Phi Nguyen
Employers on the program
- 2019–2025Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
- PyTorch Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Next-gen AI: Scaling distributed GPU inference with NVIDIA on AWS as AWS Discover how to achieve massive inference scaling through GPU disaggregation on AWS. Learn architectural patterns for splitting model inference across multiple…Show lessDiscover how to achieve massive inference scaling through GPU disaggregation on AWS. Learn architectural patterns for splitting model inference across multiple NVIDIA GPUs, delivering significantly higher throughput for AI workloads. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | vLLM on AWS: testing to production and everything in between as AWS This session explores practical architectural patterns for deploying and scaling large language models (LLMs) in production environments. | Video |
| Oct 22, 2025 | PyTorch Conference 2025 | PyTorch Conference | speaker | Sponsored Session: Accelerating GenAI Inference: From AWS Deep Learning Containers to Scaling Amazon Rufus on Trainium as AWS The rapid evolution of LLMs and reasoning models demands an equally sophisticated infrastructure stack. In this technical deep dive, we'll explore how AWS's…Show lessThe rapid evolution of LLMs and reasoning models demands an equally sophisticated infrastructure stack. In this technical deep dive, we'll explore how AWS's comprehensive infrastructure building blocks—spanning compute, networking, and storage—empower open-source innovation and enable... | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | builders session | [REPEAT 1] Identifying product mentions in customer reviews using ML as Amazon Web Services In recent years, we have seen the ascent of conversational AI, the rise of chatbots, and an exhaustive amount of data from customer calls, emails, and Tweets.…Show lessIn recent years, we have seen the ascent of conversational AI, the rise of chatbots, and an exhaustive amount of data from customer calls, emails, and Tweets. Natural language processing (NLP) is at the core of all of these innovations. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ahmed Bebars | 2 | — | 2025 |
| Alan Halachmi | 2 | — | 2025 |
| Alex DeBrie | 2 | — | 2025 |
| Ali Saidi | 2 | — | 2025 |
| Amit Kumar | 2 | — | 2025 |
| Andrew Baird | 2 | — | 2025 |
| Andrew Crudge | 2 | — | 2025 |
| Andrew Gacek | 2 | — | 2025 |
| Andrew Krug | 2 | — | 2025 |
| Andrew Shortt | 2 | — | 2025 |
| Andy Reedy | 2 | — | 2025 |
| Andy Warfield | 2 | — | 2025 |
| Antonio Rodriguez | 2 | — | 2025 |
| Anuj Dewangan | 2 | — | 2025 |
| Anup Sivadas | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.