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IBM - Announcements

IBM and NASA Release Open-Source AI Model to Support Lunar Exploration IBM, Lockheed Martin Announce Swiss Quantum Innovation Hub at ETH Zurich, Anchored by Switzerland’s First IBM Quantum Computer LTM Collaborates with IBM and Red Hat on Lightwell to Advance AI-Driven Open-Source Software Remediation Cleveland Clinic, RIKEN and IBM Team Advance to Finals for 2026 ACM Gordon Bell Prize New IBM Study Finds AI Adoption Is Outpacing K-12 Readiness IBM Brings AI-Powered US Open Fan Experience Back to Madison Square Park IBM Completes Acquisition of HRL Laboratories to Accelerate the Future of Quantum IBM Unveils Next Generation Dual-Architecture Processor for IBM Z and LinuxONE IBM and the USTA Introduce New AI-Powered Fan Experiences for 2026 US Open IBM Study: Sports Fans Want Streamlined Digital Experiences as Platform Choices Expand IBM Connects Its First Modular Cryogenic Systems in Milestone Toward Fault-Tolerant Quantum Computing IBM Partners with OpenAI to Accelerate Secure AI Deployment for Enterprises Across Core Operations IBM Introduces Apptio AI Value & ROI to Close the Gap Between AI Spend and Business Results IBM and Red Hat Offer Lightwell at No Cost to Universities, NGOs and Think Tanks IBM and Algorithmiq Demonstrate Quantum Advantage, Establishing a Framework for Trusted Quantum Computation Beyond Classical Verification IBM and Qedma Demonstrate Quantum Advantage, Modeling Physics Beyond Classical Capabilities Through Trusted Quantum Computation IBM and The University of Chicago Demonstrate Quantum Advantage, Establishing Trusted Quantum Computation on Logical Circuits IBM Study: One in Four Malicious Breaches are AI-Enabled, Costing Companies $6 Million on Average IBM to Acquire HRL Laboratories to Power the Future of Quantum IBM RELEASES SECOND-QUARTER RESULTS IBM Launches New Power Systems and Software Built for Enterprises to Address Risk, Productivity, and Flexibility Arvind Krishna IBM Advances Enterprise AI Software Development with Multi-Agent Capabilities and Specialized Modernization Workflows IBM to Announce Second-Quarter 2026 Financial Results IBM and Red Hat Expand Lightwell with New Offerings to Build the Trust Infrastructure for AI-Era Open Source IBM Launches Compact z17 and LinuxONE Systems to Address Data Center Space and Cost Constraints Oak Ridge National Lab, Cleveland Clinic, and IBM Achieve First-Known Computations of Fusion Materials on a Quantum Computer IBM, Red Hat, and Deloitte Announce Lightwell Collaboration to Help Strengthen Open Source Software Supply Chain Trust IBM Debuts World’s First Sub-1 Nanometer Chip Technology IBM, Red Hat and Palo Alto Networks Expand Project Lightwell to Help Organizations Respond to Software Vulnerabilities
IBM and Together AI Sign Multi-Year Agreement to Scale Op...
2026-08-11 · via IBM - Announcements

First large-scale inference cluster with Together AI on IBM Cloud using NVIDIA HGX B300 systems to help enterprises run AI workloads, designed for fast and efficient production

, /PRNewswire/ -- IBM (NYSE: IBM) announced a collaboration with Together AI to deliver IBM and NVIDIA AI infrastructure. Under a multi-year $240M agreement between IBM and Together AI, IBM is positioned to deploy a large cluster of NVIDIA HGX B300 systems on IBM Cloud with expected availability in Q1 2027. Together AI will use this cluster to provide open-source model inference. This deployment is the first dedicated, large-scale cluster built for inference on IBM Cloud using HGX B300 systems and NVIDIA Spectrum-XTM Ethernet networking. According to NVIDIA, it is built to deliver 30x more AI factory output compared to prior generations.

IBM Corporation logo.

This collaboration aims to enable Together AI to deliver better performance and token economics to enterprises as they look to efficiently scale their AI deployments. Together AI is built on the principle that open-source models are essential for the future of AI and developers should be able to build using open, modular stacks. The company recently raised an $800M Series C financing round at an $8.3B valuation to expand its AI Native Cloud and its platform spans capabilities across inference, training, fine tuning, and agentic workflows. The company reports that it has seen significant momentum for its inference product, now serving 400 trillion tokens monthly.         

Together AI selected IBM with NVIDIA because of their innovative product roadmaps and their ability to deliver GPU capacity at the pace required for rapid AI scaling and lowest token cost. Building on IBM's expertise in delivering enterprise-grade cloud capabilities, this collaboration aims to help Together AI to continue its expansion into the enterprise space while making open-source AI more accessible to developers and enterprises around the world.

"Enterprises want the performance of the best frontier models without the closed-model price tag, and that only works if the infrastructure underneath is fast and reliable at scale," said Vipul Ved Prakash, CEO at Together AI. "Working alongside IBM with NVIDIA gives us that foundation. This cluster lets us bring production-grade inference to more companies, faster, and it's a big step in our push to make open-source AI the obvious choice for enterprises."

IBM and NVIDIA Expand Collaboration to Power the Next Wave of AI Innovation

"Enterprises are in a race to adopt agentic AI at scale to drive real business outcomes," said Alan Peacock, General Manager of IBM Cloud. "IBM and NVIDIA are delivering scalable, economical, enterprise-grade AI infrastructure that can help Together AI accelerate innovation for the next generation of AI infrastructure."

"AI factories are becoming essential enterprise infrastructure—like electricity and telecommunications—turning compute and data into intelligence," said Dion Harris, Senior Director, HPC and AI Infrastructure Solutions, NVIDIA. "With NVIDIA HGX B300 systems and NVIDIA Spectrum-X Ethernet networking on IBM Cloud, IBM and Together AI will deliver an accelerated computing platform to help enterprises deploy open-source AI with the performance, efficiency and scale required for real-time AI services."

This work is the latest example of a larger collaboration between IBM and NVIDIA, who continue to work together to advance AI across infrastructure and software, to deliver performance and efficiency for enterprise and startup clients. A hybrid environment on IBM Cloud powered by NVIDIA GPUs connected with NVIDIA Spectrum-X Ethernet networking and Together AI's inference platform gives organizations a reliable foundation to build, deploy and scale AI systems. Additionally, IBM and NVIDIA recently announced progress across GPU-native data analytics, unstructured data extraction, on-premises and cloud infrastructure, and consulting services. These advancements are designed to help organizations operationalize AI at scale. For more information about the IBM and NVIDIA collaboration, visit www.ibm.com/products/gpu-ai-accelerator/nvidia.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain a competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

About Together AI
Together AI is the AI Native Cloud, combining state-of-the-art open-source models, high-performance infrastructure, and frontier research in AI efficiency and scalability. Founded in 2022, Together AI powers over a million of developers and some of the world's most demanding AI workloads, delivering production-scale inference, training, and reinforcement learning for the next generation of AI-native companies.

Media Contact
Kate Gazzillo 
kate.gazzillo@ibm.com

SOURCE IBM