Hyväksymme kryptoa — hallussasi olevat kolikot voivat näin ostaa oikeaa laitteistoa.Maksa kryptolla, käytä se oikeaan laitteistoon. Ilmainen vakuutettu toimitus maailmanlaajuisesti yli 399 $. Neutraalit, tuotemerkittömät ulkopakkaukset, lähetetään Saksasta.Ilmainen vakuutettu toimitus yli 399 $. Kurssisi lukitaan 30 minuutiksi heti, kun kassa avautuu.Kurssi lukittu 30 minuutiksi. Jokainen tuote on sinetöity, sen sarjanumero on tarkistettu, ja sillä on 24 kuukauden takuu.Sinetöity, 24 kuukauden takuu.

Seuratut tuotteet Kirjaudu sisään
Green development board with M.2 B+M key edge connector and silver heatsink

MCDODO

MCDODO Coral M.2 Accelerator B+M Key development board

SKU CH-B32K-JDMMA

Performs 4 trillion operations per second at .5 watts per TOPS, running MobileNet v2 at 400 FPS on Debian Linux with TensorFlow Lite and AutoML Vision Edge support

  • TypeSingle Board Computers
  • Edge TPU delivers 4 trillion ops/sec at .5 watts per TOPS
  • Runs MobileNet v2 at 400 FPS for real-time vision
  • Works with any Debian Linux system with M.2 slot
  • TensorFlow Lite models compile directly for Edge TPU
  • AutoML Vision Edge trains and deploys custom image models

Coral M.2 Accelerator B+M Key

The Coral M.2 Accelerator B+M Key is an IoT edge device designed for developers adding on-device machine-learning inference to Debian-based Linux systems. It targets makers and engineers who need a compact accelerator that fits a compatible M.2 slot without requiring a full single-board computer redesign.

4 TOPS Edge TPU capacity

The on-board Edge TPU coprocessor delivers 4 trillion operations per second and runs MobileNet v2 at 400 FPS, giving ample headroom for real-time vision tasks such as object detection or classification. Workloads that demand heavier models or sustained batch processing will exceed the available compute budget and require a higher-performance accelerator.

Efficient thermal profile

At .5 watts per TOPS the module draws very little power, so passive cooling in a typical enclosure is usually sufficient and audible fan noise is not a concern. Continuous heavy inference will raise the board temperature, but the low power envelope keeps thermal throttling rare in normal ambient conditions.

Kohokohdat

  • Edge TPU delivers 4 trillion ops/sec at .5 watts per TOPS
  • Runs MobileNet v2 at 400 FPS for real-time vision
  • Works with any Debian Linux system with M.2 slot
  • TensorFlow Lite models compile directly for Edge TPU
  • AutoML Vision Edge trains and deploys custom image models

Tekniset tiedot

TypeSingle Board Computers

Kysymyksiä tästä tuotteesta

Will the Coral M.2 Accelerator B+M Key fit in the M.2 slot on my older Debian Linux board?

It integrates with any Debian-based Linux system that has a compatible card module slot, so an older board with the correct M.2 interface will work.

How can I verify the Edge TPU is performing high-speed ML inferencing after installation?

You can confirm it is working by running a TensorFlow Lite model such as MobileNet v2 and observing inference speeds up to 400 FPS.

Does the box include any cables or a heatsink, or do I need to buy them separately?

The board is supplied as a standalone M.2 accelerator module; any mounting hardware, cooling or adapter cables must be sourced separately.

Myös tällä osastolla

Asiakkaat vertailivat myös näitä

Sama osasto, sama kassa — kahdeksan kryptovaluuttaa ja 30 minuutin kurssilukko.