Tigera Launches Lynx Control Plane for Kubernetes AI Agents
Tigera announced in a press release the general availability of Tigera Lynx, a unified control plane for AI agents operating within Kubernetes environments. Built on Tigera’s experience in Kubernetes network security, Lynx allows AI, platform, and security teams to manage and audit agents without modifying their code.
Lynx provides a central interface for discovering and registering agents, managing configuration and posture, assigning cryptographic identities, enforcing policy, and detecting anomalous behavior. It authenticates and mediates every agent interaction, including agent to agent, agent to tool, and agent to large language model calls.
The system integrates with existing enterprise infrastructure such as identity providers like EntraID and Okta, as well as observability tools, using open standards. Lynx runs on a Kubernetes architecture with eBPF instrumentation and scales horizontally. It is already in production use by major global banks and is available immediately.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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