Riverbed primes networks for the AI era with ground-breaking acceleration solutions

Riverbed primes networks for the AI era with ground-breaking acceleration solutions

New resilient networking solutions boost performance, security and agility of enterprise and AI applications poised to deliver a data tsunami across clouds, data centers and edge.

Riverbed has 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.

The 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 industry-leading solutions enable customers to speed the movement of enterprise data across connected clouds, data centres 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.

Networks are now constrained, with data volumes surging 35% annually, outpacing network capacity.

According to recent ESG analyst research, 91% of IT leaders agree that AI is making networking, and thus network acceleration, critical again, with 85% seeing AI influencing network planning, engineering, and operations.

With a large portion of enterprise data being both created and used by AI applications, the performance of everything running over the network is impacted, including critical on-prem and cloud applications and computing at the edge.

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, Riverbed. 

“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, optimise application performance, and strengthen business resilience.”

RiOS 10, a significant update to Riverbed’s acceleration software that has powered more than 100,000 operating locations globally, 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. 

The new Riverbed SteelHead 90 series is pitched as offering 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.

For virtualised 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.

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, Oracle Cloud Infrastructure and Google Cloud Platform.

The new offering, available in each cloud providers’ marketplace, enables enterprises to move data and applications at speeds up to 20 Gbps – pitching optimal application performance, faster delivery, and significant cost savings compared to traditional methods.

“AI initiatives are increasing the criticality of network performance, requiring reduced latency, increased bandwidth, and richer network observability. While performance can be improved by upgrading network gear and external services, organisations should also prioritise continuous optimisation of network connections. These are all requirements that Riverbed’s resilient networking solutions address for successfully supporting growing AI workloads,” said Jim Frey, Principal Analyst, Networks, Enterprise Strategy Group.

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