--- title: "Jeff Rasley · Snowflake Inc. — author profile and papers" description: "Jeff Rasley, Snowflake Inc.: 3 papers on Elamur Research (2021–2024), h-index 15 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jeff-rasley/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jeff-rasley/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jeff Rasley # Jeff Rasley Jeff Rasley has 3 papers in our library, in 2021–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Samyam Rajbhandari](https://md.research.elamur.ai/free/en/authors/samyam-rajbhandari/), [Ammar Ahmad Awan](https://md.research.elamur.ai/free/en/authors/ammar-ahmad-awan/), [Reza Yazdani Aminabadi](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/). 3 papers in our library · 2021–2024 [OpenAlex](https://openalex.org/A5037534081) · [ORCID](https://orcid.org/0000-0003-2153-0409) · [**h-index 15**](https://openalex.org/authors/A5037534081) · [75 works](https://openalex.org/works?filter=author.id:A5037534081) · [3,796 citations](https://openalex.org/works?filter=author.id:A5037534081&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jeff-rasley/#papers) · [🔗 Cited 1,798 times in our library](https://md.research.elamur.ai/free/en/authors/jeff-rasley/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3944](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3944) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jeff+Rasley) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jeff+Rasley) · [dblp](https://dblp.org/search?q=Jeff+Rasley) · [ACL Anthology](https://aclanthology.org/search/?q=Jeff+Rasley) ## Affiliations [🏢**Snowflake Inc.** Bozeman · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/snowflake-inc/) · [🎓**Butler University** Indpls · United States 2002–2014 · 21 papers](https://ror.org/05gq3a412) · [🎓**Brown University** Providence · United States 2014–2017 · 6 papers](https://md.research.elamur.ai/free/en/universities/brown-university/) · [🏢**Microsoft** Redmond · United States 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jeff-rasley/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jeff-rasley/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/jeff-rasley/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale](https://md.research.elamur.ai/free/en/papers/rajbhandari-2022-deepspeed-moe-advancing-mixture-experts/)** *(2022 · 261 citations)* Mixture-of-Experts (MoE) models can reach a given quality with far less training compute than dense networks. 2. **[ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning](https://md.research.elamur.ai/free/en/papers/rajbhandari-2021-zero-infinity-breaking-gpu-memory/)** *(2021 · 254 citations)* Dense model sizes have grown roughly a thousandfold in three years, while single-GPU memory has grown only about fivefold. 3. **[DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference](https://md.research.elamur.ai/free/en/papers/holmes-2024-deepspeed-fastgen-high-throughput-text/)** *(2024 · 78 citations)* LLM serving systems must deliver high throughput and low latency together, which is hard when prompts are long. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations* 2. [**DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale arXiv:2201.05596**Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.*2022 · 261 citations*](https://md.research.elamur.ai/free/en/papers/rajbhandari-2022-deepspeed-moe-advancing-mixture-experts/) 3. [**ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning SC 2021**Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, et al.*2021 · 254 citations*](https://md.research.elamur.ai/free/en/papers/rajbhandari-2021-zero-infinity-breaking-gpu-memory/) 4. [**DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference arXiv 2024 (Microsoft DeepSpeed)**Connor Holmes, Masahiro Tanaka, Michael Wyatt, et al.*2024 · 78 citations*](https://md.research.elamur.ai/free/en/papers/holmes-2024-deepspeed-fastgen-high-throughput-text/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Samyam Rajbhandari](https://md.research.elamur.ai/free/en/authors/samyam-rajbhandari/) ×3 - [Ammar Ahmad Awan](https://md.research.elamur.ai/free/en/authors/ammar-ahmad-awan/) ×2 - [Reza Yazdani Aminabadi](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/) ×2 - [Yuxiong He](https://md.research.elamur.ai/free/en/authors/yuxiong-he/) ×2 - [Arash Bakhtiari](https://md.research.elamur.ai/free/en/authors/arash-bakhtiari/) - [Conglong Li](https://md.research.elamur.ai/free/en/authors/conglong-li/) - [Masahiro Tanaka](https://md.research.elamur.ai/free/en/authors/masahiro-tanaka/) - [Minjia Zhang](https://md.research.elamur.ai/free/en/authors/minjia-zhang/) - [Olatunji Ruwase](https://md.research.elamur.ai/free/en/authors/olatunji-ruwase/) - [Shaden Smith](https://md.research.elamur.ai/free/en/authors/shaden-smith/) - [Zhewei Yao](https://md.research.elamur.ai/free/en/authors/zhewei-yao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - SC 2021 ## Cited by Papers of our library cite their works 1,798 times (of the 149,439 papers whose bibliographies we read); [390 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jeff-rasley/cited-by/). Updated 2 November 2026