ModulAIre Granted Fusemachines IBM Fusion Access
The partnership aims to accelerate the development and optimization of new AI Twin technology.
Updated on Sept. 28, 2026 in Artificial Intelligence
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ModulAIre has provided Fusemachines with access to its customized IBM Fusion infrastructure at a nominal cost. This collaboration follows the launch of Fusemachines' AI Twin technology and is designed to boost research capabilities.
Why it matters
By leveraging specialized hardware integrated with Red Hat OpenShift, Fusemachines intends to speed up the tuning and experimentation process for its enterprise AI product portfolio.
ModulAIre customized its Fusion hardware for AI optimization and storage-to-inference operations, integrating the systems with Red Hat OpenShift. The infrastructure supports the rapid development and evaluation of complex AI models.
The players
Fusemachines
Founded in 2013, the company specializes in enterprise AI products and recently launched AI Twin technology.
modulAIre
An IBM Platinum Business Partner that specializes in digital transformation and AI-optimized hardware infrastructure.
The details
ModulAIre, an IBM Platinum Business Partner, provided the infrastructure to support Fusemachines' research into AI Twin technology. The initiative allows Fusemachines to scale its model development and improve its enterprise offerings using purpose-built AI hardware.
Timeline
Fusemachines was founded in 2013.
The companies established a strategic partnership in February 2026.
Fusemachines unveiled its AI Twin technology on September 17, 2026.
Infrastructure access was granted to Fusemachines on September 28, 2026.
The Tech Race
This move represents a shift toward specialized hardware stacks designed to solve the inference bottlenecks inherent in modern enterprise AI development. By bypassing standard cloud configurations, the companies are positioning themselves to compete with high-performance AI research firms.
Enterprise clients using Fusemachines products may see faster updates and more robust model performance as the company refines its AI Twin research. The integration of high-speed infrastructure ultimately aims to reduce wait times for tuning and deployment of enterprise-grade AI solutions.
The takeaway
Access to specialized computing power remains a significant driver for rapid iteration in the competitive enterprise AI sector. Companies that successfully optimize their hardware stacks are better positioned to bring complex technologies like AI Twins to market faster.
Further reading
Learn more about the latest industry trends by visiting the Artificial Intelligence section.
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