Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepspeed-inference-enabling-efficient-inference-of-transformer-models-at-unprecedented-scale
MLA“DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepspeed-inference-enabling-efficient-inference-of-transformer-models-at-unprecedented-scale.
BibTeX@misc{4ortxyz_deepspeed-inference-enabling-efficient-inference-of-transformer-models-at-unprecedented-scale_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale}}, year = {2026}, url = {https://4ort.xyz/entity/deepspeed-inference-enabling-efficient-inference-of-transformer-models-at-unprecedented-scale}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale — https://4ort.xyz/entity/deepspeed-inference-enabling-efficient-inference-of-transformer-models-at-unprecedented-scale (retrieved 2026-05-24)