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

Make sure you have compatible hardware. I bought this plus and adapter to use in my older SSSE3 capable motherboard, but the aging Google drivers, the compiled versions, only support SSE4.1 and up. Ended up compiling special drivers for Frigate and got it working. Dropped the CPU utilization to 30% for AI detection. BTW, this setup only supports one half of the TPU, since this is a dual core, but thats no problem for me and I knew that when buying. Learned a lot about "slots" during this buying process. I used this adapter "HLT M.2 (NGFF) to mPCIe (PCIe+USB) Adapter" to make it work in my Wifi card slot.

Pay attention that it's an E-key and NOT M-Key; thus, you need to buy an adapter. I assmed that every M.2 should work with my QNAP NAS but I was wrong....big time! M.2 is a general concept and you need to know in adavnce what Key is suitable for your system. Ordered the adapter and still waiting to test this product. Please do ur homework first and see if this the right choice for you. Better off to buy the M.2 M-Key and pay a bit more than this useless E-Key that NO one is using in 2026!

Received an defective item. The customer service is great!

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.

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.

Works great with Frigate but make sure you have the correct nvme style

not working at all

Works wonders!

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.

Bom produto já comprovado anteriormente