---
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标题: "Playlist | Scaling AI Inference With NVIDIA Conference Sessions"
原文链接: "https://www.nvidia.com/gtc/sessions/scaling-ai-inference-with-nvidia/"
发布日期: "2026-08-12"
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---

Title: Playlist | Scaling AI Inference With NVIDIA Conference Sessions

URL Source: https://www.nvidia.com/gtc/sessions/scaling-ai-inference-with-nvidia/

Published Time: Wed, 12 Aug 2026 16:14:39 GMT

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## Scaling AI Inference With NVIDIA Conference Sessions

16 sessions

[36:53 ![Image 1: How Perplexity AI Scales Real-Time Search With Breakthrough Mixture-of-Experts Performance](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_q9xm5rw2/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81701?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[How Perplexity AI Scales Real-Time Search With Breakthrough Mixture-of-Experts Performance](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81701?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Kevin Hu, Inference Lead, Perplexity AI

Shruti Koparkar, Sr. Manager, Product Marketing, NVIDIA

Scaling mixture-of-experts (MoE) models in production while delivering high performance is challenging. This session explores how the NVIDIA Blackwell NVL72 makes MoE scaling practical and efficient with full stack innovation across…

[39:18 ![Image 2: Maximize LLM Throughput and Improve GPU Efficiency](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_ul48zg1i/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82225?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Maximize LLM Throughput and Improve GPU Efficiency](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82225?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Bharat Venkitesh, Staff Research Engineer (Inference Lead), Cohere

Dwarak Talupuru, Staff Research Engineer (Training Lead), Cohere

This session focuses on practical and system-level techniques to increase large language model throughput while reducing GPU cost and waste. It covers both training and inference optimization, with an emphasis on real-world bottlenecks…

[39:28 ![Image 3: AI Performance and Inference Economics for Engineers](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_gzkobweb/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81996?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[AI Performance and Inference Economics for Engineers](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81996?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Farshad Ghodsian, Sr. Technical Marketing Engineer, NVIDIA

Eduardo Alvarez, Technical Marketing Engineer, NVIDIA

This technical deep dive analyzes the cost drivers for AI systems, focusing on the interdependent relationship between total cost of ownership (TCO) and performance. We will show how the influence of extreme co-design, spanning…

[32:45 ![Image 4: Under the Hood of Building and Scaling AI-Native Applications (Presented by Together AI)](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_agjg2s5i/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82344?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Under the Hood of Building and Scaling AI-Native Applications (Presented by Together AI)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82344?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Charles Zedlewski, Chief Product Officer, Together AI

Alan Yiu, VP, Product, Decagon

Building AI-native applications is fundamentally different from traditional software—and scaling them demands infrastructure designed for models, not just compute. Decagon builds AI agents for enterprise customer support across voice, chat, and…

[39:46 ![Image 5: Scale Foundation Models With Google Cloud AI Hypercomputer (Presented by Google Cloud)](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_a9xfo8as/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82243?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Scale Foundation Models With Google Cloud AI Hypercomputer (Presented by Google Cloud)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82243?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Miguel Holguin, Product Manager, Google

Pramod Ramarao, Sr Product Manager , Google Cloud

As AI models evolve from billions to trillions of parameters, the infrastructure requirements have shifted from simple compute to complex, vertically integrated systems. In this session, Google Cloud product leaders will unveil the latest…

[14:03 ![Image 6: High-Performance Inference for Frontier AI Models (Presented by Baseten)](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_1x9gajji/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-ex82108?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Theater Talk

[High-Performance Inference for Frontier AI Models (Presented by Baseten)](https://www.nvidia.com/en-us/on-demand/session/gtc26-ex82108?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Philip Kiely, Head of Developer Relations, Baseten

How do you go from a state-of-the-art foundation model to a globally available usage-based API? This session provides an overview of the roadmap and architecture from model performance optimization to multi-region GPU-based…

[](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81934?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Connect With the Experts

[Best Practices for Accelerating LLM and VLM Inference With SGLang](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81934?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Kaixi Hou, Engineer, Deep Learning Frameworks, NVIDIA

Ian Wang, Sr. Engineer, NVIDIA

Meenakshi Venkataraman, Senior Deep Learning Software Engineer, NVIDIA

Serge Panev, Senior Deep Learning Engineer, NVIDIA

Trevor Morris, Sr. Deep Learning Software Engineer, NVIDIA

Yangmin Li, Senior System Software Engineer, NVIDIA

Join this interactive session to ask questions and deepen your understanding of serving LLMs (and vision language models, VLMs) with SGLang. Our experts are offering one-on-one guidance on efficiently deploying models with SGLang,…

[38:28 ![Image 7: Deploy Reliable Agents at Scale With Reinforcement Learning and High-Performance Inference (Presented by CoreWeave)](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_nh4511ue/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82201?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Deploy Reliable Agents at Scale With Reinforcement Learning and High-Performance…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82201?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Aaron Batilo, Principal Engineer, AI/ML, CoreWeave

Kyle Corbitt, Director, Engineering, CoreWeave

Reinforcement learning (RL) is essential for developing reliable and autonomous agents that learn from experience, delivering enhanced accuracy and cost efficiency. In this deep dive session, learn how to use the technical architecture of CoreWeave’…

[](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81461?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Connect With the Experts

[Distributed Inference at Scale Using Dynamo](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81461?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Biswa Ranjan Panda, Senior Software Engineer, NVIDIA

Amr Elmeleegy, Product Marketing Manager, NVIDIA

Anish Maddipoti, Product Manager, NVIDIA

Akshatha Kamath, Product Manager, NVIDIA

Graham King, NVIDIA

Kris Hung, Senior System Software Engineer, NVIDIA

Hongkuan Zhou, Deep learning algorithm engineer, NVIDIA

Ishan Dhanani, Deep Learning Algorithms Engineer, NVIDIA

Olga Andreeva, Senior Software Engineer, NVIDIA

Neelay Shah, Principal Software Architect, NVIDIA

Rudy Pei, Senior Deep Learning Algorithm Engineer, NVIDIA

Qi Wang (Dynamo), Senior Software Engineer, NVIDIA

Tanmay Verma, Senior System Software Engineer, NVIDIA

Thomas Montfort, Senior Engineer Dynamo (Kubernetes), NVIDIA

Vikram Sharma Mailthody, Sr. Research Scientist, NVIDIA

NVIDIA Dynamo is a distributed inference serving framework built to run LLMs efficiently, reliably, and at massive scale. It helps AI providers reduce cost-per-token, meet strict service level objectives, and scale deployments using Kubernetes…

[41:27 ![Image 8: Holistic Model Co-Design: Close the Loop With Software and Hardware for Inference Efficiency](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_qmxb2lce/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82154?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Holistic Model Co-Design: Close the Loop With Software and Hardware for Inference Efficiency](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82154?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Ritchie Zhao, Senior Researcher , NVIDIA

The economics of inference are changing faster than ever, with the cost of serving frontier models growing at an unprecedented rate. To continue advancing intelligence per unit cost, we must look beyond isolated optimizations and adopt a…

[](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81679?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Connect With the Experts

[Turbocharge Your LLM Inference: Expert Strategies for Lightning-Fast, Scalable AI Deployment](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes81679?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Haohang Huang, Sr. AI DevTech Engineer, NVIDIA

Julien Debache, AI Developer Technology Engineer, NVIDIA

Martin Marciniszyn Mehringer, Sr. AI Developer Technology Manager, NVIDIA

Robin Kobus, Developer Technology Engineer, NVIDIA

Rohan Varma, AI DevTech Engineer, NVIDIA

Explore cutting-edge methods for accelerating large language model (LLM) inference with NVIDIA technologies. This interactive session dives into deploying and scaling models using TensorRT-LLM with PyTorch integration, alongside modern…

[38:33 ![Image 9: Build a Software-Defined Multi-Tenant NVLinked Cluster](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_ey4anhjw/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81640?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Build a Software-Defined Multi-Tenant NVLinked Cluster](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81640?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Adam Tetelman, Sr. Manager, DGX Product Architecture, NVIDIA

Alex Saroyan, CEO and Co-Founder, Netris

Lukas Gentele, CEO & Co-Founder, vCluster Labs

AI workloads are scaling into full production for training and inference. Standing up these clusters for R&D is challenging on its own, but production brings complexity: stricter security requirements, operational rigor, and a broader user base…

[39:38 ![Image 10: Reinforcement Learning at Scale: Engineering the Next Generation of Intelligence](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_xvikcnba/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82182?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Panel

[Reinforcement Learning at Scale: Engineering the Next Generation of Intelligence](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82182?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Jerry Tworek, CEO, Stealth startup

Linden Li, Co-Founder and Chief Architect, Applied Compute

William Fedus, Co-Founder, Periodic Labs

Vartika Singh, Strategic AI Lead, NVIDIA

Yuchen He, Co-Founder, Humans&

Reinforcement learning (RL) is entering a new phase—one defined as much by systems engineering as by algorithmic innovation. In this panel, we convene industry leading experts to discuss current challenges in scaling RL along with emerging RL…

[](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes82007?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Connect With the Experts

[Best Practices for Accelerating LLM and VLM Inference With vLLM](https://www.nvidia.com/en-us/on-demand/session/gtc26-cwes82007?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Alec Flowers, Sr. Deep Learning Algorithms Engineer, NVIDIA

Duncan Moss, Senior Developer Technology Engineer, NVIDIA

Shang Wang, Manager, AI Systems Software, NVIDIA

Siyuan Fu, AI Developer Technology Engineer, NVIDIA

Pavani Majety, Sr. Deep Learning Engineer, Inference, NVIDIA

Xin Li, Engineering Manager, NVIDIA

Meet with the experts at NVIDIA to learn how to accelerate vLLM inference performance on NVIDIA GPUs. Our experts at NVIDIA help make vLLM more performance and scalable. We cover a diversity of workloads running from DGX…

[45:32 ![Image 11: Diffusion Unlocked: Advanced Techniques for Training, Inference, and Deployment](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_lpcqynr2/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81684?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Panel

[Diffusion Unlocked: Advanced Techniques for Training, Inference, and Deployment](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81684?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Cynthia Lu, Senior Director of Engineering, Adobe

Anastasis Germanidis, CTO and Co-Founder, Runway

Ming-Yu Liu, VP Generative AI Research, NVIDIA

Stefano Ermon, CEO, Inception Labs

Robin Rombach, Co-Founder and CEO, Black Forest Labs

Diffusion models have exploded from research labs into the mainstream, powering everything from photorealistic image generation to creative co-pilots. But moving these models from a notebook to a scalable, low-latency, production-ready service…

[29:38 ![Image 12: Engineering Real-World LLM Inference: Bridging Open-Source and Production Systems](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_o5umsfks/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82026?playlistId=gtc26-scaling-ai-inference-with-nvidia)

Talk

[Engineering Real-World LLM Inference: Bridging Open-Source and Production Systems](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82026?playlistId=gtc26-scaling-ai-inference-with-nvidia)

March 2026

Yineng Zhang, Senior Director, Together AI

In production, LLM inference performance is shaped by model architecture, hardware, workload patterns, and service-level agreement constraints. This session presents a practical workflow for profiling inference stacks, identifying real…

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