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Riverbed Announces 10 New Riverbed SteelHead Solutions Powered by RiOS 10

Riverbed introduced new and enhanced acceleration solutions, vastly improving enterprise network performance, security and IT agility, advancing customers’ ability to thrive in the era of AI and massive data growth. 

This launch, Riverbed’s most comprehensive acceleration announcement in seven years, includes ten new Riverbed SteelHead solutions powered by RiOS 10, the company’s next-generation acceleration software. Riverbed’s solutions enable customers to speed the movement of enterprise data across connected clouds, data centers, and the edge with enhanced security and operational agility. 

Additionally, customers now have the option to consume these new solutions via the new Riverbed Flex subscription offering, delivering greater architectural freedom, license portability, value-retention, and improved total-cost-of-ownership.

“Riverbed was founded 23 years ago this month with a focus on accelerating applications and the movement of data over networks. AI and data-hungry applications have introduced new and more demanding network requirements,” said Dave Donatelli, CEO of Riverbed. “I’m proud that Riverbed continues to solve our customers’ most critical challenges, as demonstrated today by our largest Acceleration launch in seven years. In the first quarter of this year, we saw strong demand in our Acceleration business, achieving 59% year-over-year bookings growth. These new solutions build on our momentum and deliver a proven return on investment by helping customers move data faster, optimize application performance, and strengthen business resilience.”

RiOS 10, a significant update to Riverbed’s acceleration software, will deliver new levels of performance for cloud, data centers and the edge, helping customers secure data delivery through advances such as post-quantum cryptography, platform security, and confidential computing. For customers demanding the utmost performance, the new Riverbed SteelHead 90 series will offer new levels of resilient networking performance and value. The four appliances range from the Data Center-ready CXA-8090 to the CXA-2090 optimized for Edge deployments.

  • SteelHead 8090, delivers up to 60 Gbps of data movement over optimized WAN. It supports multiple 100 Gigabyte network interfaces to pull massive amounts of data from the LAN.
  • SteelHead 60902, delivers up to 20 Gbps of data movement over optimized WAN, targeted for mid-scale data centers.
  • SteelHead 4090 and 20902, support mid-sized data center and edge use cases, with 500 Mbps and 200 Mbps of accelerated traffic, as well as up to 10 Gbps of total traffic processing for QoS and application classification use cases.

“Network congestion is no longer just a nuisance—it’s a choke point that can cripple a business. Without fast and efficient data movement over networks, enterprises will quickly find themselves falling behind, missing out on the promise of AI,” said Chalan Aras, SVP and GM of Acceleration at Riverbed. “Riverbed’s new resilient networking solutions help organizations stay ahead of the curve by securely managing growing data volumes and application performance demands, while also improving IT agility to support the dynamic demands of cloud, data center and edge computing.”

For virtualized environments, Riverbed SteelHead Virtual, powered by RiOS 10, is a software only version designed for private cloud deployments delivering similar appliance performance levels and is compatible with VMWare ESXI, KVM and Microsoft Hyper-V.

To further help customers overcome the unique challenges of edge computing, Riverbed is also introducing SteelHead RS, a new software solution that projects business-critical data to the edge while providing near real-time data synchronization between the edge and the data center, enabling fast local application and AI processing at the edge, while maintaining data consistency across the edge and core.

Riverbed SteelHead Cloud, powered by RiOS 10, will deliver breakthrough acceleration benefits across the broadest range of cloud providers – including Amazon Web Services, Microsoft Azure, and new today – Oracle Cloud Infrastructure and Google Cloud Platform. The new SteelHead Cloud offering, available in each cloud providers’ marketplace, enables enterprises to move data and applications at speeds up to 20 Gbps, ensuring optimal application performance, faster delivery, and significant cost savings compared to traditional methods.

Riverbed’s new Flex subscription offering gives customers architectural freedom and strong investment protection. Licenses can be easily transferred from hardware to virtual to cloud devices at no cost. Customers can dynamically reassign license capacity across devices, scale capacity up or down based on business needs, and upgrade hardware more cost-effectively as Riverbed introduces new technologies.

The new solutions are anticipated to be generally available in May 2025.

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Riverbed Announces 10 New Riverbed SteelHead Solutions Powered by RiOS 10

Riverbed introduced new and enhanced acceleration solutions, vastly improving enterprise network performance, security and IT agility, advancing customers’ ability to thrive in the era of AI and massive data growth. 

This launch, Riverbed’s most comprehensive acceleration announcement in seven years, includes ten new Riverbed SteelHead solutions powered by RiOS 10, the company’s next-generation acceleration software. Riverbed’s solutions enable customers to speed the movement of enterprise data across connected clouds, data centers, and the edge with enhanced security and operational agility. 

Additionally, customers now have the option to consume these new solutions via the new Riverbed Flex subscription offering, delivering greater architectural freedom, license portability, value-retention, and improved total-cost-of-ownership.

“Riverbed was founded 23 years ago this month with a focus on accelerating applications and the movement of data over networks. AI and data-hungry applications have introduced new and more demanding network requirements,” said Dave Donatelli, CEO of Riverbed. “I’m proud that Riverbed continues to solve our customers’ most critical challenges, as demonstrated today by our largest Acceleration launch in seven years. In the first quarter of this year, we saw strong demand in our Acceleration business, achieving 59% year-over-year bookings growth. These new solutions build on our momentum and deliver a proven return on investment by helping customers move data faster, optimize application performance, and strengthen business resilience.”

RiOS 10, a significant update to Riverbed’s acceleration software, will deliver new levels of performance for cloud, data centers and the edge, helping customers secure data delivery through advances such as post-quantum cryptography, platform security, and confidential computing. For customers demanding the utmost performance, the new Riverbed SteelHead 90 series will offer new levels of resilient networking performance and value. The four appliances range from the Data Center-ready CXA-8090 to the CXA-2090 optimized for Edge deployments.

  • SteelHead 8090, delivers up to 60 Gbps of data movement over optimized WAN. It supports multiple 100 Gigabyte network interfaces to pull massive amounts of data from the LAN.
  • SteelHead 60902, delivers up to 20 Gbps of data movement over optimized WAN, targeted for mid-scale data centers.
  • SteelHead 4090 and 20902, support mid-sized data center and edge use cases, with 500 Mbps and 200 Mbps of accelerated traffic, as well as up to 10 Gbps of total traffic processing for QoS and application classification use cases.

“Network congestion is no longer just a nuisance—it’s a choke point that can cripple a business. Without fast and efficient data movement over networks, enterprises will quickly find themselves falling behind, missing out on the promise of AI,” said Chalan Aras, SVP and GM of Acceleration at Riverbed. “Riverbed’s new resilient networking solutions help organizations stay ahead of the curve by securely managing growing data volumes and application performance demands, while also improving IT agility to support the dynamic demands of cloud, data center and edge computing.”

For virtualized environments, Riverbed SteelHead Virtual, powered by RiOS 10, is a software only version designed for private cloud deployments delivering similar appliance performance levels and is compatible with VMWare ESXI, KVM and Microsoft Hyper-V.

To further help customers overcome the unique challenges of edge computing, Riverbed is also introducing SteelHead RS, a new software solution that projects business-critical data to the edge while providing near real-time data synchronization between the edge and the data center, enabling fast local application and AI processing at the edge, while maintaining data consistency across the edge and core.

Riverbed SteelHead Cloud, powered by RiOS 10, will deliver breakthrough acceleration benefits across the broadest range of cloud providers – including Amazon Web Services, Microsoft Azure, and new today – Oracle Cloud Infrastructure and Google Cloud Platform. The new SteelHead Cloud offering, available in each cloud providers’ marketplace, enables enterprises to move data and applications at speeds up to 20 Gbps, ensuring optimal application performance, faster delivery, and significant cost savings compared to traditional methods.

Riverbed’s new Flex subscription offering gives customers architectural freedom and strong investment protection. Licenses can be easily transferred from hardware to virtual to cloud devices at no cost. Customers can dynamically reassign license capacity across devices, scale capacity up or down based on business needs, and upgrade hardware more cost-effectively as Riverbed introduces new technologies.

The new solutions are anticipated to be generally available in May 2025.

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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...