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cPacket Unveils High-Performance Packet Delivery

cPacket Networks introduces new packet delivery and capture platforms, designed to meet the evolving needs of AI-powered network observability and security monitoring, both on-premise and in hybrid cloud environments.

The cVu 32400AG strengthens cPacket's packet delivery offerings by addressing customers' growing requirements for peak performance, analytics and AI-powered network observability.

Mark Grodzinsky, Chief Product and Marketing Officer of cPacket, said, "Our zero-downtime enterprise customers require solutions that are not only powerful and efficient but also cost-effective and easy to manage. With our new packet delivery system, we're delivering on those promises, enabling customers to harness the full potential of their network infrastructure while reducing overhead and unlocking advanced capabilities like 400G."

The cVu 32400AG expands on the AG product line to include 400G support, allowing customers to enable packet brokering at line-rate with high port density in a small footprint. This is the first product in the cPacket portfolio to support 400G, helping to round out cPacket’s portfolio with network observability solutions that are both efficient and future-proof.

The cVu 32400AG offers advanced microburst detection capabilities and allows NetOps teams to detect and address network congestion issues in real-time, ensuring the reliability and performance of mission-critical applications. For instance, applications requiring high performance and low latency, such as high-frequency trading and AI processing, often encounter millisecond bursts that impact immediate operations and are critical considerations for future network capacity planning and AI compute efficiency.

In addition to new releases in the cVu family, cPacket has expanded its partnership with AWS to include the cStor-V platform on AWS Marketplace. The cStor-V virtual appliance runs as a native EC2 instance in AWS to deliver high-performance cloud packet capture and network analytics. It integrates seamlessly with native AWS VPC Traffic Mirroring services to easily point out-of-band, replicated packet streams to cStor-V for continuous and on-demand capture scenarios. cStor-V can also generate enterprise grade network analytics to quickly troubleshoot network issues, identify security incidents, and examine key protocol performance.

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cPacket Unveils High-Performance Packet Delivery

cPacket Networks introduces new packet delivery and capture platforms, designed to meet the evolving needs of AI-powered network observability and security monitoring, both on-premise and in hybrid cloud environments.

The cVu 32400AG strengthens cPacket's packet delivery offerings by addressing customers' growing requirements for peak performance, analytics and AI-powered network observability.

Mark Grodzinsky, Chief Product and Marketing Officer of cPacket, said, "Our zero-downtime enterprise customers require solutions that are not only powerful and efficient but also cost-effective and easy to manage. With our new packet delivery system, we're delivering on those promises, enabling customers to harness the full potential of their network infrastructure while reducing overhead and unlocking advanced capabilities like 400G."

The cVu 32400AG expands on the AG product line to include 400G support, allowing customers to enable packet brokering at line-rate with high port density in a small footprint. This is the first product in the cPacket portfolio to support 400G, helping to round out cPacket’s portfolio with network observability solutions that are both efficient and future-proof.

The cVu 32400AG offers advanced microburst detection capabilities and allows NetOps teams to detect and address network congestion issues in real-time, ensuring the reliability and performance of mission-critical applications. For instance, applications requiring high performance and low latency, such as high-frequency trading and AI processing, often encounter millisecond bursts that impact immediate operations and are critical considerations for future network capacity planning and AI compute efficiency.

In addition to new releases in the cVu family, cPacket has expanded its partnership with AWS to include the cStor-V platform on AWS Marketplace. The cStor-V virtual appliance runs as a native EC2 instance in AWS to deliver high-performance cloud packet capture and network analytics. It integrates seamlessly with native AWS VPC Traffic Mirroring services to easily point out-of-band, replicated packet streams to cStor-V for continuous and on-demand capture scenarios. cStor-V can also generate enterprise grade network analytics to quickly troubleshoot network issues, identify security incidents, and examine key protocol performance.

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Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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