What’s Next in Hybrid Cloud is seamless computing
The history of computing is one of abstraction. Orchestration has been divorced from the developer's work, vastly increasing productivity. Multi-cloud computing is another step on this journey. With the advent of agentic AI, generative computing, and quantum-centric supercomputing, there is the potential to blend these computational powers together, across cloud providers and all the way to the edge. At IBM Research, we’re building the computing architecture that will enable the world to use these systems in concert to discover faster, solve more complex problems, and push the frontiers of science and business.
Our work
- Technical noteBridget McGinn, Raju Pavuluri, Advait Pavuluri, Rahul Krishna, Srikanth Tamilselvam, Ashita Saxena, George Safta, and Michele Merler
PyTorch opens the AI ecosystem to a new class of accelerators
NewsPeter HessHow llm-d makes the most of the hardware you already have
NewsPeter HessBringing the power of semantic AI to IBM Db2
Technical notePrabhakar Kudva, Apoorva Nitsure, Petr Novotny, Hong Min, and Donna DillenbergerIBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
NewsPeter HessDonating llm-d to the Cloud Native Computing Foundation
NewsPeter Hess- See more of our work on Hybrid Cloud
IBM Solution: Hybrid Cloud
Hybrid cloud allows for the seamless integration of platforms, applications, and infrastructure built on public cloud, private cloud and on-prem.