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Flowfinity Upgrades Data Centers to Future-Proof AI Expansion and Increase Resilience

Flowfinity Upgrades Data Centers to Future-Proof AI Expansion and Increase Resilience

Flowfinity logo.

Flowfinity, a leading process management platform for workflow automation and data visualization, has made significant data center infrastructure investments to ensure future processing capacity as AI adoption increases.

Also Read: TECfusions Secures Landmark 1 GW Capacity Commitment from TensorWave for AI-Ready Infrastructure

Flowfinity operates a pair of redundant data centers on its own network, including links between the two, located in and managed from Canada to host cloud systems for their customers. One is in Toronto, Ontario, and the other in Vancouver, BC.

The distance of over 2000 miles between these two locations is ideal for disaster resilience as each data center is self-sufficient with multiple degrees of built-in redundancies. Together, these two data centers allow Flowfinity to provide uninterrupted service to their customers during a localized power outage, equipment failure, or other unforeseen event.

In a significant move to support their clients current and future processing requirements as they incorporate AI capabilities into their business processes, Flowfinity has undertaken a substantial expansion and upgrade of its Toronto data center as part of their ongoing commitment to enhancing service capabilities.

Upgrades include doubling their physical footprint and power allocation, laying new fiber cables, upgrading server capacity, and expanding network redundancy to ensure continuous service and AI readiness for any future project or deployment.

“We’re excited to make these material infrastructure investments to support our client’s current and future processing requirements as they incorporate AI into their business processes,” said Larry Wilson, Vice President. “With these improvements, we’re ensuring optimal capacity for AI readiness while increasing our protection against system outages through redundancy and disaster resilience.”

Following several research projects conducted in the Flowfinity AI lab, they have deployed new clusters of Nvidia accelerators in their newly expanded Toronto data center to support upcoming AI-power capabilities in Flowfinity products. Flowfinity’s data centers are well prepared to accommodate increasing customer demand for AI technology.

By deploying self-managed AI accelerators, Flowfinity can continue to offer customers encapsulated cloud services where client data sovereignty is preserved and managed predictably. This is their commitment as AI capabilities are incorporated into future versions of Flowfinity products.

Also Read: CIO Influence Interview with John Qian, CISO at Aviatrix

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