Real-time inference that's cheaper, faster and greener.
<27 ms p95 latency. 25% less power + carbon. 50% smaller footprint.
The Box computes AI workloads where data is generated
Our 27ft3 immersion-cooled, ultra-dense GPU compute node easily deployed when space + power is constrained. 5G macro towers, PoPs, campuses, factories, oil rigs - opening up millions of locations that can host edge AI.
The Brain orchestrates and schedules AI workloads to the right Box
Nectar computes inference locally by living at the network edge - providing ultra-low latency and avoiding costly raw data backhaul to the cloud.
Multiple carriers, hyperscalers, and enterprises share infrastructure—breaking down costly vendor silos and simplifying integration.
Supports standard deployment tools (EKS Anywhere, Azure Arc, Terraform), requiring no special integrations.
Nectar's caching technology cuts inference latency below 30 ms and significantly reduces bandwidth costs.
Connecting the whole stack for turnkey adoption
Nectar brings your cloud-trained models into scalable, multi-tenant edge AI - a true hybrid infrastructure.
Cloud AI factories
Google Cloud, AWS, Azure, Coreweave, Oracle
Managed K8s control planes
Amazon EKS, Google GKS, Azure AKS
Fleet / device mgmt
ZEDEDA Cloud + EVE-OS, Azure Arc machine management
Telco + private 5G
AT&T, Verizon, T-Mobile, on-prem enterprise, Nvidia UPF, OneLayer
Backed by leaders in AI accelerated computing
Supported by Stanford HPC · NVIDIA Inception · Supermicro · DCX Immersion
Have a real-time AI use case? Let’s talk.
Train in the cloud -
decide at the edge
© 2025 Nectar Edge Inc · Enabling sustainable AI innovation, everywhere · SF Bay Area, CA