Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog
Learn about FasterTransformer, one of the fastest libraries for distributed inference of transformers of any size, including benefits of using the library.
Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog Technical Blog Subscribe Related Resources Data Science Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server Aug 03, 2022 By Denis Timonin , BoYang Hsueh and Vinh Nguyen Like Discuss (1) L T F R E AI-Generated Summary Like Dislike The NVIDIA Triton Inference Server's FasterTransformer (FT) library is a powerful tool for distributed inference of large transformer models, supporting models with up to trillions of parameters. FT achieves fast infe
saved by
related reading
- the world’s largest distributed LLM training job on TPU v5e | Google Cloud Blogcloud.google.com
- How To Scale Your Modeljax-ml.github.io
- [2207.00032] DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scalearxiv.org
- [2205.14135] FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenessarxiv.org
- All About Transformer Inferencejax-ml.github.io
- Transformers Inference Optimization Toolset | AstraBlogastralord.github.io
- Efficiently Scaling Transformer Inferencearxiv.org
- Transformer Inference Arithmetic | kipply's blogkipp.ly
- Transformer Math 101 | EleutherAI Blogblog.eleuther.ai
- Fast Inference from Transformers via Speculative Decodingarxiv.org
- Full Stack Optimization of Transformer Inference: a Surveyarxiv.org
- Overview · Hugging Facehuggingface.co