Travis Addair
where else to find them
what they talk about
all 6 in the filters
where they keep going back
- Open AI + Data Forum @ Open Source Summit North America2 editions2022–2024
- Ray Summit2 editions2020–2021
all 4 in the filters
on a stage with
who talks about the same things
- Robert Nishihara11 talks
- Ronen Dar3 talks
- Ganeshkumar Ashokavardhanan5 talks
- Lu Qiu13 talks
- Joinal Ahmed6 talks
- (unnamed presenter)4 talks
| title | conference | date |
|---|---|---|
| LoRAX: Serve 1000s of Fine-Tuned LLMs on a Single GPU | Open AI + Data Forum @ Open Source Summit North America 2024 | 2024-04-16 |
LoRAX claims to pack 1000s of LoRA adapters on a single GPU by keeping a base model resident and swapping tiny LoRA checkpoints just-in-time, with first‑time… | ||
| Democratizing Deep Learning at Scale with Horovod | Open AI + Data Forum @ Open Source Summit North America 2022 | 2022-06-21 |
Democratizing Deep Learning at Scale with Horovod - Nicolas Castet, Nvidia & Travis Addair, Predibase | ||
| Efficient Deep Learning Training with Ludwig AutoML, Ray, and Nodeless Kubernetes | Kubernetes Batch + HPC Day Europe 2022 | 2022-05-17 |
Runs Ludwig AutoML and Ray on Kubernetes with Nodeless K8s (Luna) to provision just‑in‑time GPUs, replacing a fixed three‑node g4dn.4xlarge Ray cluster… | ||
| Efficient AutoML with Ludwig, Ray, and Nodeless Kubernetes | Kubernetes AI Day Europe 2022 | 2022-05-16 |
Ludwig AutoML uses Ray Tune and heuristics derived from 12 training datasets to pick architectures (TabNet for tabular) and narrow hyperparameter ranges… | ||
| End-to-End AutoML with Ludwig on Ray | Ray Summit 2021 | 2021-06-22 |
Ludwig on Ray runs the same Ludwig config locally or at cluster scale with one parameter on the command line, enabling out‑of‑core preprocessing via Dask on… | ||
| Distributed Deep Learning with Horovod on Ray | Ray Summit 2020 | 2020-09-30 |
Horovod runs data-parallel training for TensorFlow PyTorch and MXNet with near 90% scaling efficiency (demonstrated on IBM Summit with ~27,000 GPUs and a… | ||
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