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Kemp Releases LoadMaster X40M Load Balancer/ADC

Kemp released the LoadMaster X40M load balancer/application delivery controller (ADC) – Kemp’s highest capacity layer 4-7 load balancer supporting 300 million concurrent users.

The X40M helps enterprises enable secure, reliable and always-on access to applications in hyper-scale environments.

Thanks to Kemp’s innovations in bare metal architecture, proprietary memory utilization algorithms and x86 platform optimization, the X40M provides critical infrastructure for the most demanding web scale application deployments. In addition to support for 300 million concurrent user connections, a single instance can scale to over 40 gigabits-per-second (Gbps) of application throughput and 35,000 secure socket layer (SSL) encrypted transactions per second.

These performance characteristics enable environments that need to support a large number of end-user bases while providing the headroom needed to mitigate application layer attacks without detectable impacts to the end-user application experience. Modular security engine components for authentication, IPS, DDoS, and comprehensive WAF services rely on dedicated co-processing optimized for encrypted traffic flow handling. This enables the X40M to keep the enterprise environment secure while maintaining acceptable AX for end-user interactions with published services.

To provide for investment protection, the X40M further enables horizontal scale through multi-unit clustering. This means that time-consuming and costly rip-and replace exercises can be avoided if the infrastructure eventually scales beyond the capacity of a single instance.

“While there has been, and will continue to be, an increase in virtualized, micro-instance per-app load balancing, many enterprise and web-scale deployments continue to require high performance hardware-based load balancing for apps that require guaranteed performance, tenant isolation and centralized IT models,” said Jason Dover, VP of Product Strategy for Kemp. “The introduction of the X40M over-delivers for customers that have requirements across these dimensions.”
Pricing and Availability

The Kemp LoadMaster X40M is available today.

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Kemp Releases LoadMaster X40M Load Balancer/ADC

Kemp released the LoadMaster X40M load balancer/application delivery controller (ADC) – Kemp’s highest capacity layer 4-7 load balancer supporting 300 million concurrent users.

The X40M helps enterprises enable secure, reliable and always-on access to applications in hyper-scale environments.

Thanks to Kemp’s innovations in bare metal architecture, proprietary memory utilization algorithms and x86 platform optimization, the X40M provides critical infrastructure for the most demanding web scale application deployments. In addition to support for 300 million concurrent user connections, a single instance can scale to over 40 gigabits-per-second (Gbps) of application throughput and 35,000 secure socket layer (SSL) encrypted transactions per second.

These performance characteristics enable environments that need to support a large number of end-user bases while providing the headroom needed to mitigate application layer attacks without detectable impacts to the end-user application experience. Modular security engine components for authentication, IPS, DDoS, and comprehensive WAF services rely on dedicated co-processing optimized for encrypted traffic flow handling. This enables the X40M to keep the enterprise environment secure while maintaining acceptable AX for end-user interactions with published services.

To provide for investment protection, the X40M further enables horizontal scale through multi-unit clustering. This means that time-consuming and costly rip-and replace exercises can be avoided if the infrastructure eventually scales beyond the capacity of a single instance.

“While there has been, and will continue to be, an increase in virtualized, micro-instance per-app load balancing, many enterprise and web-scale deployments continue to require high performance hardware-based load balancing for apps that require guaranteed performance, tenant isolation and centralized IT models,” said Jason Dover, VP of Product Strategy for Kemp. “The introduction of the X40M over-delivers for customers that have requirements across these dimensions.”
Pricing and Availability

The Kemp LoadMaster X40M is available today.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...