Available now, developers have access to the best open source test-time compute model released by Alibaba: QwQ-32B-Preview.
Available now, SambaNova has optimized and released Meta's Llama 3.3 70B model on its RDU hardware architecture.
The SambaNova Startup Accelerator program is designed not just to support, but to partner with startups as they build and scale their groundbreaking AI solutions.
Available on SambaNova Cloud, developers now have access to some of the best open-source models in the Qwen 2.5 series: Qwen 72B and 32B-Coder.
Working together, we’ve created a SambaNova-Gradio integration that can be used to build and deploy AI apps using the SambaNova API with only a few lines of code.
Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun
Etash Guha
Published at UAI 2024
Etash Guha
Published at ICLR 2024
Etash Guha
Published at ICLR 2024
Etash Guha
Published at ICLR 2024
Kaizhao Liang
Presented at ICLR 2024
Etash Guha
Presented at Regulatable ML Workshop@NeurIPS 2023
Fenglu Hong, Bo Li, Changran Hu, Edison Chen
Presented at Foundation Models for Decision Making @NeurIPS 2023
Zolstan Csaki, Urmish Thakker
Presented at The 3rd NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP)
Darshan Gandhi, Urmish Thakker, Raghu Prabhakar
Presented at ICLR 2023 Workshop on Sparsity in Neural Networks
Kaizhao Liang
Presented at ICLR 2022
Urmish Thakker
Presented at ICLR 2022
Urmish Thakker
Presented at ACL 2022
Urmish Thakker
Presented at NeurIPS 2021
Kaizhao Liang
Presented at The 1st WACV Workshop on Large Language and Vision Models for Autonomous Driving (LLVM-AD)
Sumti Jairath
Presented at Computing in Science & Engineering
Benjamin Glick, Arjun Sabnis, Renate Kempf, Arnav Goel, Aarti Lalwani, Guoyao Feng, and Kiran Ranganath
Presented at ROSS Workshop, SC 2023
Edison Chen, Dawei Huang, Mingran Wang, Bowen Yang, Jinuk Luke Shin, Changran Hu, Bo Li, Raghu Prabhakar, Gao Deng, Yongning Sheng, Sihua Fu, Lu Yuan, Tian Zhao, Yun Du, Chen Liu, Jun Yang, Viren Shah, Venkat Srinivasan, Sumti Jairath
Presented at CICC 2023
Raghu Prabhakar, Jinuk Luke Shin, Sumti Jairath
Presented at ISSCC 2022
Raghu Prabhakar, Sumti Jairath
Presented at HotChips 2022