Efforts to move artificial intelligence from testing to full
deployment are gaining pace, as Equinix expands its partnerships with Cisco and
NVIDIA to deliver ready-to-use infrastructure for enterprises.
The company said it will deploy the Cisco Secure AI Factory
with NVIDIA across its global data center network. The rollout introduces
standardized designs and automation tools that aim to simplify how companies
build and scale AI systems.
Although Equinix’s new AI offering does not target FX and CFD brokers specifically, but it can matter a lot for them in practice. It means brokers can run AI models in the same data centers where they already host trading servers, liquidity bridges, and connections to banks and prime brokers.
AI needs a foundation.
Equinix is teaming up with @Cisco and @NVIDIA to give enterprises the power, cooling, interconnection, and validated architectures to move AI from experiments into full production.
CRN has the full story, read it here: https://t.co/2yW60XfIXt pic.twitter.com/tD22mfWVqP
— Equinix, Inc. (@Equinix) June 16, 2026
Infrastructure to support AI scale
Equinix will base the deployments on NVIDIA reference
architectures, which provide pre-configured setups for AI workloads. These
designs align with how enterprises typically deploy technology through partners
and existing infrastructure platforms.
The company said its data centers offer the connectivity
Connectivity
Connectivity is defined as a term used for connecting devices to each other. In most cases, this refers to computer networking and more specifically includes bridges, routers, switches, gateways, and service as well as local networks. Connectivity can refer to simple forms, such as connecting a home or office to the internet or even connecting a digital camera to a computer or printer. Connectivity in FinanceConnectivity has taken on new meaning with the growth of fintech and Big Data collectio
Connectivity is defined as a term used for connecting devices to each other. In most cases, this refers to computer networking and more specifically includes bridges, routers, switches, gateways, and service as well as local networks. Connectivity can refer to simple forms, such as connecting a home or office to the internet or even connecting a digital camera to a computer or printer. Connectivity in FinanceConnectivity has taken on new meaning with the growth of fintech and Big Data collectio
Read this Term,
power supply, and cooling systems required for high-performance computing. This
setup supports distributed AI, where workloads operate across cloud,
on-premises, and colocation environments.
Read more: Equinix Posts $2.44 Billion in Q1 Revenue and Lifts Full-Year Outlook on AI Demand
"The success of enterprise AI starts with its physical
foundation," said Gordon Mackintosh, Senior Vice President, Global Partner
Sales and Ecosystems at Equinix. "Our collaboration with Cisco, NVIDIA and
Presidio delivers the infrastructure AI workloads demand while giving customers
a place to prove it out before they scale. This is how AI shifts from pilot to
production with the speed, simplicity and certainty businesses need."
Equinix is also working with Presidio to launch the
Programmable AI Technology Hub (P.A.T.H.) Lab inside its data centers. The
facility provides a production-grade environment where enterprises can test and
validate AI systems before full rollout.
Lab to Test Deployments
The lab runs on the same infrastructure used in live
deployments, allowing companies to assess performance and refine their
strategies under real conditions. This approach aims to reduce uncertainty and
improve decision-making before scaling projects.
The initiative reflects a broader shift toward integrated
ecosystems, where infrastructure providers and technology partners work
together to streamline enterprise AI deployment.
Cisco and NVIDIA had already launched the Cisco Secure AI Factory earlier as a way for companies to get a ready-made setup for running AI with built‑in security across compute, networking, and data. This gave enterprises a blueprint instead of forcing them to design everything from scratch. Cisco also rolled out Nexus HyperFabric AI, which combines its networking gear with NVIDIA GPUs to create complete clusters for generative AI.
The idea is to give firms a full stack they can deploy and manage more easily. Equinix and NVIDIA previously introduced Equinix Private AI with NVIDIA DGX, a hosted service where Equinix manages DGX systems in its data centers. That offering lets enterprises access high‑end NVIDIA hardware without building or running their own AI data centers.
Equinix posted strong first‑quarter results, with revenue rising 10% to $2.44 billion and record adjusted EBITDA margins prompting the data center
Data Center
A data center is a building or network used to house computer systems and associated components, such as telecommunications and storage systems.This generally includes redundant or backup power supplies, redundant data communications connections, environmental controls, and various security devices. Large data centers are industrial scale operations using as much electricity as a small town.Over the past decade, data center space has been growing at an incredible rate. This has increased as more
A data center is a building or network used to house computer systems and associated components, such as telecommunications and storage systems.This generally includes redundant or backup power supplies, redundant data communications connections, environmental controls, and various security devices. Large data centers are industrial scale operations using as much electricity as a small town.Over the past decade, data center space has been growing at an incredible rate. This has increased as more
Read this Term operator to lift its full‑year 2026 guidance. The firm pointed to record bookings and accelerating AI‑related demand alongside a 21% jump in net income to $415 million and a 26% increase in operating income to $577 million.
Efforts to move artificial intelligence from testing to full
deployment are gaining pace, as Equinix expands its partnerships with Cisco and
NVIDIA to deliver ready-to-use infrastructure for enterprises.
The company said it will deploy the Cisco Secure AI Factory
with NVIDIA across its global data center network. The rollout introduces
standardized designs and automation tools that aim to simplify how companies
build and scale AI systems.
Although Equinix’s new AI offering does not target FX and CFD brokers specifically, but it can matter a lot for them in practice. It means brokers can run AI models in the same data centers where they already host trading servers, liquidity bridges, and connections to banks and prime brokers.
AI needs a foundation.
Equinix is teaming up with @Cisco and @NVIDIA to give enterprises the power, cooling, interconnection, and validated architectures to move AI from experiments into full production.
CRN has the full story, read it here: https://t.co/2yW60XfIXt pic.twitter.com/tD22mfWVqP
— Equinix, Inc. (@Equinix) June 16, 2026
Infrastructure to support AI scale
Equinix will base the deployments on NVIDIA reference
architectures, which provide pre-configured setups for AI workloads. These
designs align with how enterprises typically deploy technology through partners
and existing infrastructure platforms.
The company said its data centers offer the connectivity
Connectivity
Connectivity is defined as a term used for connecting devices to each other. In most cases, this refers to computer networking and more specifically includes bridges, routers, switches, gateways, and service as well as local networks. Connectivity can refer to simple forms, such as connecting a home or office to the internet or even connecting a digital camera to a computer or printer. Connectivity in FinanceConnectivity has taken on new meaning with the growth of fintech and Big Data collectio
Connectivity is defined as a term used for connecting devices to each other. In most cases, this refers to computer networking and more specifically includes bridges, routers, switches, gateways, and service as well as local networks. Connectivity can refer to simple forms, such as connecting a home or office to the internet or even connecting a digital camera to a computer or printer. Connectivity in FinanceConnectivity has taken on new meaning with the growth of fintech and Big Data collectio
Read this Term,
power supply, and cooling systems required for high-performance computing. This
setup supports distributed AI, where workloads operate across cloud,
on-premises, and colocation environments.
Read more: Equinix Posts $2.44 Billion in Q1 Revenue and Lifts Full-Year Outlook on AI Demand
"The success of enterprise AI starts with its physical
foundation," said Gordon Mackintosh, Senior Vice President, Global Partner
Sales and Ecosystems at Equinix. "Our collaboration with Cisco, NVIDIA and
Presidio delivers the infrastructure AI workloads demand while giving customers
a place to prove it out before they scale. This is how AI shifts from pilot to
production with the speed, simplicity and certainty businesses need."
Equinix is also working with Presidio to launch the
Programmable AI Technology Hub (P.A.T.H.) Lab inside its data centers. The
facility provides a production-grade environment where enterprises can test and
validate AI systems before full rollout.
Lab to Test Deployments
The lab runs on the same infrastructure used in live
deployments, allowing companies to assess performance and refine their
strategies under real conditions. This approach aims to reduce uncertainty and
improve decision-making before scaling projects.
The initiative reflects a broader shift toward integrated
ecosystems, where infrastructure providers and technology partners work
together to streamline enterprise AI deployment.
Cisco and NVIDIA had already launched the Cisco Secure AI Factory earlier as a way for companies to get a ready-made setup for running AI with built‑in security across compute, networking, and data. This gave enterprises a blueprint instead of forcing them to design everything from scratch. Cisco also rolled out Nexus HyperFabric AI, which combines its networking gear with NVIDIA GPUs to create complete clusters for generative AI.
The idea is to give firms a full stack they can deploy and manage more easily. Equinix and NVIDIA previously introduced Equinix Private AI with NVIDIA DGX, a hosted service where Equinix manages DGX systems in its data centers. That offering lets enterprises access high‑end NVIDIA hardware without building or running their own AI data centers.
Equinix posted strong first‑quarter results, with revenue rising 10% to $2.44 billion and record adjusted EBITDA margins prompting the data center
Data Center
A data center is a building or network used to house computer systems and associated components, such as telecommunications and storage systems.This generally includes redundant or backup power supplies, redundant data communications connections, environmental controls, and various security devices. Large data centers are industrial scale operations using as much electricity as a small town.Over the past decade, data center space has been growing at an incredible rate. This has increased as more
A data center is a building or network used to house computer systems and associated components, such as telecommunications and storage systems.This generally includes redundant or backup power supplies, redundant data communications connections, environmental controls, and various security devices. Large data centers are industrial scale operations using as much electricity as a small town.Over the past decade, data center space has been growing at an incredible rate. This has increased as more
Read this Term operator to lift its full‑year 2026 guidance. The firm pointed to record bookings and accelerating AI‑related demand alongside a 21% jump in net income to $415 million and a 26% increase in operating income to $577 million.
