most citedTransforming the Hybrid Cloud for Emerging AI Workloads

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

AI+HW 2035: Shaping the Next Decade

Deming Chen, Jason Cong, Azalia Mirhoseini +27

Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks…

cs.LG2026★ 2 cited

Report for NSF Workshop on AI for Electronic Design Automation

Deming Chen, Vijay Ganesh, Weikai Li +7

This report distills the discussions and recommendations from the NSF Workshop on AI for Electronic Design Automation (EDA), held on December 10, 2024 in Vancouver alongside NeurIP…

cs.DC2024★ 2 cited

Transforming the Hybrid Cloud for Emerging AI Workloads

Deming Chen, Alaa Youssef, Ruchi Pendse +42

This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet th…

cs.AI2024★ 1 cited

Scaling Granite Code Models to 128K Context

Matt Stallone, Vaibhav Saxena, Leonid Karlinsky +19

This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code mo…

cs.DC2024★ 1 cited

The infrastructure powering IBM's Gen AI model development

Talia Gershon, Seetharami Seelam, Brian Belgodere +143

AI Infrastructure plays a key role in the speed and cost-competitiveness of developing and deploying advanced AI models. The current demand for powerful AI infrastructure for model…