# ibm IBM is a technology company involved in AI, hybrid cloud, automation, data solutions, computing research, and enterprise software. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From error mitigation to fault-tolerant quantum computing DevFeed: [From error mitigation to fault-tolerant quantum computing]() Original publisher: [Read original article]() Published: 2026-09-15T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [ibm]() Tags: [compilation](), [deep-dive](), [errors](), [hardware](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-software](), [real-time](), [reduce](), [resource]() ### AI overview The article describes a continuum from quantum error mitigation to quantum error correction as a path toward useful quantum computing. It reports emerging techniques with lower effective error rates, reduced sampling overhead, and lower resource requirements than conventional approaches. ### Source excerpt A spectrum of error-correcting techniques is enabling useful quantum computation, measured not by logical qubits but by the circuits you can run with them. ## NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error DevFeed: [NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-14T16:43:16Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [lunar foundation model](), [foundation-models](), [ibm](), [Open Source](), [hugging face](), [dataset](), [multimodal](), [Benchmark]() Tags: [ai](), [benchmark](), [data](), [enterprise](), [fine-tuning](), [foundation-models](), [hugging-face](), [ibm](), [lunar-foundation-model](), [machine-learning](), [multimodal](), [nasa](), [open-source](), [space]() ### AI overview IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source on Hugging Face, along with its weights, technical report, and training dataset. Built on TerraMind, the model uses multimodal lunar observations for tasks including ice-deposit mapping, volcanic-feature detection, and crater detection. Reported benchmarks show up to 22% lower ice-mapping error than SwinV2-B, while the accompanying dataset contains roughly 2 million image tiles from nine instruments across four lunar missions. ### Source excerpt IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source, one of the first publicly available foundation models built for scientific study of the Moon. The weights, a technical report, and the machine-learning-ready dataset it was trained on are up on Hugging Face under the Prithvi family, which already covers Earth observation, The post NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error appeared first on StorageReview.com. ## LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program DevFeed: [LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:35:51Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [open-source-security](), [supply-chain-security](), [Security](), [vulnerability](), [DevSecOps](), [Deployment](), [Open Source](), [Artificial Intelligence]() Tags: [ai](), [deployment](), [devsecops](), [enterprise](), [ibm](), [open-source](), [open-source-software](), [red-hat](), [security](), [software-supply-chain](), [testing](), [vulnerability]() ### AI overview LTM is developing a remediation services practice around IBM and Red Hat's Lightwell program, which provides AI-generated, vendor-validated fixes for open-source software vulnerabilities. The offering is intended to help customers plan, prioritize, test, validate, and deploy patches at scale. ### Source excerpt LTM, the Larsen & Toubro Group services company that was LTIMindtree until its February rebrand, is building a Lightwell remediation services practice around the $5 billion IBM and Red Hat program for securing open-source software with AI-generated, vendor-validated fixes. IBM's clearinghouse produces validated, production-ready patches for open-source dependencies; LTM's job is getting them into customer The post LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program appeared first on StorageReview.com. ## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:25:47Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [Quantum Computing](), [Supercomputing](), [Cloud](), [Algorithms](), [Optimization](), [Simulation and Design](), [Hardware]() Tags: [2026](), [ai](), [algorithms](), [amd](), [chemistry](), [cloud](), [collaboration](), [core](), [enterprise](), [financial-services](), [hardware](), [hub](), [ibm](), [infrastructure](), [manufacturing](), [optimization](), [processors](), [quantum](), [quantum-computing](), [science](), [simulation](), [supercomputing]() ### AI overview IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services. ### Source excerpt IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com. ## Introducing IBM and NASA's new foundation model for the Moon DevFeed: [Introducing IBM and NASA's new foundation model for the Moon]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-09-10T12:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [lunar foundation model](), [ibm](), [foundation-models](), [data](), [Artificial Intelligence](), [AI Architecture]() Tags: [accelerated-discovery](), [ai](), [ai-architecture](), [algorithms](), [ibm](), [lunar-foundation-model](), [mapping](), [model](), [nasa](), [release](), [science](), [space](), [us]() ### AI overview IBM and NASA are open-sourcing the NASA-IBM Lunar Foundation Model, a multimodal AI model that integrates lunar observations from US and Japanese missions across viewing angles, spatial scales, and measurement types. The model is intended to support lunar mapping, volcanic-history research, and searches for polar ice. ### Source excerpt The multi-modal model could help astronauts navigate craters, investigate ancient lava, and search for ice, as the US plans for a long-term lunar presence. ## Switzerland's first IBM Quantum System Two DevFeed: [Switzerland's first IBM Quantum System Two]() Original publisher: [Read original article]() Published: 2026-09-10T07:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm](), [Supercomputing]() Tags: [2026](), [collaboration](), [development](), [hub](), [ibm](), [industry](), [innovation](), [news](), [quantum](), [quantum-community](), [quantum-computing](), [quantum-network](), [quantum-systems](), [research](), [science](), [switzerland](), [technology](), [with]() ### AI overview IBM and Lockheed Martin are launching a quantum innovation hub at ETH Zurich, anchored by Switzerland's first IBM Quantum System Two. Expected to be operational by the end of 2026 at the Swiss National Supercomputing Centre in Lugano, it will expand quantum computing access for Swiss universities, startups, companies, and researchers. ### Source excerpt Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development. ## Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists DevFeed: [Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists]() Original publisher: [Read original article]() Published: 2026-09-09T04:00:00Z Content type: news Language: en Sources: [IBM Research]() Topics: [High-Performance Computing](), [ibm](), [Supercomputing](), [Benchmark](), [data]() Tags: [automated](), [chemistry](), [gpu](), [hpc](), [ibm](), [news](), [quantum](), [quantum-community](), [quantum-network](), [quantum-research](), [recognition](), [research](), [supercomputing](), [workflows]() ### AI overview Cleveland Clinic, RIKEN, and IBM were named finalists for the 2026 ACM Gordon Bell Prize for quantum-HPC chemistry research. The collaboration simulated a 12,635-atom protein system and reported an automated workflow that reduces coordination and data movement across quantum and classical computing resources. ### Source excerpt Finalist recognition for one of supercomputing's top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows. ## IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs DevFeed: [IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs]() Original publisher: [Read original article]() Author: Peter Hess Published: 2026-09-08T12:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Inference](), [GPU](), [Self-hosted](), [Large Language Model](), [ibm]() Tags: [ai](), [ai-for-code](), [generative-ai](), [gpu](), [hybrid-cloud](), [hybrid-cloud-platform](), [ibm](), [inference](), [llm](), [news](), [open-source](), [scaling-ai](), [self-hosted]() ### AI overview IBM Research, Red Hat, and collaborators report a benchmark deployment of the llm-d open-source inference framework serving the open-weight GLM-5.2 model on 544 NVIDIA H100 GPUs. The reported workload reached more than 6.6 million output tokens per minute and up to 3,000 concurrent coding agents without preemptions. ### Source excerpt IBM Research and Red Hat deployed a 753B open model on H100 GPUs, serving thousands of concurrent coding agents at 5-10x lower cost than commercial APIs. ## Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast DevFeed: [Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast]() Original publisher: [Read original article]() Author: Jon Whitehead Published: 2026-09-04T11:55:41Z Content type: comparison Language: en Sources: [DaCast]() Topics: [Streaming](), [Security, Privacy and Abuse Prevention](), [Accessibility](), [data](), [ibm](), [Canvas]() Tags: [accessibility-compliance](), [comparison](), [data](), [data-privacy](), [ibm](), [streaming](), [the-video-experts-blog](), [video]() ### AI overview This comparison guide evaluates Panopto alternatives for higher education, focusing on Kaltura, IBM Video Streaming, and Dacast. It explains that university buyers should consider LMS integration, student data privacy, accessibility compliance, procurement requirements, pricing, bandwidth, and support for public-facing content. ### Source excerpt By Dacast Editorial Team | Reviewed by Jon Whitehead, COO at Dacast | Updated September 2026 Choosing a video streaming platform for a university isn't the same evaluation as picking one for a corporate training program or an individual course creator. University IT and AV teams have to weigh LMS integration, student data privacy, accessibility [...] The post Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast appeared first on Dacast. ## From MIT to IBM, expediting AI and quantum deployment DevFeed: [From MIT to IBM, expediting AI and quantum deployment]() Original publisher: [Read original article]() Author: Lauren Hinkel | MIT-IBM Computing Research Lab Published: 2026-09-02T20:25:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [ibm](), [Reinforcement learning](), [Computing](), [LLMs]() Tags: [academic](), [ai](), [ai-agents](), [algorithms](), [alumni-ae](), [aram-harrow](), [artificial-intelligence](), [atari-games](), [careers](), [collaboration](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [computing](), [data](), [electrical-engineering-and-computer-science-eecs](), [fair-ai](), [graduate-postdoctoral](), [graduate-students](), [ibm](), [industry](), [irene-ko](), [isaac-chuang](), [language-models](), [learning](), [luca-daniel](), [machine-learning](), [mit-ibm-computing-research-lab](), [mit-ibm-watson-ai-lab](), [mit-schwarzman-college-of-computing](), [pulkit-agrawal](), [quantum-computing](), [quantum-machine-learning](), [research](), [school-of-engineering](), [srinivasan-arunachalam](), [trustworthy-ai](), [vllm-hook](), [zhang-wei-hong]() ### AI overview MIT graduate students and a former postdoc who moved to IBM describe how work with the MIT-IBM Computing Research Lab helped translate rigorous research into industry applications. Their areas include quantum machine learning, reinforcement learning, AI agents, and trustworthy and fair AI. ### Source excerpt MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems. ## IBM Quantum Nighthawk r2--more circuits, faster DevFeed: [IBM Quantum Nighthawk r2--more circuits, faster]() Original publisher: [Read original article]() Published: 2026-08-31T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [ibm](), [Quantum Computing](), [Hardware]() Tags: [hardware](), [ibm](), [performance](), [processor](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-systems](), [release](), [speed]() ### AI overview IBM Quantum Nighthawk r2 uses independent high-speed qubit reset to execute more than 100,000 circuits per second, providing up to 25 times the circuit throughput of IBM Quantum Heron. The 120-qubit processor also supports accurate results on circuits with more than 7,500 gates. ### Source excerpt High-speed, independent qubit reset boosts circuit throughput 25x over Heron while enabling accurate observable estimation on circuits with 7,500+ gates. ## Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi DevFeed: [Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi]() Original publisher: [Read original article]() Author: George Cozma Published: 2026-08-30T17:31:05Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [Arm](), [ibm](), [systems]() Tags: [2026](), [architecture](), [architectures](), [arm](), [core](), [decoding](), [ibm](), [interviewing](), [systems]() ### AI overview An interview with IBM engineers at Hot Chips 2026 discusses the company's next-generation z/Architecture processor, which supports both the z/Architecture and Arm instruction sets. The conversation covers its shared decode pipeline, separate instruction decoders, and handling of differing endianness in the load-store unit. ### Source excerpt Hello you fine Internet folks, ## Granite 4.2 brings native reasoning to enterprise agents DevFeed: [Granite 4.2 brings native reasoning to enterprise agents]() Original publisher: [Read original article]() Author: Mike Murphy; Kim Martineau Published: 2026-08-25T15:00:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [ibm](), [Large Language Model](), [Artificial Intelligence](), [Loop Engineering](), [Reinforcement learning](), [foundation-models](), [Software Engineering](), [Cloud]() Tags: [agentic](), [agents](), [ai](), [apache](), [cloud](), [fine-tuning](), [ibm](), [large-language-models](), [reasoning](), [reinforcement-learning](), [release](), [terminal]() ### AI overview IBM is releasing Granite 4.2 language models in 3B, 8B, and 30B sizes for enterprise agentic workflows. The models provide native reasoning, tool calling, instruction following, coding support, and deployment across cloud, on-premises, and edge environments. They are released under the Apache 2.0 license and trained with a multi-stage reinforcement learning process. ### Source excerpt IBM's new open Granite models are designed for agentic AI, combining reasoning, tool use, coding, instruction following, and speech capabilities. ## IBM's new modular architecture for cryogenic systems DevFeed: [IBM's new modular architecture for cryogenic systems]() Original publisher: [Read original article]() Published: 2026-08-19T10:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [Architecture & Design](), [ibm]() Tags: [architecture](), [hardware](), [ibm](), [news](), [quantum](), [quantum-computing](), [quantum-systems]() ### AI overview IBM describes a modular cryogenic architecture for connecting quantum processors through quantum and classical links. The design is intended to improve scalability, reliability, upgradeability, and support for future multi-chip, fault-tolerant quantum systems. ### Source excerpt Modular approach to housing and cooling quantum processors clears a path for interconnected, fault-tolerant systems. ## EveryEvalEver aims to standardize AI benchmark reporting and sharing DevFeed: [EveryEvalEver aims to standardize AI benchmark reporting and sharing]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-07-23T14:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Artificial Intelligence](), [benchmarking](), [LLM evaluation / benchmarking](), [ibm](), [hugging face](), [AI Models](), [data]() Tags: [ai](), [ai-evaluation](), [ai-models](), [ai-transparency](), [benchmarking](), [fairness-accountability-transparency](), [generative-ai](), [hugging-face](), [ibm](), [news](), [performance](), [reporting]() ### AI overview IBM, Hugging Face, and academic collaborators launched EveryEvalEver to make AI benchmark results easier to compare, replicate, and reuse. The project combines standardized reporting with a crowdsourced database of model evaluation results. ### Source excerpt IBM is part of a global team trying to make AI benchmarking results easier to compare, replicate, and reuse. ## IBM to acquire HRL Laboratories DevFeed: [IBM to acquire HRL Laboratories]() Original publisher: [Read original article]() Author: Ryan Mandelbaum Published: 2026-07-23T11:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [ibm](), [.NET Conf]() Tags: [acquisition](), [explainer](), [history](), [ibm](), [quantum](), [research](), [science](), [technology]() ### AI overview IBM announced a definitive agreement to acquire HRL Laboratories, citing HRL's silicon-spin qubit expertise as complementary to IBM's quantum-computing research. The article also recounts HRL's history, including its contributions to aviation, electronics, radar, and the invention of the laser. ### Source excerpt Exploring the storied history of HRL Laboratories, from the invention of the laser to silicon spin qubits. ## What are spin qubits? DevFeed: [What are spin qubits?]() Original publisher: [Read original article]() Published: 2026-07-23T11:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm]() Tags: [acquisition](), [explainer](), [ibm](), [quantum](), [quantum-computing](), [quantum-research](), [quantum-systems](), [research]() ### AI overview IBM explains spin qubits, including how electron spin can encode quantum information and how quantum dots control individual electrons. The article discusses spin qubits in the context of IBM's acquisition of HRL Laboratories and the scaling of quantum technologies. ### Source excerpt Spin qubits are an important element of IBM's recent HRL Laboratories acquisition. ## IBM commits $50M in quantum access for US Genesis Mission DevFeed: [IBM commits $50M in quantum access for US Genesis Mission]() Original publisher: [Read original article]() Published: 2026-07-22T20:00:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [ibm](), [Artificial Intelligence](), [Quantum Computing](), [High-Performance Computing](), [Supercomputing]() Tags: [accelerate](), [ai](), [department-of-energy](), [discovery](), [government](), [high-performance-computing](), [ibm](), [news](), [project](), [quantum](), [supercomputing](), [us]() ### AI overview IBM says a project was selected by the U.S. Department of Energy's Genesis Mission to accelerate AI-driven scientific discovery and will contribute up to $50 million in quantum system access. The mission combines AI, quantum computing, supercomputing, and scientific instruments. ### Source excerpt An IBM project was also selected to accelerate AI-driven quantum application discovery. ## RPG Metrics: A Free-Beta Code Quality Scanner for IBM i RPG DevFeed: [RPG Metrics: A Free-Beta Code Quality Scanner for IBM i RPG]() Original publisher: [Read original article]() Author: Federico Tomassetti Published: 2026-07-15T09:22:39Z Content type: opinion Language: en Sources: [Federico Tomassetti]() Topics: [Code quality](), [Software](), [ibm]() Tags: [code-processing](), [code-quality](), [free](), [maintainability](), [platform](), [rpg]() ### AI overview This commentary reviews RPG Metrics, a code quality scanner from KDP Software for IBM i RPG source. The tool measures metrics including cyclomatic complexity and maintainability, identifies problematic files and refactoring points, and is free while in beta. The article compares it with enterprise-oriented static-analysis products. ### Source excerpt KDP Software has worked the IBM midrange platform since 1985. Their new RPG Metrics tool measures cyclomatic complexity, maintainability, and RPG Free convertibility across your RPG source. It is free during beta, it took me minutes to get a number out of it, and when I had questions the founder answered them himself. The post RPG Metrics -- The IBM i Tool the Big Vendors Wouldn't Sell You appeared first on Federico Tomassetti. ## How CockroachDB and IBM LinuxONE Rockhopper 5 Power Resilient AI Infrastructure DevFeed: [How CockroachDB and IBM LinuxONE Rockhopper 5 Power Resilient AI Infrastructure]() Original publisher: [Read original article]() Author: Kyle Basile Published: 2026-07-07T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [AI Infrastructure](), [NVIDIA DGX](), [CockroachDB](), [ibm](), [Databases](), [AI Development]() Tags: [ai](), [ai-infrastructure](), [availability](), [cockroachdb](), [concurrency](), [consistency](), [customers](), [data](), [digital](), [distributed](), [engineering](), [enterprise](), [failover](), [financial](), [ibm](), [identity](), [identity-and-access](), [identity-and-access-management](), [infrastructure](), [security]() ### AI overview The article explains how enterprise AI workloads increase requirements for continuous data availability, high concurrency, real-time decision-making, and elastic scaling. It presents IBM LinuxONE Rockhopper 5 and CockroachDB as infrastructure and data-platform components for resilient AI applications, including semantic retrieval, embeddings, agent memory, and transactional consistency. ### Source excerpt Why does AI require a new approach to infrastructure? ## Ceph Days Seattle 2026 - Cloud Transition to Tape DevFeed: [Ceph Days Seattle 2026 - Cloud Transition to Tape]() Original publisher: [Read original article]() Author: John Shubeck Published: 2026-06-15T00:00:00Z Content type: article Language: en Sources: [Ceph Blog]() Topics: [Open Source](), [Amazon S3](), [ibm](), [Cloud](), [Software]() Tags: [2026](), [blog-post](), [ceph](), [cloud](), [conferences](), [developers](), [en-article](), [en-blog-post](), [ibm](), [network](), [object-storage](), [open-source](), [s3](), [seattle](), [storage]() ### AI overview This article recaps Ceph Days Seattle 2026, a community-driven event about open-source storage. It introduces Ceph as a software-defined platform for block, file, and object storage, and highlights a presentation on transitioning Ceph cloud workloads to S3-enabled tape. ### Source excerpt I'm John Shubeck, an information technology professional with over 44 years of industry experience spanning both the customer and technology provider experience. I'm currently serving as a Senior Storage Technical Specialist for IBM Object Storage platforms across all market segments in the Americas. On Thursday, May 28th, 30 members, myself included, of the Ceph faithful descended on the SURF business incubator in downtown Seattle for "Ceph Days Seattle 2026". Following the traditional Ceph Days agenda, the Seattle program consisted of a series of "Ceph Talks" designed to introduce new ideas and share lessons learned. Ceph Days are community-driven events designed to bring together Ceph users, developers, architects, administrators, and anyone interested in open-source storage. Held throughout the year in locations around the world, these one-day gatherings offer a unique opportunity to learn from real-world deployments, explore new technologies, connect with peers, and contribute to discussions that help shape the future of Ceph. Did you know? ¶ Ceph is a software-defined, hardware-independent storage solution that provides block, file, and object storage on a single unified platform. Ceph is championed by developers, administrators, users, IT leaders, and Fortune 500 enterprise customers. It is a living, vibrant, and active group that has adopted Ceph in its IT operations. The Ceph project and community are supported by a Foundation (https://ceph.io/en/foundation/) comprising organizations, stakeholders, and industry leaders who collaborate to coordinate investment, development, and community activities for Ceph. With the setting, plot, and characters stated above, we turn to today's topic. A key activity of the Ceph community is a series of "Ceph Days" conferences. A Ceph Day is a full-day meetup where participants learn, network, make new acquaintances, and share ideas on how to enhance the value of Ceph. Sometimes IBM participates by providing the venue, a gue ## Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic DevFeed: [Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic]() Original publisher: [Read original article]() Author: Nicholas Fuller Published: 2026-06-01T13:51:18Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Artificial Intelligence](), [Large Language Model](), [AI Strategy](), [ibm](), [Software](), [Databases]() Tags: [agentic-ai](), [ai](), [ai-adoption](), [ai-agents](), [apis](), [databases](), [enterprise](), [ibm](), [llms](), [software-delivery]() ### AI overview The article argues that scalable enterprise AI adoption depends on agent logic--software primitives that guide AI agents through complex, long-running workflows involving APIs, databases, services, business policies, and regulations. It discusses tradeoffs of expanded LLM context, including hallucinations and token consumption, and describes IBM-oriented use cases across legacy-code understanding, test generation, incident response, application resiliency, and compliance modernization. ### Source excerpt Guides have aided humanity throughout history. Prehistoric civilizations understood that the sun and the moon could be used to navigate vast distances on land and the high seas. Over time, various journeys facilitated the production of maps for better planning and faster travel time to repeat destinations. Centuries later, the introduction of the compass enabled seagoers to achieve greater accuracy in seeking unexplored destinations. And today, GPS navigation apps guide our every journey. ## Childhood Computing DevFeed: [Childhood Computing]() Original publisher: [Read original article]() Published: 2026-05-24T00:00:00Z Content type: opinion Language: en Sources: [Susam Pal]() Topics: [Programming](), [Code](), [ibm](), [pc](), [Open Source]() Tags: [blog-post](), [code](), [computer](), [computing](), [dos](), [graph](), [ibm](), [open-source](), [pc](), [programming](), [saving](), [test]() ### AI overview A personal essay recalls learning programming in a school computer lab in 1992 using IBM PC-compatible machines, MS-DOS, floppy disks, and Logo. Limited computer access led the author to write and test programs on paper, while classmates copied and modified one program in an early informal form of software sharing. ### Source excerpt I recently stumbled upon a nice blog post titled Childhood Computing. It made me think about my own childhood computing experience. I am much older than the author of the aforementioned post, but like them, I too love computers. I have for most of my life. In 1992, when I was eight years old, my parents decided to transfer me to a new school because of its curriculum. They did not know it then, and it probably did not even matter to them, but this new school had a computer lab. That was quite remarkable for its time. I grew up in a very tiny industrial town. The computers in the lab were hand-me-downs from the silica factory around which the town was built. We got only about two hours of time per month in the computer lab, but the little time I got there opened up a whole new world for me. Before entering the lab, we had to leave our shoes at the door. 'These are expensive machines. We must keep them free of dust', our teacher would say. It was a ritual. The computers were very old IBM PC compatible machines, mostly with monochrome cathode-ray tube (CRT) monitors. They had no hard disks at all. They had a few hundred kilobytes of RAM. Every time, we performed the same ritual. Insert a 5¼-inch floppy disk to load MS-DOS into memory. Then insert another disk to load LOGO.COM. Then write small Logo programs and watch the turtle move. I have written more about that early Logo programming experience here: FD 100. Further, since there were no hard disks and storage was at a premium, nothing was ever saved. The moment you turned off the computer, all your work vanished. So saving a program meant literally writing the program down in a physical notebook. Video capture of IBM Personal Computer Logo [MP4] Since I had so little time with an actual computer, most of my Logo programming happened with pen and paper at home. I would 'test' my programs by tracing the results on graph paper. Eventually, I would get about thirty minutes of actual computer time in the lab to run them ## Granite 4.1 LLMs: How They're Built DevFeed: [Granite 4.1 LLMs: How They're Built]() Original publisher: [Read original article]() Author: Yousaf Shah Published: 2026-04-29T15:01:48Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [LLMs](), [ibm](), [long-context](), [Fine-tuning](), [grpo](), [Training AI Models](), [Transformer architecture](), [Data Quality]() Tags: [apache](), [fine-tuning](), [grpo](), [ibm](), [learning](), [llms](), [long-context](), [tokens](), [training](), [transformer-architecture]() ### AI overview The article introduces Granite 4.1, IBM's family of dense decoder-only LLMs in 3B, 8B, and 30B sizes. It describes their five-stage training process, which uses about 15 trillion tokens, data-quality refinement, long-context extension up to 512K tokens, supervised fine-tuning, and reinforcement learning with on-policy GRPO and DAPO loss. The models use a dense transformer architecture and are released under the Apache 2.0 license. ### Source excerpt Authors: Granite Team, IBM TL;DR -- Granite 4.1 is a family of dense, decoder-only LLMs (3B, 8B, and 30B) trained on ~15T tokens using a multi-stage pre-training pipeline, including long-context extension of up to 512K tokens. The models are further refined with supervised fine-tuning on ~4.1M high-quality curated samples and reinforcement learning via on-policy GRPO with DAPO loss (Yu et al., 2025). [Next page]()