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Ipanema Technologies Announces New ip|engine 400ax

Ipanema Technologies introduced its new ip|engine 400ax. This new device enables companies to guarantee the performance of their business critical applications such as Unified Communications, ERP and CRM, easily move these applications into the cloud as well as control Internet, social media and video traffic across 300Mbps. These engines will benefit large branch offices, headquarters and small data-centers alike, allowing enterprises greater visibility and higher bandwidth to manage the growing performance demand from today’s new network usages.

The ip|e 400ax allows for the management of up to 5000 users and 300 Mbps, bolstering Ipanema’s existing range of appliances designed for various WAN link capacities and numbers of users on a site. This family of physical and virtual appliances are key components of Ipanema’s Autonomic Networking System (ANS), the central management platform for orchestrating all of Ipanema’s diverse functions: Application Visibility, Application Control, WAN Optimization and Network Rightsizing. All these elements allow the Ipanema’s system to guarantee business application performance over complex and large networks with offices of all size, from the smallest branch to the largest data center.

In addition to Ipanema’s standard features, the new ip|e 400ax comes with numerous additional benefits, such as:

- Application visibility and control for branch office networks up to 300Mbps with support for any IP network, using a variety of access technology including Ethernet, Internet, MPLS, and LTE.

- The ability to manage redundant networks with a single device via dual fail-safe hardware capabilities. This allows for simpler installation at lower cost for enterprises.

- Dynamic WAN Selection capabilities to maximize the value of multiple network combinations (such as dual MPLS access, dual service providers or MPLS + Internet) by unifying application performance and ensuring the optimum usage of each available path between sites.

- Users of the ip|e 400ax will also benefit from WAN optimization capabilities for network links up to 100Mbps.

- Ip|e 400ax also exists as a virtual appliance, as part of the full virtualization portfolio.

“We see increasing demand from enterprises and our service provider partners to deploy 300Mbps networks to large branch offices but also small data centers, often using a variety of technologies. Even sites with very high capacity networks need centralized control. The ability to guarantee application performance is essential if companies are to manage traffic according to their business needs,” said Matthieu Silbermann, Director of Product Marketing, Ipanema.

Ipanema’s rollout of the ip|e 400ax is designed to manage and control the growing demand on large-sized branch offices and small data centers.

“Roughly 10% of our customers currently use 300Mbps bandwidth capacity in their large-sized branches. We expect this number to approach 50% as early as 2017. Additionally, roughly 50% of customers use the same bandwidth capacity in their small data centers. The ability to monitor, prioritize, and control business critical application performance remains key to ensuring business productivity” said Béatrice Piquer-Durand, Ipanema VP of Marketing.

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Ipanema Technologies Announces New ip|engine 400ax

Ipanema Technologies introduced its new ip|engine 400ax. This new device enables companies to guarantee the performance of their business critical applications such as Unified Communications, ERP and CRM, easily move these applications into the cloud as well as control Internet, social media and video traffic across 300Mbps. These engines will benefit large branch offices, headquarters and small data-centers alike, allowing enterprises greater visibility and higher bandwidth to manage the growing performance demand from today’s new network usages.

The ip|e 400ax allows for the management of up to 5000 users and 300 Mbps, bolstering Ipanema’s existing range of appliances designed for various WAN link capacities and numbers of users on a site. This family of physical and virtual appliances are key components of Ipanema’s Autonomic Networking System (ANS), the central management platform for orchestrating all of Ipanema’s diverse functions: Application Visibility, Application Control, WAN Optimization and Network Rightsizing. All these elements allow the Ipanema’s system to guarantee business application performance over complex and large networks with offices of all size, from the smallest branch to the largest data center.

In addition to Ipanema’s standard features, the new ip|e 400ax comes with numerous additional benefits, such as:

- Application visibility and control for branch office networks up to 300Mbps with support for any IP network, using a variety of access technology including Ethernet, Internet, MPLS, and LTE.

- The ability to manage redundant networks with a single device via dual fail-safe hardware capabilities. This allows for simpler installation at lower cost for enterprises.

- Dynamic WAN Selection capabilities to maximize the value of multiple network combinations (such as dual MPLS access, dual service providers or MPLS + Internet) by unifying application performance and ensuring the optimum usage of each available path between sites.

- Users of the ip|e 400ax will also benefit from WAN optimization capabilities for network links up to 100Mbps.

- Ip|e 400ax also exists as a virtual appliance, as part of the full virtualization portfolio.

“We see increasing demand from enterprises and our service provider partners to deploy 300Mbps networks to large branch offices but also small data centers, often using a variety of technologies. Even sites with very high capacity networks need centralized control. The ability to guarantee application performance is essential if companies are to manage traffic according to their business needs,” said Matthieu Silbermann, Director of Product Marketing, Ipanema.

Ipanema’s rollout of the ip|e 400ax is designed to manage and control the growing demand on large-sized branch offices and small data centers.

“Roughly 10% of our customers currently use 300Mbps bandwidth capacity in their large-sized branches. We expect this number to approach 50% as early as 2017. Additionally, roughly 50% of customers use the same bandwidth capacity in their small data centers. The ability to monitor, prioritize, and control business critical application performance remains key to ensuring business productivity” said Béatrice Piquer-Durand, Ipanema VP of Marketing.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.