Gigamon GigaSMART processing is expanding with a new network appliance designed to help businesses monitor increasingly distributed AI workloads. Announced on October 20, 2026, the GigaVUE-GSA110 and enhancements to Application Metadata Intelligence, or AMI, are available immediately, Gigamon said.
Key Takeaways
- The GigaVUE-GSA110 adds processing capacity alongside existing Gigamon network visibility equipment.
- Gigamon specifies up to 400 Gbps for application metadata processing and up to 800 Gbps for optimized packet delivery.
- AMI enhancements target AI application visibility, telemetry delivery and fewer HTTPS metadata records.
Table of Contents
- Gigamon GigaSMART expands processing alongside existing equipment
- Application intelligence targets distributed AI activity
- Metadata changes focus on delivery and record volume
- Conclusion
Gigamon GigaSMART expands processing alongside existing equipment
The new appliance extends Gigamon’s Deep Observability Pipeline, which converts network traffic into information used by security, monitoring and AI tools. It separates additional processing capacity from existing visibility infrastructure, allowing organizations to add capacity where needed.
Gigamon’s GigaVUE-GSA110 launch announcement describes deployment alongside existing GigaVUE TA Series and HC Series systems. For customers using those platforms, the stated approach is to add dedicated processing rather than replace the entire visibility deployment.
The two headline throughput figures describe different functions: AMI extracts application context, while packet optimization prepares network traffic for delivery to packet-based tools. They should not be read as interchangeable performance measures.
| Item | Details |
|---|---|
| Physical footprint | Compact 1RU appliance. |
| Telemetry formats | Native JSON export and support for JSON, CEF and IPFIX. |
| HTTPS metadata | Two records consolidated into one for applicable flows. |
| Availability | Appliance and AMI enhancements available as of October 20, 2026. |
Application intelligence targets distributed AI activity
Gigamon positions the release around hybrid AI environments, where businesses run models and applications across public clouds, private clouds and on-premises infrastructure. That distribution creates a need to understand how applications, services, users and AI agents interact across networks.
The company says AMI can identify and classify generative AI and large language model application traffic, including shadow AI, or activity outside sanctioned systems. Its metadata also describes application identities, dependencies, protocol behavior and certificate activity.
Chief Operating Officer Gareth Maclachlan said AI-enabled network and security operations need consistent network context to analyze activity and make informed decisions. Faster investigations and stronger governance are the company’s intended benefits, not independently demonstrated results in the announcement.
Metadata changes focus on delivery and record volume
The software enhancements also address how network information reaches downstream systems. Support for multiple telemetry formats allows application context to feed security, observability, data and AI platforms, including Kafka-based workflows.
For HTTPS traffic, Gigamon says the update combines two metadata records into one unified record, reducing record counts for those flows by approximately 50 percent while preserving application context. That is a reduction in metadata records, not a claim that total network traffic or overall monitoring costs fall by half.
Conclusion
With the appliance and software enhancements already available, the release moves directly to customer deployment rather than a future launch milestone. The announcement does not disclose pricing or a subsequent rollout date.
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