Collaboration aims to provide faster agentic AI capabilities with IBM watsonx Orchestrate and Groq modern technology, making it possible for business customers to take prompt activity on intricate workflows
Oct 20, 2025
ARMONK, N.Y. and HILL SIGHT, Calif. , Oct. 20, 2025 / PRNewswire /– IBM (NYSE: IBM and Groq today introduced a strategic go-to-market and modern technology partnership developed to offer clients prompt accessibility to Groq’s reasoning modern technology, GroqCloud , on watsonx Manage — offering customers high-speed AI inference capabilities at an expense that helps accelerate agentic AI deployment. As component of the collaboration, Groq and IBM strategy to incorporate and improve RedHat open source vLLM technology with Groq’s LPU architecture. IBM Granite models are additionally planned to be supported on GroqCloud for IBM clients.
Enterprises moving AI agents from pilot to production still encounter difficulties with rate, cost, and dependability, particularly in mission-critical markets like medical care, financing, federal government, retail, and manufacturing. This partnership incorporates Groq’s reasoning rate, price performance, and access to the latest open-source versions with IBM’s agentic AI orchestration to supply the facilities required to aid enterprises range.
Powered by its custom LPU, GroqCloud provides over 5 X quicker and more affordable inference than standard GPU systems. The outcome is continually reduced latency and trustworthy efficiency, also as work scale worldwide. This is particularly powerful for agentic AI in controlled markets.
For example, IBM’s health care customers receive hundreds of complicated individual inquiries concurrently. With Groq, IBM’s AI agents can analyze details in real-time and provide accurate responses promptly to improve customer experiences and enable organizations to make faster, smarter decisions.
This modern technology is also being used in non-regulated industries. IBM clients throughout retail and customer packaged goods are making use of Groq for HR agents to help boost automation of HR procedures and enhance worker efficiency.
“Many large enterprise companies have a variety of choices with AI inferencing when they’re exploring, yet when they intend to enter into production, they should guarantee complex workflows can be released successfully to ensure top quality experiences,” claimed Rob Thomas , SVP, Software Program and Principal Commercial Police Officer at IBM “Our partnership with Groq emphasizes IBM’s commitment to supplying customers with the most sophisticated innovations to accomplish AI deployment and drive service worth.”
“With Groq’s rate and IBM’s business knowledge, we’re making agentic AI genuine for business. With each other, we’re allowing organizations to unlock the complete capacity of AI-driven responses with the performance required to scale,” said Jonathan Ross , CHIEF EXECUTIVE OFFICER & & Owner at Groq “Beyond rate and durability, this partnership is about transforming just how business work with AI, moving from testing to enterprise-wide adoption with self-confidence, and unlocking to new patterns where AI can act immediately and discover continually.”
IBM will certainly provide accessibility to GroqCloud’s capabilities beginning immediately and the joint groups will focus on providing the adhering to abilities to IBM customers, consisting of:
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- Broadband and high-performance inference that opens the full possibility of AI designs and agentic AI, powering usage instances such as consumer care, staff member assistance and performance improvement.
- Security and privacy-focused AI deployment made to support the most rigid regulative and security needs, allowing efficient implementation of intricate operations.
- Smooth integration with IBM’s agentic item , watsonx Orchestrate, offering customers versatility to embrace purpose-built agentic patterns customized to diverse use cases.
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The collaboration also prepares to incorporate and enhance RedHat open resource vLLM modern technology with Groq’s LPU design to supply different methods to common AI challenges developers deal with during inference. The service is expected to make it possible for watsonx to leverage abilities in a familiar way and let customers stay in their chosen tools while speeding up inference with GroqCloud. This assimilation will address vital AI developer requires, including reasoning orchestration, lots balancing, and equipment acceleration, eventually streamlining the reasoning procedure.
With each other, IBM and Groq offer improved access fully potential of business AI, one that is fast, smart, and constructed for real-world influence.
Declarations concerning IBM’s and Groq’s future instructions and intent are subject to change or withdrawal without notification, and represent goals and objectives only.
Regarding IBM
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IBM is a leading provider of worldwide crossbreed cloud and AI, and seeking advice from proficiency. We aid customers in more than 175 countries profit from understandings from their information, enhance service processes, reduce expenses, and obtain a competitive edge in their industries. Countless federal governments and business entities in important facilities areas such as financial solutions, telecommunications and medical care rely on IBM’s hybrid cloud system and Red Hat OpenShift to affect their digital improvements promptly, efficiently, and securely. IBM’s development technologies in AI, quantum computer, industry-specific cloud solutions and consulting deliver open and flexible options to our customers. All of this is backed by IBM’s long-lasting dedication to trust, transparency, duty, inclusivity, and solution. Check out www.ibm.com for more information.
Concerning Groq
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Groq is the reasoning infrastructure powering AI with the speed and cost it requires. Established in 2016, Groq created the LPU and GroqCloud to make compute faster and extra inexpensive. Today, Groq is trusted by over two million developers and groups worldwide and is a core part of the American AI Stack.
Media Contact:
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Elizabeth Brophy
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elizabeth.brophy@ibm.com
SOURCE IBM
