Published Date : 20/10/2025
IBM and Groq have announced a strategic partnership aimed at delivering faster and more cost-effective AI capabilities through IBM watsonx Orchestrate and Groq technology. This collaboration is designed to help enterprise clients take immediate action on complex workflows and scale their AI deployments effectively.
The partnership combines Groq's advanced inference technology, GroqCloud, with IBM's agentic AI orchestration capabilities. GroqCloud is known for its custom LPU (Linear Processing Unit), which delivers over 5 times faster and more cost-efficient inference compared to traditional GPU systems. This results in consistently low latency and dependable performance, even as workloads scale globally.
Enterprises moving AI agents from pilot to production often face significant challenges with speed, cost, and reliability, especially in mission-critical sectors such as healthcare, finance, government, retail, and manufacturing. By integrating Groq's inference speed and cost efficiency with IBM's agentic AI orchestration, the partnership aims to provide the infrastructure needed to help these enterprises scale their AI deployments.
For example, IBM's healthcare clients often receive thousands of complex patient questions simultaneously. With Groq, IBM's AI agents can analyze information in real-time and deliver accurate answers immediately, enhancing customer experiences and enabling organizations to make faster, smarter decisions. This technology is also being applied in non-regulated industries, such as retail and consumer packaged goods, where IBM clients are using Groq for HR agents to help automate HR processes and increase employee productivity.
Rob Thomas, SVP, Software and Chief Commercial Officer at IBM, emphasized the importance of this partnership: 'Many large enterprise organizations have a range of options with AI inferencing when they're experimenting, but when they want to go into production, they must ensure complex workflows can be deployed successfully to ensure high-quality experiences. Our partnership with Groq underscores IBM's commitment to providing clients with the most advanced technologies to achieve AI deployment and drive business value.'
Jonathan Ross, CEO & Founder at Groq, added: 'With Groq's speed and IBM's enterprise expertise, we're making agentic AI real for business. Together, we're enabling organizations to unlock the full potential of AI-driven responses with the performance needed to scale. Beyond speed and resilience, this partnership is about transforming how enterprises work with AI, moving from experimentation to enterprise-wide adoption with confidence, and opening the door to new patterns where AI can act instantly and learn continuously.'
IBM will offer access to GroqCloud's capabilities starting immediately. The joint teams will focus on delivering the following capabilities to IBM clients:
- High-speed and high-performance inference that unlocks the full potential of AI models and agentic AI, powering use cases such as customer care, employee support, and productivity enhancement.
- Security and privacy-focused AI deployment designed to support the most stringent regulatory and security requirements, enabling effective execution of complex workflows.
- Seamless integration with IBM's agentic product, watsonx Orchestrate, providing clients with flexibility to adopt purpose-built agentic patterns tailored to diverse use cases.
The partnership also plans to integrate and enhance Red Hat open source vLLM technology with Groq's LPU architecture to offer different approaches to common AI challenges developers face during inference. This integration will enable watsonx to leverage capabilities in a familiar way and let customers stay in their preferred tools while accelerating inference with GroqCloud. This solution is expected to address key AI developer needs, including inference orchestration, load balancing, and hardware acceleration, ultimately streamlining the inference process.
Together, IBM and Groq provide enhanced access to the full potential of enterprise AI, one that is fast, intelligent, and built for real-world impact.
Statements regarding IBM's and Groq'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 effect 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 Groq
Groq is the inference infrastructure powering AI with the speed and cost it requires. Founded in 2016, Groq developed the LPU and GroqCloud to make compute faster and more affordable. Today, Groq is trusted by over two million developers and teams worldwide and is a core part of the American AI Stack.
Q: What is GroqCloud?
A: GroqCloud is Groq's inference technology that delivers high-speed and cost-efficient AI inference capabilities, powered by its custom LPU (Linear Processing Unit).
Q: How does the partnership between IBM and Groq benefit enterprise clients?
A: The partnership provides enterprise clients with faster and more cost-effective AI inference capabilities, enabling them to scale their AI deployments and handle complex workflows efficiently.
Q: What is IBM watsonx Orchestrate?
A: IBM watsonx Orchestrate is an agentic AI orchestration platform that helps enterprises manage and deploy AI agents and workflows efficiently.
Q: What are the key benefits of integrating Red Hat open source vLLM technology with Groq's LPU architecture?
A: The integration offers different approaches to common AI challenges, including inference orchestration, load balancing, and hardware acceleration, ultimately streamlining the inference process.
Q: How does the partnership address security and privacy concerns in AI deployment?
A: The partnership focuses on providing security and privacy-focused AI deployment, designed to support the most stringent regulatory and security requirements, enabling effective execution of complex workflows.