Last week we unveiled a full-scale model of IBM Quantum System One at Chicago O’Hare In collaboration with @UChicago @UChicagoPME, @APSphysics & @united, this installation celebrates a milestone in quantum: the first IBM quantum computer designed for data centers. With 60,000+

I am pleased to announce that an early-access preview of the upgraded IBM Quantum Platform is now available. The upgraded introduces several critical new capabilities (see https://t.co/IzZzVgewJt)

#IBM Spectrum #LSF on #IBMCloud: Functional and Performance Updates https://t.co/kKYsk6yfVH #HPC #hybridcloud #hybridhpc

"Should we treat tech and software engineering as a profit center?" I can't answer this question, but here's some food for thought.: All but one company which was founded the past 50 years and became a top 12 company by market cap treats it as a profit center.

We're looking for IBM Quantum users and quantum enthusiasts to join the IBM Quantum Feedback Program. Participants will take part in surveys, interviews, and usability studies to help shape the future of our products and services. More here:

#RaySummit is happening in 1 week! If you want to learn how companies like @OpenAI, @Uber, @Cruise, @Shopify, @lyft, @Spotify, and @Instacart are building their next generation ML infrastructure, join us!

Hi @Delta — I just chatted with one of your representatives about getting help on a very basic problem, which is getting back a lost stroller — but she wasn’t helpful at all, to the point that I felt her behavior to be insulting. The situation is simple - can you pls help?

At IBM we want to improve the world through quantum computing while making sure our clients and users are secure. Many know about our progress in quantum computing but just as impressive are our contributions towards quantum safe algorithms, as recognized by @NIST

🎉 Ray 1.13 is here! This release includes improved support for shuffling terabyte-scale and larger datasets (now in alpha), plus much more. Check out our release blog for the details:

"Quantum Serverless" now part of our latest Quantum roadmap. Love working on this with @jaygambetta & team, this is going to be awesome https://t.co/pawEVDRzHs

Great to see this running on IBM Cloud Code Engine, our serverless compute platform: "Predicting golfer performance at the Masters with Watson"

Quite impressed by Spectrum Scale, our storage technology for HPC scenarios on the IBM Cloud. It can do 2.5 TB/sec(!) and beyond: https://t.co/K8st93kC0V Check it out here:

I’m glad to see our quantum systems starting to be used more and more by the condensed-matter community. Check out the recent results from University of Madrid, LBNL, University of Melbourne and more investigating spin dynamics.

Introducing Quantum Serverless - allows users to take advantage of the best of classical and the best of quantum (qiskit runtime). As an example we showed a demonstrations using @IBMCloud Code Engine. Check out the blog https://t.co/wPpwxGk2SH 7/12

Today was our annual IBM Quantum Summit where we and our community made important announcements. Here is a quick recap thread.

This has been in the works for a long time, remember the early days when we started our efforts on knative Really enjoyed working with all partners & very proud too see this going 1.0 https://t.co/roVvYdg5k3 https://t.co/cG6MpEIvDO #kubernetes #serverless #IBM #codeengine

A little update. Our first exploratory Falcon r8 processor - "ibm_peekskill" is alive. Happy to have 3 times the coherence in a large device and we are on a path for pushing the quality of our systems higher. https://t.co/MiYvmjkid6

You'd like to run dask code faster than on dask? Then try to run your dask code on serverless Ray, sitting on top of IBM Code Engine. Here you can find the details and comparisons: https://t.co/tOyr1ptsuh https://t.co/cQw1S6UBUJ https://t.co/Zq9HEgFOPd https://t.co/IJZYj2x59H

Great example for how to do model-serving in a modern fashion, using Ray. https://t.co/vJCFNSKGAO Host your models using Ray, in a serverless fashion, using IBM Cloud Code Engine, within minutes:

Run your machine learning workloads using Ray, on top of IBM Cloud Code Engine. Super-simple to deploy, and very cost-efficient to run. You'll be up-and-running within a few mins, following these instructions: