Crimson Hat, a supplier of open supply options, has unveiled updates to Crimson Hat AI, its portfolio of services and products designed to assist speed up the event and deployment of AI options throughout the hybrid cloud.
Crimson Hat AI supplies an enterprise AI platform for mannequin coaching and inference that delivers elevated effectivity, a simplified expertise and the flexibleness to deploy anyplace throughout a hybrid cloud surroundings.
Whilst companies search for methods to scale back the prices of deploying massive language fashions (LLMs) at scale to deal with a rising variety of use circumstances, they’re nonetheless confronted with the problem of integrating these fashions with their proprietary information that drives these use circumstances whereas additionally having the ability to entry this information wherever it exists, whether or not in a knowledge centre, throughout public clouds and even on the edge.
Encompassing each Crimson Hat OpenShift AI and Crimson Hat Enterprise Linux AI (RHEL AI), Crimson Hat AI addresses these considerations by offering an enterprise AI platform that permits customers to undertake extra environment friendly and optimised fashions, tuned on business-specific information and that may then be deployed throughout the hybrid cloud for each coaching and inference on a wide-range of accelerated compute architectures.
Crimson Hat OpenShift AI
Crimson Hat OpenShift AI supplies an entire AI platform for managing predictive and generative AI (gen AI) lifecycles throughout the hybrid cloud, together with machine studying operations (MLOps) and LLMOps capabilities. The platform supplies the performance to construct predictive fashions and tune gen AI fashions, together with instruments to simplify AI mannequin administration, from information science and mannequin pipelines and mannequin monitoring to governance and extra.
Crimson Hat OpenShift AI 2.18, the newest launch of the platform, provides new updates and capabilities to assist Crimson Hat AI’s purpose of bringing higher optimised and extra environment friendly AI fashions to the hybrid cloud. Key options embrace:
- Distributed serving: Delivered by the vLLM inference server, distributed serving permits IT groups to separate mannequin serving throughout a number of graphical processing models (GPUs). This helps reduce the burden on any single server, accelerates coaching and fine-tuning and makes extra environment friendly use of computing sources, all whereas serving to distribute providers throughout nodes for AI fashions.
- An end-to-end mannequin tuning expertise: Utilizing InstructLab and Crimson Hat OpenShift AI information science pipelines, this new characteristic helps simplify the fine-tuning of LLMs, making them extra scalable, environment friendly and auditable in massive manufacturing environments whereas additionally delivering manageability by the Crimson Hat OpenShift AI dashboard.
- AI Guardrails: Crimson Hat OpenShift AI 2.18 helps enhance LLM accuracy, efficiency, latency and transparency by a know-how preview of AI Guardrails to observe and higher safeguard each consumer enter interactions and mannequin outputs. AI Guardrails affords extra detection factors in serving to IT groups determine and mitigate doubtlessly hateful, abusive or profane speech, personally identifiable info, aggressive info or different information restricted by company insurance policies.
- Mannequin analysis: Utilizing the language mannequin analysis (lm-eval) part to supply essential info on the mannequin’s general high quality, mannequin analysis permits information scientists to benchmark the efficiency of their LLMs throughout quite a lot of duties, from logical and mathematical reasoning to adversarial pure language and extra, in the end serving to to create more practical, responsive and tailor-made AI fashions.
RHEL AI
A part of the Crimson Hat AI portfolio, RHEL AI is a basis mannequin platform to extra persistently develop, take a look at and run LLMs to energy enterprise functions. RHEL AI supplies clients with Granite LLMs and InstructLab mannequin alignment instruments which can be packaged as a bootable Crimson Hat Enterprise Linux server picture and will be deployed throughout the hybrid cloud.
Launched in February 2025, RHEL 1.4 added a number of new enhancements together with:
- Granite 3.1 8B mannequin assist for the newest addition to the open source-licensed Granite mannequin household. The mannequin provides multilingual assist for inference and taxonomy/information customisation (developer preview) together with a 128k context window for improved summarisation outcomes and retrieval-augmented technology (RAG) duties.
- A brand new graphical consumer interface for abilities and information contributions, accessible as a developer preview, to simplify information ingestion and chunking in addition to how customers add their very own abilities and contributions to an AI mannequin.
- Doc Information-bench (DK-bench) for simpler comparisons of AI fashions fine-tuned on related, non-public information with the efficiency of the identical un-tuned base fashions.
Crimson Hat AI InstructLab on IBM Cloud
More and more, enterprises are on the lookout for AI options that prioritise accuracy and information safety, whereas additionally retaining prices and complexity as little as doable. Crimson Hat AI InstructLab deployed as a service on IBM Cloud is designed to simplify, scale and assist enhance the safety footprint for the coaching and deployment of AI fashions. By simplifying InstructLab mannequin tuning, organisations can construct extra environment friendly fashions tailor-made to the organisations’ distinctive wants whereas retaining management of their information.
No-cost AI Foundations coaching
AI is a transformative alternative that’s redefining how enterprises function and compete. To assist organisations on this dynamic panorama, Crimson Hat now affords AI Foundations on-line coaching programs without charge. Crimson Hat is offering two AI studying certificates which can be designed for knowledgeable senior leaders and AI novices alike, serving to educate customers of all ranges on how AI might help remodel enterprise operations, streamline decision-making and drive innovation. The AI Foundations coaching guides customers on easy methods to apply this information when utilizing Crimson Hat AI.
Crimson Hat AI InstructLab on IBM Cloud can be accessible quickly. AI Foundations coaching from Crimson Hat is out there to clients now.
Joe Fernandes, VP and basic supervisor, AI Enterprise Unit, Crimson Hat, mentioned: “Crimson Hat is aware of that enterprises will want methods to handle the rising price of their generative AI deployments, as they create extra use circumstances to manufacturing and run at scale. In addition they want to deal with the problem of integrating AI fashions with non-public enterprise information and be capable to deploy these fashions wherever their information might stay. Crimson Hat AI helps enterprises deal with these challenges by enabling them to leverage extra environment friendly, purpose-built fashions, educated on their information and allow versatile inference throughout on-premises, cloud and edge environments.”
Régis Lesbarreres, superior analytics and AI innovation supervisor, digital innovation, Airbus Helicopters, mentioned: “On the outset of our AI journey, Airbus Helicopters was seeking to combine AI into our present structure, cut back shadow IT, unite our information scientists below a singular AI platform and optimise prices at scale. With Crimson Hat OpenShift AI, we’ve been capable of accomplish all of those objectives, which led to our first enterprise use case for AI. Crimson Hat’s imaginative and prescient for AI aligns with our enterprise aims and permits us to fulfill them whereas sustaining flexibility, accessibility and transparency.”
Javier Olaizola Casin, international managing associate, hybrid cloud and information, IBM Consulting, mentioned: “Companies are more and more making use of AI to rework core enterprise processes, they usually want AI options which can be versatile, cost-effective and tuned with trusted enterprise information to fulfill their distinctive wants. Crimson Hat AI brings the consistency, reliability and pace that organisations want to construct and deploy AI fashions and functions throughout hybrid cloud situations. Combining IBM Consulting’s area, know-how and business experience with Crimson Hat’s AI applied sciences, we’re serving to our purchasers drive ROI from their know-how investments.”
Torsten Volks, principal analyst, software modernisation, ESG, mentioned: “Main organisations harness AI-driven, data-centric resolution making throughout groups and enterprise models. Subsequently, the power to quickly and affordably develop, deploy, combine, scale and govern AI-based capabilities throughout the enterprise turns into a vital success issue. Establishing this functionality requires an open and extensible AI basis that ensures seamless integration with present programs and processes, operational agility and steady governance. Enabling employees and clients to profit from AI capabilities sooner and in a extra complete method is essential for continued enterprise success.”
Anand Swamy, government VP and international head of ecosystems, HCLTech, mentioned: “So as to realise the total potential of generative AI, organisations must prioritise agile and versatile infrastructure. By combining the capabilities of Crimson Hat AI, encompassing RHEL AI and Crimson Hat OpenShift AI to ship an end-to-end AI software platform, with HCLTech’s main AI experience and cognitive infrastructure providers, part of HCLTech AI Foundry answer, clients get a streamlined path to unlocking AI innovation, serving to them overcome frequent challenges reminiscent of information safety, scaling AI workloads and minimising infrastructure prices.”
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