At Google I/O 2026, Google Research and Synaptics announced a partnership built around a single premise: advanced AI workloads should run locally, on device, without routing data through the cloud.
The Synaptics Coralboard at the center of the collaboration is a compact hardware platform powered by a neural processing unit capable of running vision and generative AI models on-site. Google’s own leaders described it as a platform for building “private, always-on experiences” that lower the barrier to real-world Edge AI deployment.
The message is clear. The future of high-performance AI is not exclusively in the cloud. It is at the edge, close to where data is generated.
Why this shift is happening now
Cloud infrastructure delivered scale and flexibility that changed how organizations deploy technology. But as AI becomes embedded across more workflows and devices, the limitations of a cloud-first model are coming into focus.
Latency is one constraint. When a system needs to analyze data and act on it in real time, the round trip to a remote server introduces delay that isn’t acceptable in time-critical environments. Processing that happens locally eliminates that lag entirely.
Data sovereignty is another. Organizations handling sensitive information need to be able to answer, clearly and specifically, where their data goes, who can access it, and how it is stored. Cloud environments introduce dependencies and contractual complexity that make those questions harder to answer. On-device and on-premise processing puts those answers back in the hands of the organization running the system.
Cost follows the same logic. Cloud AI pricing scales with usage. For systems running continuous inference, that compounds quickly. Local processing converts that recurring expense into infrastructure the organization owns and controls.
Google and Synaptics framed their collaboration as reflecting “a shared commitment to accessible, secure Edge AI for developers everywhere.” That framing is significant. It signals that local processing is not a workaround for organizations that cannot afford the cloud. It is the direction the industry is moving.
What this means for enterprise security
For organizations running AI powered video security, the Edge AI shift is not a distant trend. It is directly relevant to how these systems need to be built and deployed today.
Video generates data at scale and continuously. Every camera, every feed, every hour of coverage produces information that needs to be processed, analyzed, and acted on without delay. A system that depends on cloud connectivity to function introduces risk at every point: network outages, latency under load, data exposure, and costs that grow with every camera added to the network.
The same principles that Google and Synaptics are applying to consumer and developer devices apply directly to enterprise security infrastructure. Real-time detection requires local inference. True data ownership requires on-premise architecture. Reliable performance under pressure requires systems that operate independently of external network conditions.
How Koshee is built for this
This is the architecture Koshee was designed around from the start.
Koshee Protect runs AI inference on-site, within your own network, behind your firewall. Video data never leaves your infrastructure. Detection and alerting happen locally, so response times are immediate and performance is not dependent on what is happening outside your walls. And because the system operates within your own environment, your organization retains full control over how data is stored, accessed, and used.
The Google and Synaptics partnership is a validation of what organizations in high-stakes industries have needed for some time: world-class AI that does not require sending sensitive data to a public cloud to function. For enterprise security, that capability is not a feature. It is the foundation.
Read the full announcement: Google Research and Synaptics Partner to Showcase Immersive Edge AI Experiences Powered by the Coralboard at Google I/O 2026
Learn how Koshee delivers enterprise-grade AI on-premise: protect.koshee.ai