IBM Taps NVIDIA AI Data Platform Technologies to Accelerate AI at Scale
IBM has announced new collaborations with NVIDIA to enhance enterprise AI capabilities, including planned integrations based on the NVIDIA AI Data Platform reference design. The partnership focuses on helping enterprises scale and manage generative AI workloads and agentic AI applications more effectively.
Key announcements include:
- A new content-aware storage (CAS) capability for IBM Fusion, planned for Q2 2025
- Expanded watsonx integrations with NVIDIA NIM
- Introduction of NVIDIA H200 instances on IBM Cloud
- New IBM Consulting capabilities for agentic reasoning
The collaboration aims to overcome AI's technical challenges through improved data management, performance, security, and governance. According to IBM's 2024 report, 77% of executives now consider generative AI market-ready, up from 36% in 2023.
IBM ha annunciato nuove collaborazioni con NVIDIA per migliorare le capacità di intelligenza artificiale nelle imprese, inclusi integrazioni pianificate basate sul design di riferimento della NVIDIA AI Data Platform. La partnership si concentra sull'aiutare le aziende a scalare e gestire più efficacemente i carichi di lavoro di AI generativa e le applicazioni di AI agentica.
Le principali novità includono:
- Una nuova funzionalità di storage consapevole del contenuto (CAS) per IBM Fusion, prevista per il secondo trimestre del 2025
- Integrazioni espanse di watsonx con NVIDIA NIM
- Introduzione delle istanze NVIDIA H200 su IBM Cloud
- Nuove capacità di consulenza IBM per il ragionamento agentico
La collaborazione mira a superare le sfide tecniche dell'AI attraverso un miglioramento nella gestione dei dati, nelle prestazioni, nella sicurezza e nella governance. Secondo il rapporto del 2024 di IBM, il 77% degli executive considera ora l'AI generativa pronta per il mercato, rispetto al 36% nel 2023.
IBM ha anunciado nuevas colaboraciones con NVIDIA para mejorar las capacidades de IA empresarial, incluyendo integraciones planificadas basadas en el diseño de referencia de la NVIDIA AI Data Platform. La asociación se centra en ayudar a las empresas a escalar y gestionar de manera más efectiva las cargas de trabajo de IA generativa y las aplicaciones de IA agentiva.
Los anuncios clave incluyen:
- Una nueva capacidad de almacenamiento consciente del contenido (CAS) para IBM Fusion, prevista para el segundo trimestre de 2025
- Integraciones ampliadas de watsonx con NVIDIA NIM
- Introducción de instancias NVIDIA H200 en IBM Cloud
- Nuevas capacidades de consultoría de IBM para el razonamiento agentivo
La colaboración tiene como objetivo superar los desafíos técnicos de la IA a través de una mejor gestión de datos, rendimiento, seguridad y gobernanza. Según el informe de IBM de 2024, el 77% de los ejecutivos ahora considera que la IA generativa está lista para el mercado, un aumento del 36% en 2023.
IBM은 NVIDIA와의 새로운 협업을 발표하여 기업 AI 기능을 향상시키고, NVIDIA AI Data Platform 참조 디자인을 기반으로 한 통합 계획을 포함합니다. 이 파트너십은 기업이 생성적 AI 작업과 에이전트 AI 애플리케이션을 보다 효과적으로 확장하고 관리할 수 있도록 돕는 데 중점을 두고 있습니다.
주요 발표 사항은 다음과 같습니다:
- 2025년 2분기로 예정된 IBM Fusion의 콘텐츠 인식 저장소(CAS) 기능
- NVIDIA NIM과의 watsonx 통합 확대
- IBM Cloud에서 NVIDIA H200 인스턴스 도입
- 에이전트적 추론을 위한 새로운 IBM 컨설팅 기능
이번 협업은 데이터 관리, 성능, 보안 및 거버넌스 개선을 통해 AI의 기술적 도전을 극복하는 것을 목표로 합니다. IBM의 2024년 보고서에 따르면, 77%의 경영진이 이제 생성적 AI가 시장 준비가 되었다고 생각하며, 이는 2023년의 36%에서 증가한 수치입니다.
IBM a annoncé de nouvelles collaborations avec NVIDIA pour améliorer les capacités d'IA des entreprises, y compris des intégrations prévues basées sur le design de référence de la NVIDIA AI Data Platform. Le partenariat se concentre sur l'aide aux entreprises pour échelonner et gérer plus efficacement les charges de travail d'IA générative et les applications d'IA agentive.
Les principales annonces comprennent:
- Une nouvelle capacité de stockage consciente du contenu (CAS) pour IBM Fusion, prévue pour le deuxième trimestre 2025
- Intégrations étendues de watsonx avec NVIDIA NIM
- Introduction des instances NVIDIA H200 sur IBM Cloud
- Nouvelles capacités de conseil IBM pour le raisonnement agentif
La collaboration vise à surmonter les défis techniques de l'IA grâce à une meilleure gestion des données, des performances, de la sécurité et de la gouvernance. Selon le rapport 2024 d'IBM, 77 % des dirigeants considèrent désormais que l'IA générative est prête pour le marché, contre 36 % en 2023.
IBM hat neue Kooperationen mit NVIDIA angekündigt, um die KI-Fähigkeiten von Unternehmen zu verbessern, einschließlich geplanter Integrationen basierend auf dem Referenzdesign der NVIDIA AI Data Platform. Die Partnerschaft konzentriert sich darauf, Unternehmen dabei zu helfen, generative KI-Workloads und agentische KI-Anwendungen effektiver zu skalieren und zu verwalten.
Wichtige Ankündigungen umfassen:
- Eine neue inhaltsbewusste Speicherfunktion (CAS) für IBM Fusion, die für das zweite Quartal 2025 geplant ist
- Erweiterte watsonx-Integrationen mit NVIDIA NIM
- Einführung von NVIDIA H200-Instanzen auf IBM Cloud
- Neue IBM Beratungsfähigkeiten für agentisches Denken
Die Zusammenarbeit zielt darauf ab, technische Herausforderungen der KI durch verbesserte Datenverwaltung, Leistung, Sicherheit und Governance zu überwinden. Laut dem Bericht von IBM 2024 betrachten 77 % der Führungskräfte generative KI jetzt als marktreif, ein Anstieg von 36 % im Jahr 2023.
- Launch of advanced content-aware storage capability for improved AI performance
- Integration of watsonx with NVIDIA NIM for enhanced AI model deployment
- Addition of powerful NVIDIA H200 GPU instances to IBM Cloud
- New consulting services for industry-specific AI implementations
- None.
Insights
IBM's expanded partnership with NVIDIA represents a significant strategic move in enterprise AI infrastructure at a pivotal market moment. With
The collaboration addresses several key enterprise pain points in AI implementation: scaling generative AI workloads, managing unstructured data, and enabling agentic AI applications. By integrating NVIDIA's hardware acceleration capabilities with IBM's enterprise-grade software and consulting services, IBM is creating differentiated offerings that could drive meaningful revenue opportunities across multiple business segments.
Particularly notable is IBM's content-aware storage capability, which targets the expensive and complex challenge of processing unstructured data for AI applications. By embedding this within IBM Fusion and leveraging NVIDIA's specialized hardware, IBM is addressing a critical bottleneck in enterprise AI deployment while potentially driving higher-margin storage solutions.
The watsonx platform integration with NVIDIA NIM creates a more comprehensive and flexible AI development environment that should appeal to enterprises requiring both model development flexibility and governance capabilities. Meanwhile, the introduction of NVIDIA H200 instances on IBM Cloud strengthens IBM's competitive position in the high-performance AI infrastructure market.
This multi-faceted collaboration reinforces IBM's enterprise-focused AI strategy, emphasizing hybrid cloud deployments and trustworthy AI - areas where IBM has established differentiation against hyperscaler competitors.
IBM's expanded NVIDIA partnership addresses the critical infrastructure gap many enterprises face when scaling AI from experiments to production. The multi-layered integration spans hardware, software, and services, creating a more cohesive technical foundation for enterprise AI adoption.
The most technically significant announcement is the content-aware storage capability, which transforms how unstructured data is processed for AI applications. By extracting meaning from unstructured data directly at the storage layer using NVIDIA BlueField-3 DPUs and optimized networking, IBM is implementing a fundamental architectural improvement for AI workflows. This approach substantially reduces the data movement that typically creates bottlenecks in RAG and reasoning applications.
The watsonx integration with NVIDIA NIM microservices represents an important shift toward more interoperable AI systems. This technical design allows enterprises to mix and match AI models and services across environments while maintaining governance - a important capability as organizations build increasingly complex AI architectures combining various specialized models.
The addition of NVIDIA H200 instances to IBM Cloud specifically targets large foundation model training and inference, with memory capacity and bandwidth optimized for these workloads. This hardware expansion aligns with the trend toward larger, more capable models requiring specialized infrastructure.
IBM Consulting's focus on agentic AI implementation leveraging NVIDIA Blueprints shows how emerging autonomous AI systems are being deployed in industrial contexts. The emphasis on edge AI processing for use cases like autonomous inspection indicates how IBM is bringing AI capabilities beyond the data center, creating new application possibilities that weren't previously feasible.
Introducing New Storage Capabilities for Unstructured Data, Planned Integrations with watsonx and IBM Consulting Capabilities for Agentic Reasoning and other AI Workloads
A 2024 IBM report found that more than three in four executives surveyed (77 percent) say generative AI is market-ready, up from just 36 percent in 2023. With this push to put AI into production comes an increased need for compute and data-intensive technologies. The collaboration between IBM and NVIDIA will enable IBM to provide hybrid AI solutions that take advantage of open technologies and platforms while also supporting data management, performance, security, and governance.
Leveraging the NVIDIA AI Data Platform reference architecture, these new solutions are the latest in the IBM and NVIDIA collaboration to build enterprise infrastructure for AI:
- Augmenting Unstructured Data Processing for AI Performance: With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year.
- Enabling More Accessible AI: IBM plans to integrate its watsonx offerings with NVIDIA NIM as part of a larger effort to provide access to leading AI models across multiple cloud environments. This will allow organizations to leverage watsonx.ai, IBM's enterprise-grade AI platform and developer studio, to develop and deploy AI models into their applications of choice while utilizing externally hosted models. IBM's watsonx.governance also allows enterprises to implement robust monitoring and governance of NVIDIA NIM microservices across any hosting environment. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration.
- Increasing Support for Compute-Intensive Workloads: With more enterprises embracing generative AI and high-performance computing (HPC), IBM Cloud expanded its NVIDIA accelerated computing portfolio by announcing the availability of NVIDIA H200 instances on IBM Cloud. With its large memory capacity and high bandwidth, the NVIDIA H200 Tensor Core GPU instances are engineered to meet the demands of modern AI workloads and larger foundation models.
- Transforming Processes with Agentic AI and NVIDIA: IBM Consulting is introducing AI Integration Services to help clients transform and govern end-to-end business processes with agentic AI using NVIDIA Blueprints, such as industry-specific workflows that require agentic AI at the edge. Example use cases include autonomous inspection and maintenance in the manufacturing industry or proactive video data analysis and anomaly response in the energy industry.
- Optimizing Compute Intensive AI Workloads Across Hybrid Cloud Environments: IBM Consulting helps clients build, modernize and manage compute-intensive AI workloads across hybrid cloud environments leveraging RedHat OpenShift and NVIDIA AI. This includes technologies like NVIDIA AI Foundry, NVIDIA NeMo, NVIDIA AI Enterprise, NVIDIA Blueprints, and NVIDIA Clara to accelerate high-compute, complex tasks, while managing AI governance, data security and compliance requirements.
"IBM is focused on helping enterprises build and deploy effective AI models and scale with speed," said Hillery Hunter, CTO and General Manager of Innovation, IBM Infrastructure. "Together, IBM and NVIDIA are collaborating to create and offer the solutions, services and technology to unlock, accelerate, and protect data – ultimately helping clients overcome AI's hidden costs and technical hurdles to monetize AI and drive real business outcomes."
"AI agents need to rapidly access, fetch and process data at scale, and today, these steps occur in separate silos," said Rob Davis, vice president, Storage Networking Technology, NVIDIA. "The integration of IBM's content-aware storage with NVIDIA AI orchestrates data and compute across an optimized network fabric to overcome silos with an intelligent, scalable system that drives near real-time inference for responsive AI reasoning."
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