What’s Next in Hybrid Cloud is seamless computing
Computers have never been more important to the world. At IBM Research, we’re designing new systems that provide flexible, secure computing environments — from bits to neurons and qubits. We’re working on innovations in hybrid cloud infrastructure, operating systems, and software. Our goal is to create technologies that improve performance, security, and ease of use across hybrid and multi-cloud computing. We want to enable clients to dynamically compose best-of-breed services and applications freely and frictionlessly across distributed computing environments and accelerate data-driven innovations.
Our work
What is PyTorch?
ExplainerMike Murphy- AI
- Hybrid Cloud
- Hybrid Cloud Platform
- Open Source
- Scaling AI
What is AI inferencing?
ExplainerKim Martineau- AI
- Foundation Models
- Generative AI
- Hybrid Cloud
Find and fix IT glitches before they crash the system
NewsKim Martineau- AI for Code
- AI for IT
- Explainable AI
- Foundation Models
- Generative AI
How open source paved the way for computing from anywhere
NewsKim Martineau- AI
- Hybrid Cloud Platform
- Machine Learning
- Scaling AI
IBM and NASA open source the largest geospatial AI foundation model on Hugging Face
NewsKim Martineau- Accelerated Discovery
- AI
- Climate
- Distributed Systems
- Foundation Models
- Hybrid Cloud
- Open Source
- Scaling AI
Composable systems with OpenShift
Technical noteChristian Pinto, Michele Gazzetti, and Michael Johnston- Hybrid Cloud
- Hybrid Cloud Infrastructure
- See more of our work on Hybrid Cloud
Tools + code
KUI
Kui takes your normal kubectl command line requests and responds with graphics.
View project →Fybrik
A cloud native platform to unify data access, governance and orchestration, enabling business agility while securing enterprise data.
View project →Iter8
SLO validation, A/B testing and progressive delivery on Kubernetes.
View project →HELayers – Community Edition
SDKs for computing on encrypted data without decrypting it, provided via Docker container. Equipped with C++ and Python API’s and includes Jupyter Notebooks and VS Code IDEs with demonstrations, tutorials and documentation for AI/ML and encrypted search applications. Support for Linux, Intel, MacOS and s390x platforms.
View project →
Publication collections
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.