Ron Diamant
Employers on the program
- 2021–2025Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | [NEW LAUNCH] AWS Trn3 UltraServers: Power next-generation enterprise AI performance as Amazon AWS Enterprise AI workloads demand infrastructure that can scale efficiently while delivering breakthrough performance. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | [NEW LAUNCH] AWS Trainium2 for breakthrough AI training and inference performance as Amazon Introducing the new Amazon EC2 Trn2 instances featuring AWS Trainium2, the second-generation of the Trainium chip. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Generative AI panel: Moving beyond the hype and realizing value Generative AI is motivating companies to think about how AI might reshape customer experiences, transform the way we work, and improve business productivity. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Accelerate deep learning and innovate faster with AWS Trainium as AWS Amazon EC2 Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance, deep-learning training and offer up to 50 percent…Show lessAmazon EC2 Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance, deep-learning training and offer up to 50 percent cost-to-train savings over equivalent GPU-based instances. In this session, learn about AWS Trainium and Trn1 innovations, the AWS collaboration with PyTorch and Hugging Face, and the successes users have seen. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | {New Launch} Introducing AWS Trainium-based Amazon EC2 Trn1 instances as AWS Introducing the new Amazon EC2 Trn1 instances featuring AWS Trainium, the second ML chip built by AWS that is optimized for ML training. Attend this session for…Show lessIntroducing the new Amazon EC2 Trn1 instances featuring AWS Trainium, the second ML chip built by AWS that is optimized for ML training. Attend this session for a first look at how Trn1 instances deliver the best price performance for training deep learning models in the cloud for natural language processing, object detection, image recognition, and other use cases. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Adam Hill | 5 | — | 2025 |
| Adnan Bilwani | 5 | — | 2025 |
| Alan Halachmi | 5 | — | 2025 |
| Alex DeBrie | 5 | — | 2025 |
| Alexandra Huides | 5 | — | 2025 |
| Ali Saidi | 5 | — | 2025 |
| Amit Kumar | 5 | — | 2025 |
| Amit Shah | 5 | — | 2025 |
| Ana Cunha | 5 | — | 2025 |
| Andrew Crudge | 5 | — | 2025 |
| Andrew Krug | 5 | — | 2025 |
| Andy Reedy | 5 | — | 2025 |
| Anubhav Sharma | 5 | — | 2025 |
| Arthur Petitpierre | 5 | — | 2025 |
| Bobby Lindsey | 5 | — | 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.