Coral M.2 Accelerator with Dual Edge TPU …

Picked up the Coral M.2 Dual Edge TPU specifically to offload Frigate NVR object detection from the host CPU and it has transformed the setup completely. Running Frigate on Proxmox with multiple camera streams and the Coral handles the inferencing load without breaking a sweat — detection latency dropped dramatically and CPU utilization on the Proxmox host went from uncomfortably high during active detection to nearly negligible. The dual Edge TPU is the right spec for a multi-camera Frigate deployment. Single TPU units hit their limits when you're running enough camera streams with active object detection — the dual TPU handles the parallel inferencing load that a serious NVR setup generates without queuing delays that cause missed detections on fast moving objects. Passthrough to the Frigate LXC or VM on Proxmox works correctly once the PCIe passthrough is configured properly. Driver installation on the container side is straightforward following the Coral documentation and Frigate recognizes the device cleanly on startup without any manual configuration beyond pointing the detector config at the right device path. Detection accuracy and speed on the Coral versus pure CPU inference is not a subtle difference — it's a completely different experience. Person, vehicle, and animal detection on multiple simultaneous streams with sub-100ms latency is what a proper NVR setup should deliver and the Coral makes that possible without dedicated GPU hardware. For anyone running Frigate on Proxmox or similar homelab NVR setups, the Coral M.2 Dual Edge TPU is the upgrade that makes everything else click into place. Highly recommended without reservation.

Works well with blueiris but you definitely want to get pci base card to make it work, even though computer had wifi card socket , this one didn't work with it , I had to order compatible adapter.

Works like a charm! Considering “die” size, compute is incredible

Attempted to use this Coral TPU with Blue Iris/Code Project.AI. First unit worked for two weeks before it died. Computer would no longer even power on with the TPU installed. Replacement unit never worked - computer would always hang during boot if it was installed. In case it matters, I used the TPU with an M.2 to PCIe adapter as my motherboard doesn't have a spare M.2 slot. YMMV if you install the TPU direct to the motherboard.

Difficult to use. You have to have. Avery specific and rare M.2 slot that most motherboards won't have. Would have been Greta to have included the adapters you can find online for these to make them use able on more motherboards.

This Coral M.2 Accelerator works flawlessly. I added it to my server specifically for AI object detection with Frigate, and the performance jump is incredible. The dual Edge TPU handles real-time detection smoothly, runs cool, and stays completely stable. Setup was quick, and it integrated with my system without any issues. If you’re using Frigate or need solid hardware acceleration for machine learning tasks, this is absolutely worth it.

As others have pointed out, the "Coral" device itself is great; however you need to be extra careful which M.2 version you get. I had to return these for the M.2 A+E key version as I removed a M.2 WiFi card and wanted to replace it with a M.2 Coral. THIS version of the device will likely NOT work with your motherboard, look for the A+E key version instead. That unit works good on Linux (had to manually build a DKMS module for it to work on Ubuntu 24.04) and Frigate integration is pretty straight forward. Frigate shows an inference speed of 7.5ms and the device runs at 51°C.

So far so good running YOLO on Frigate NVR. Detections are quick installation was easy using the correct adapter.

not working at all

Works wonders!

Il tipo di connettore non permette di utilizzare la doppia edge, quindi su Pc fanless può esserne utilizzata solo una… praticamente uno spreco.

TPU détecté, mais pour ce qui est du contenu du colis, il n'y aura que le tpu en lui-même. Pas de dissipateur thermique, manuel d'utilisation comme promis dans la description! J'ai posé la question au vendeur, mais pas de retour! Cordialement.

Shoved this in my qnap to speed up the QuMagie AI. Works great shows up as 2 TPU's but had to buy a special multiplexing adapter to an m.2 slot and then also get a m.2 to pci slot card. But that's as much to do with the qnap as the card itself.