability of shared infrastructure.
In this session, we’ll show how teams deploy and scale models using GMI’s inference engine to achieve consistent latency, reliable throughput, and flexible deployment configurations.
What you’ll see
A hands-on walkthrough of deploying and running AI models with dedicated infrastructure:
• Launch dedicated inference endpoints optimized for performance
• Deploy custom or fine-tuned models in production environments
• Configure GPU resources and scaling policies for high-demand workloads
• Run AI applications with predictable throughput and low latency
Dedicated endpoints give teams full control over model deployment and infrastructure configuration, enabling stable performance for enterprise AI systems.
Real-world use cases
Learn how teams are using dedicated endpoints to power:
• High-traffic LLM and AI agent applications
• Multimodal workloads across text, image, video, and audio models
• Production AI platforms requiring consistent performance and reliability
• Custom model deployments with secure, isolated environments
Who should attend
This session is designed for:
• ML engineers running production inference workloads
• Platform teams scaling AI infrastructure
• Startups building high-traffic AI applications
• Enterprises deploying custom or fine-tuned models
If you're running AI in production and need stable performance at scale, this demo is for you.
Why attend
Stop by to:
• See Dedicated Endpoints in action
• Learn how teams achieve predictable AI performance at scale
• Explore custom model deployment workflows
• Meet the GMI Cloud team at GTC
⚡ Reserve your spot and join us at Booth #142.