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4NME
MODEL
· 2.68
TOPS
· 2.68
TOPS
· Performs
high-speed ML learning and inference
· 2.68
TOPS
· RBF
architecture with RCE learning algorithm.
· Continuously
learning classifier with L1 and L-SUP Norm.
· KNN
inference capability.
· 2000
neurons.
· 512K
synapses.
· Up
to 128 different neural networks.
· Explainable
inference.
· Ultra-low
power (223 GOPS per watt).
· Linux
and Windows support.
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4TPU MODEL
· Performs high-speed ML inferencing.
·
The on-board Edge TPU coprocessor is capable of performing 4
trillion operations (tera-operations) per second (TOPS),
using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can
execute state-of-the-art mobile vision models such as MobileNet
v2 at almost 400 FPS, in a power efficient manner.
·
Supports all major platforms.
·
Debian Linux, macOS, or Windows 10.
· Supports TensorFlow
Lite.
· No need to build models
from the ground up.
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ENVIRONMENTAL
FEATURES (MIL-STD-810G)
· Armoured
enclosure
· Sealed
IP-68 (water / oil / dust)
· G-Shock proof
· Vibration
proof
· Military
temperature range
· EMI-Shield
· RH-PRD™
(Radiation Hardened)
· Customizable
MIL-DTL connectors
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