By LK Wood IV · Published 2026-07-30 · Updated 2026-07-30 · ~12 min read · St. Louis County, MO

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TL;DR · Frigate hardware, sized by camera count

  • 1–6 cameras, low activity: an Intel N100/N150 mini PC with 16GB RAM. Frigate's own list names the N100-based Beelink EQ13 for "several 1080p cameras with low-medium activity."
  • 6–12 cameras: step to a modern Core i-series box (Frigate names the 1220P and 125H classes) and 16GB.
  • 12+ cameras, high activity: multiple accelerators or a discrete GPU, per Frigate's planning docs.
  • Skip the Coral. Frigate now says it is "no longer recommended for new Frigate installations" outside low-power edge cases. Use the iGPU via OpenVINO — it's free.
  • Check AVX before you buy used. Frigate requires AVX+AVX2; Celeron and Pentium parts before 2020's Tiger Lake "typically lack AVX."
  • The drive is where the money leaks. A 4TB Seagate SkyHawk at $149.99 is $37.50/TB; a 1TB WD Purple at $162.94 costs more for a quarter of the space. Prices dated 2026-07-30.

Requirements and capability wording are quoted from Frigate's own documentation. Prices are a live Amazon US snapshot taken 2026-07-30 and move week to week — check the retailer link before buying. We do not own a Frigate rig and publish no first-party benchmarks here.

Most “Frigate hardware” pages answer a narrower question than the one people actually ask. They list a minimum spec — 4GB, AVX2, an accelerator — and stop. But the thing you actually need to know is how much box do I need for my number of cameras, and that answer is scattered across a docs page, a GitHub discussion, and a Facebook group.

It’s a conspicuous gap. Ask Google right now and its AI Overview summarises the requirements and then closes by asking you for the missing input: “If you tell me how many cameras you plan to use and their resolutions, I can help you pick the right mini PC or processor configuration.” (AI Overview for “frigate hardware requirements”, US/English, observed 2026-07-30; this wording varies between sessions and is not stable.) The machine knows what the table should contain. None of the top-ranking results we checked for that query on 2026-07-30 published it.

So here it is, sized by camera count, with every requirement traced to Frigate’s own documentation, and every price dated and attributed to the listing it came from.

The three gates before you spend anything

AVX and AVX2, or nothing works. Frigate’s planning guide requires “a CPU with AVX + AVX2 instructions.” Most modern processors carry both — but the exception is exactly the hardware people buy for a cheap NVR. Frigate spells it out: “Intel Celeron and Pentium models prior to the 2020 Tiger Lake generation typically lack AVX.” That cheap used mini-desktop with a Celeron is a dead end. Check the specific model on Intel’s ARK before you buy, not after.

Hardware decoding, which is not the same as detection. Frigate’s video decoding docs say “it is highly recommended to use an integrated or discrete GPU for hardware acceleration video decoding in Frigate,” because pulling apart camera streams is the CPU-heavy half of the workload. This is the part people under-buy: they budget for an AI accelerator and forget that decoding eats a CPU alive without an iGPU.

RAM, in three published tiers. Frigate gives real numbers rather than a vague “more is better”:

TierFrigate’s wordingWhat it assumes
4GB“generally sufficient for a very basic Frigate setup”A few cameras, plus a dedicated detector
8GB“should be considered the minimum”Once enrichments run — face recognition, license plates
16GB“is highly recommended”8+ cameras, or heavy enrichment use

Note that Frigate also holds recording cache in /dev/shm, sized separately from the above. Our Frigate NVR storage calculator computes that value alongside the disk estimate, because getting it wrong is a common first-install failure.

The camera-count ladder

Frigate publishes activity-based guidance in its planning docs, and names specific machines in its recommended hardware list. Neither is a buying table on its own. Combined, they are:

CamerasActivityFrigate’s guidancePractical boxDetector
1–6Lowa single, entry-level AI accelerator is sufficientIntel N100/N150 mini PC, 16GBiGPU via OpenVINO
6–12Moderatemore processing power requiredModern Core i-series (Frigate names 1220P, 125H classes), 16GBiGPU via OpenVINO
12+Highmultiple entry-level AI accelerators, or a more powerful single unit such as a discrete GPUDesktop/server CPU + discrete GPU or HailoHailo-8 or dGPU
40+Commerciala modern discrete GPUServer-class, out of scope heredGPU

Frigate’s own capability notes for the named machines: the Beelink EQ13 (N100) “can run object detection on several 1080p cameras with low-medium activity”; the 1220P class “can handle a large number of 1080p cameras with high activity”; the 125H class “can handle a significant number of 1080p cameras with high activity.”

Activity matters as much as count. Frigate gates object detection behind motion detection, so a quiet scene costs far less to run than a busy one. Six cameras pointed at a quiet side yard is a genuinely different load from six cameras on a busy street, and Frigate’s own tiering is written in those terms — which is why a flat “cameras → CPU” table from any other site is misleading. If your cameras see constant motion, size up one row.

The Coral question, settled by the people who make Frigate

This is where most of the internet is out of date, including the AI Overview’s own sources.

Frigate’s hardware documentation now states plainly: “The Coral is no longer recommended for new Frigate installations, except in deployments with particularly low power requirements or hardware incapable of utilizing alternative AI accelerators for object detection.” Frigate adds that it “will continue to provide support for the Coral TPU for as long as practicably possible,” so nobody with a working Coral is stranded.

Two things follow, and they save real money:

On an Intel box, the free option is the right one. The integrated GPU handles decoding via Quick Sync and runs detection through Frigate’s OpenVINO detector. One chip, both jobs, zero add-in cost. For the 1–12 camera range that covers most homes, this is the whole answer.

Where a dedicated accelerator genuinely helps, it’s Hailo now. Frigate states that it “supports both the Hailo-8 and Hailo-8L AI Acceleration Modules on compatible hardware platforms,” and lists them among its officially supported detectors. They are not cheap — and the price gap against the deprecated part is stark:

AcceleratorPrice (2026-07-30)Status in Frigate’s docs
Coral M.2, Dual Edge TPU$55.99“No longer recommended for new installations”
Hailo AI HAT+ (Pi 5), listed at 13 TOPS$129.99Supported detector
Hailo-8 M.2, listed at 26 TOPS$214.99Supported detector

Yes, the 26 TOPS Hailo-8 costs nearly four times the deprecated Coral, and the 13 TOPS HAT+ about twice. That tension is real, and none of the top-ranking pages we checked on 2026-07-30 resolves it, so here is the resolution: on an Intel machine you buy neither. OpenVINO on the iGPU is already paid for. Reach for a Hailo when you are on hardware with no usable iGPU — a Raspberry Pi 5, say — or when you are past a dozen busy cameras.

One shopping warning. Searching for these modules returns a swamp. In an automated Amazon US product search for “Hailo-8L M.2” on 2026-07-30, the returned listings included a Raspberry Pi case at $94.99, an NVMe adapter HAT at $25.99, and — in paid slots — CNC carbide inserts and a linear-motion stage. Read the title on every listing. The cheapest genuine Hailo-8 module we could verify was $214.99, not the $25.99 that a price sort will happily show you.

Boxes worth buying, priced 2026-07-30

MachineWhySpecsPrice
GMKtec G3S (entry)Lowest-cost pick in this table, for 1–4 low-activity cameras — but see the RAM caveat belowN95 · 8GB · 256GB SSD$249.99
Beelink EQ-series (N150)Newer N-series part; ships with RAM and storage includedN150 · 12GB LPDDR5 · 500GB$309
Beelink S12 Pro (best for most)16GB out of the box — the tier Frigate calls “highly recommended”N100 · 16GB DDR4 · 500GB$339

The trap that costs the most money in 2026: barebone boxes. A barebone mini PC with no RAM and no SSD looks like the value play, and it is not. RAM prices rose steeply through the 2026 memory shortage. The sticker on a barebone unit is a down payment — once you add a DDR5 SO-DIMM kit and an NVMe drive, a “cheap” barebone routinely lands above a complete box that shipped with both. Buy the machine that already includes RAM and storage, or buy a used enterprise micro that does. We work through that math in detail in our best mini PCs for a homelab guide.

If your NVR will also be your smart-home hub, the sizing question changes and we cover it separately in best mini PC for Home Assistant — that page is about a Home Assistant box that also watches a few cameras. This page is about a machine whose main job is cameras. If you want both roles isolated on one machine, our Home Assistant on Proxmox guide covers the virtualisation route.

Storage: where the real money leaks

Frigate’s docs are clear on roles. SSDs “are designed with advanced wear-leveling algorithms” and give you a responsive UI and quick clip retrieval — good for the OS and database. For the relentless 24/7 write load of recording, Frigate points at NVR-rated drives like WD Purple and Seagate SkyHawk, “engineered for 24/7 operation and continuous write workloads.”

Then you go shopping and find the pricing is a minefield. Live Amazon US, 2026-07-30:

DrivePriceCost per TB
Seagate SkyHawk 4TB (ST4000VXZ16)$149.99$37.50
WD Purple 6TB (WD60PURZ)$289.99$48.33
WD Purple 4TB (WD44PURZ)$219$54.75
WD Purple 3TB (WD33PURZ)$215$71.67
WD Purple 1TB (WD11PURZ)$162.94$162.94

Read that bottom row twice. The 1TB WD Purple at $162.94 costs more than the 4TB SkyHawk at $149.99 — you can buy four times the capacity for $12.95 less. And at identical 4TB capacity in the same NVR-rated class, the WD Purple carries a 46% premium over the SkyHawk.

Two rules fall out of it, both bounded to these prices. At this pricing, sub-4TB surveillance drives are never the value pick — run the per-TB number before buying a small one; the pattern usually reflects small capacities being stocked for replacement buyers rather than builders. And check both brands at your target capacity every time, because the badge premium moves and neither brand is reliably cheaper.

Three caveats stated plainly. These are single-listing snapshots taken on one day at one retailer, and they look high against pre-2026 street prices — drive prices move faster than we can re-publish, so treat the per-TB column as a method rather than a price list. Model numbers, capacities and the TOPS figures above are as given in the retailer listings on 2026-07-30, not verified against manufacturer spec sheets. And on annual workload rating — often cited as the reason to pay the WD premium — Seagate states that SkyHawk drives “can support workloads up to 180TB per year,” the same figure the WD Purple listing quotes. On that specification the two are equivalent, so it is not a reason to pay 46% more. We have not tested any of these drives; every rating here is the manufacturer’s own. For drive selection beyond surveillance duty, see best NAS hard drives.

Size it before you buy it. Retention days, camera count, resolution, and codec drive the number far more than intuition suggests — going from 1080p to 4K on eight cameras is not a small adjustment. Put your actual numbers into the Frigate NVR storage calculator and buy against the result. It also computes the /dev/shm value Frigate needs, which is the setting most first-time installs get wrong.

Don’t forget the network side

Cameras need power and bandwidth, and PoE switches are budgeted in watts, not ports. A switch with eight PoE ports and a 60W budget will not run eight 15W cameras. Work out the real figure with our PoE budget calculator before ordering, because “8-port PoE” tells you almost nothing about what it can actually power.

What we’d actually buy

  • Four 1080p cameras on a quiet property: Beelink S12 Pro (N100, 16GB) at $339, OpenVINO on the iGPU, one 4TB SkyHawk at $149.99. No accelerator. Around $490 all-in before cameras.
  • Eight cameras, mixed activity: the same 16GB tier is Frigate’s “highly recommended” line — stay on it, step the CPU to a Core i-series box, and move to 6TB or dual 4TB drives.
  • Twelve or more, busy scenes: this is where Frigate’s docs say multiple accelerators or a real GPU, and where a Hailo-8 at $214.99 starts earning its price.

The honest summary: for the majority of home installs, Frigate is not demanding hardware. It’s demanding about two specific things — AVX2 and hardware decoding — and generous about everything else. Most people over-buy the accelerator and under-buy the drive. Do it the other way around.

Sources

Frigate’s own documentation, fetched 2026-07-30:

Prices are a live Amazon US snapshot taken 2026-07-30 via automated retail lookup, with product titles read individually to exclude accessories and bundles. Per-TB figures are our arithmetic on those listed prices. We do not own a Frigate installation and publish no first-party benchmarks on this page; all capability claims are Frigate’s own words, quoted and linked.

Frequently asked questions

What are Frigate's minimum hardware requirements?
Frigate’s docs require a CPU with AVX and AVX2 instruction support, and list 4GB of RAM as the basic minimum for a very basic setup with a few cameras and a dedicated object-detection accelerator. Frigate raises that to 8GB as the minimum once you enable enrichments such as face recognition or license-plate recognition, and says 16GB is highly recommended for 8 or more cameras. The AVX requirement is the one that actually blocks purchases: Frigate notes that Intel Celeron and Pentium models prior to the 2020 Tiger Lake generation typically lack AVX, so a cheap used office box can be a dead end.
How much RAM does Frigate need?
Frigate publishes three tiers. 4GB is the basic minimum and assumes a few cameras plus a dedicated detector. 8GB is described as the minimum once you run AI enrichments like face or license-plate recognition. 16GB is highly recommended for most users with 8 or more cameras or heavy enrichment use. Note that Frigate also keeps recording cache in /dev/shm, which is sized separately from this - our Frigate storage calculator computes that value alongside the disk estimate.
Do you need a GPU for Frigate?
You do not need a discrete GPU, but you do need hardware video decoding, and that is what an integrated GPU provides. Frigate’s docs say it is highly recommended to use an integrated or discrete GPU for hardware acceleration, because decoding camera streams is the CPU-heavy part of the job. On a current Intel chip with a usable integrated GPU - which for these purposes means Tiger Lake or newer, per the AVX note - the iGPU covers decoding via Quick Sync and also runs object detection through Frigate’s OpenVINO detector, so one chip does both jobs and no add-in card is required for a typical home install.
Do I need a Coral TPU for Frigate in 2026?
For most new builds, no. Frigate’s own hardware documentation now states that the Coral is no longer recommended for new Frigate installations, except in deployments with particularly low power requirements or hardware incapable of using alternative AI accelerators. Frigate says it will continue supporting the Coral ‘for as long as practicably possible’, so existing Coral setups are not stranded. On an Intel box the free path is OpenVINO on the integrated GPU; where a dedicated accelerator genuinely helps, Frigate supports the Hailo-8 and Hailo-8L.
Does Frigate need an SSD?
Not strictly, but you want the right drive in the right role. Frigate’s docs note that modern SSDs use advanced wear-leveling and give a responsive UI and fast clip retrieval, which suits the operating system and database. For the continuous 24/7 recording writes, Frigate points to NVR-rated drives such as WD Purple or Seagate SkyHawk, which are engineered for 24/7 operation and continuous write workloads. The common build is a small SSD for the OS plus a surveillance-rated hard drive for footage.
How many cameras can an Intel N100 handle in Frigate?
Frigate’s recommended-hardware list includes the Beelink EQ13, an N100 mini PC, and describes it as able to run object detection on several 1080p cameras with low-medium activity. Frigate’s broader planning guidance sizes by activity as well as count: 1-6 cameras at low activity are served by a single entry-level accelerator, 6-12 at moderate activity need more processing power, and 12 or more at high activity call for multiple entry-level accelerators or a more powerful single unit such as a discrete GPU. Activity level matters as much as camera count, because detection only runs when motion triggers it.

Evidence ledger

Last updated
Methodology
This homelab guide was written and edited by Lowell K. Wood IV in St. Louis County, MO. Specs, prices, commands, and version numbers are drawn from the official vendor, reseller, and project documentation current on the date above, and were verified before publishing. First-person hardware claims appear only where the article shows a verifiable artifact — a photo, receipt, or measurement — or links to the TechFuelHQ Open Bench Datasets. Every fact is human-verified against its cited source before publishing; AI assists with first-draft structure and source-gathering, not with the verdict. Full editorial standard: methodology.
Update log
  • 2026-07-30 — Last reviewed and updated.
Corrections
Spotted an error or stale price? Email hello@techfuelhq.com. Confirmed corrections are added to the update log above.

About the author

Written by Lowell K. Wood IV. Lowell builds and runs TechFuelHQ from St. Louis, Missouri, pairing thirteen-plus years of hands-on homelab, PC, server, and networking experience with cited third-party testing and first-party benchmarks on the gear he still runs. He also works ground EMS as a Nationally Registered Paramedic (NREMT).