Max Liu
Employers on the program
- 2026TiDB1 talk
- 2022–2025PingCAP3 talks
- 2022Amazon Web Services1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- TiDB SCaiLE (formerly HTAP Summit)
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 15, 2026 | TiDB SCaiLE 2026 | TiDB SCaiLE (formerly HTAP Summit) | keynote | Opening keynote: One Data Layer. Every Kind of Scale. as TiDB | |
| Oct 7, 2025 | TiDB SCaiLE 2025 | TiDB SCaiLE (formerly HTAP Summit) | keynote | Untitled as PingCAP | |
| Sep 11, 2024 | HTAP Summit 2024 | TiDB SCaiLE (formerly HTAP Summit) | keynote | What's Next for SQL @ Scale as PingCAP | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Fine-tune Hugging Face LLMs using Amazon SageMaker and AWS TrainiumLarge language models (LLMs) are pretrained on vast amounts of data and perform well across a variety of general-purpose tasks and benchmarks without further…Show lessLarge language models (LLMs) are pretrained on vast amounts of data and perform well across a variety of general-purpose tasks and benchmarks without further specialized training. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Choosing the right accelerator for training and inference as AWS Amazon EC2 provides the broadest and deepest portfolio of instances for machine learning applications. From GPU-based high-performance instances such as P4 and…Show lessAmazon EC2 provides the broadest and deepest portfolio of instances for machine learning applications. From GPU-based high-performance instances such as P4 and G5, to Trn1 and Inf1 instances purpose-built with AWS silicon for best price performance, there’s a right instance for each of your machine learning workloads. | SlidesVideo |
| Nov 1, 2022 | HTAP Summit 2022 | TiDB SCaiLE (formerly HTAP Summit) | keynote | Untitled as PingCAP |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Sunny Bains | 3 | — | 2026 |
| Ed Huang | 3 | — | 2025 |
| Srinivas Kesanapally | 3 | — | 2024 |
| Matthew McClean | 2 | 1 | 2023 |
| Scott Perry | 2 | 1 | 2023 |
| John Grass | 2 | — | 2026 |
| Mona Chadha | 2 | — | 2025 |
| Sanjay Mishra | 2 | — | 2025 |
| Andrew Chen | 2 | — | 2024 |
| Audrey Cheng | 2 | — | 2024 |
| Ayan Ray | 2 | — | 2024 |
| Brian Walters | 2 | — | 2024 |
| Dave Burgess | 2 | — | 2024 |
| Aaron Khoo | 2 | — | 2023 |
| Aaron Sempf | 2 | — | 2023 |
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.