Is Hailo-8 better than Google Coral?

For new builds, yes. The Hailo-8 is rated at 26 INT8 TOPS versus the Coral Edge TPU's 4 TOPS, runs Frigate's default YOLOv6n model in about 7 ms, and has actively maintained drivers. The Coral still works and is extremely power-efficient, but its software stack has stalled.

Does Frigate still support the Google Coral?

Yes. Frigate's hardware docs say the Coral is no longer recommended for new installations except where power is particularly constrained or the hardware can't use other accelerators, but the project will keep supporting it for as long as practicable. A working Coral setup doesn't need to be replaced.

What is the best Frigate detector in 2026?

For a Raspberry Pi 5, a Hailo-8 AI HAT+. For a PC or mini PC with a recent Intel CPU, start with OpenVINO on the integrated GPU or NPU — Frigate lists about 15 ms on an N100 and about 6 ms on an Intel NPU — before buying any accelerator. A Hailo-8 M.2 module is the upgrade path for x86 boxes that need more.

Is the Google Coral discontinued?

Google hasn't published an end-of-life notice we could find, and retailers still sold the USB Accelerator in 2026. But the PyCoral library hasn't had a major release since 2021, the PCIe/M.2 versions rely on a kernel driver that lags current Linux kernels, and Frigate has stopped recommending it.

How many cameras can a Hailo-8 handle?

At roughly 7 ms per inference, a Hailo-8 can in theory run well over 100 detections per second. Frigate only runs detection on motion, so in practice one Hailo-8 handles a typical home setup of 4-10 cameras comfortably; the Hailo-8L handles fewer.

Hailo-8 vs Google Coral (2026): Which AI Accelerator for Frigate and Edge Vision?

Quick Answer: For a new Frigate NVR or edge vision build, buy a Hailo-8 — as the Raspberry Pi AI HAT+ 26 TOPS for a Pi 5, or as an M.2 module for a PC. It’s 6.5× the rated compute of a Coral (26 vs 4 INT8 TOPS), runs Frigate’s default YOLOv6n model in about 7 ms, and its drivers are actively maintained. The Google Coral isn’t dead — it’s still among the most power-efficient detectors and Frigate still supports it — but Frigate’s own docs now say it is “no longer recommended for new Frigate installations.” And if your NVR has a recent Intel CPU, try the free OpenVINO route before buying either.

Specs side by side

	Hailo-8	Hailo-8L	Google Coral Edge TPU
Rated compute	26 TOPS (INT8)	13 TOPS (INT8)	4 TOPS (INT8)
Typical power	about 2.5 W	lower than Hailo-8	about 2 W (2 TOPS/W)
Form factors	M.2 2280 (PCIe x4), Pi AI HAT+ 26 TOPS	M.2 2242, Pi AI HAT+ 13 TOPS	USB, M.2 A+E / B+M, Mini PCIe, Dual Edge TPU M.2
Frigate YOLOv6n	about 7 ms	about 11 ms	not listed (MobileNet-class models)
Driver / runtime	HailoRT + PCIe driver, actively maintained	same	USB: no host driver; PCIe: "gasket" driver lagging current kernels
Frigate status (Oct 2026)	Supported, recommended	Supported, recommended	Supported, not recommended for new installs

Inference times and Coral status from Frigate’s hardware documentation (docs.frigate.video), checked October 2026. TOPS are vendor ratings at INT8 and don’t translate linearly to real-world speed.

Why Frigate moved away from the Coral

For years the Coral USB Accelerator was the default answer to “what should I buy for Frigate?” That changed because of software, not silicon:

Stalled Python stack: Google’s PyCoral library hasn’t had a major release since 2021, and its prebuilt packages target older Python versions.
PCIe driver drift: the M.2 and Mini PCIe Corals depend on Google’s “gasket” kernel driver, which doesn’t build cleanly on current Linux kernels; people rely on community-maintained forks.
Model lock-in: the Edge TPU only runs models compiled specifically for it, mostly from the MobileNet family, while Frigate’s newer default models are YOLO variants that Hailo, OpenVINO and NVIDIA GPUs run well.

Frigate’s docs are explicit: the Coral is “no longer recommended for new Frigate installations, except in deployments with particularly low power requirements or hardware that is not capable of utilizing alternative AI accelerators.” They also note the USB version “does not require a driver on the host machine” and that a single Coral can handle many cameras with the default model — so if yours works today, there’s no urgency to rip it out.

Hailo-8: the new default

Raspberry Pi AI HAT+ (26 TOPS, Hailo-8)

Best for a Raspberry Pi 5 Frigate box · $110 launch list

Hailo-8 NPU on a Pi 5 HAT; Frigate's hailo8 detector auto-downloads a compatible YOLOv6n model.
About 7 ms per frame — comfortably handles a typical home camera setup.
Very low power: a whole Pi 5 + HAT NVR runs on a few watts at idle.

Check AI HAT+ 26 TOPS price on Amazon →

On a Raspberry Pi 5, the AI HAT+ is the simplest way to get Hailo into Frigate. If you’re still choosing between the 13 TOPS and 26 TOPS boards, see AI HAT+ vs AI Kit. Waiting on a PoE camera or a power supply to finish the NVR? A free 30-day Amazon Prime trial gets the parts to you in two days.

Hailo-8 M.2 AI Accelerator Module (2280, M-key)

Best for an x86 NVR or mini PC · mid price class

Same 26 TOPS Hailo-8 in an M.2 2280 card for a free NVMe-style slot.
Install Hailo's PCIe driver on the host; Frigate's docs walk through it.
Check your slot: it needs a PCIe M.2 M-key slot, not a SATA-only one.

Check Hailo-8 M.2 prices on Amazon →

When the Coral still makes sense

You already own one and it works — Frigate still supports it.
Extreme low power: solar or battery setups where every watt counts.
No PCIe available: the USB Coral plugs into almost anything and needs no host driver — useful on older hardware or a Pi 4, which can’t take an AI HAT+.

Google Coral USB Accelerator

Legacy / low-power pick · check price carefully

4 TOPS Edge TPU at about 2 W; USB-C, no host driver needed.
Still supported by Frigate, but not recommended for new installs.
Third-party Amazon listings are often marked up — compare with authorized distributors.

Check Coral USB price on Amazon →

The option most people skip: no accelerator at all

If your NVR runs on a 6th-gen-or-newer Intel CPU, Frigate’s OpenVINO detector uses the integrated GPU or NPU you already own. Frigate lists about 15 ms for an Intel N100, about 10 ms for Iris Xe and about 6 ms on an Intel NPU. That’s in Hailo territory for zero extra cost. A low-power Intel N150 mini PC is a strong all-in-one Frigate box for a handful of cameras.

Intel N150 Mini PC (e.g. Beelink Mini S13)

Accelerator-free Frigate box · budget price class

Frigate's OpenVINO detector runs on the integrated Intel GPU.
Idles at single-digit watts; room for an SSD to store recordings.
Add a Hailo-8 M.2 module later if you outgrow it (check for a free M.2 slot).

Check N150 mini PC prices on Amazon →

Verdict

Your setup	Best choice
Raspberry Pi 5 NVR	AI HAT+ 26 TOPS (Hailo-8)
Intel mini PC or NUC	OpenVINO first; Hailo-8 M.2 if you need more
PC with an NVIDIA GPU	The GPU (Frigate's ONNX detector)
Existing working Coral	Keep it
Solar / battery, every watt counts	Coral USB or Hailo-8L

The Hailo-8 is the accelerator to buy in 2026, the Coral is the one to keep if you already have it, and OpenVINO on an Intel iGPU is the one to try first if your hardware supports it. Need more than object detection — LLMs or robotics? Then you want a GPU, and the Jetson Orin Nano Super is the place to start.