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Enot.ai cases
OBJECT DETECTION
Graph that shows base case, then optimized with enot.ai
Baseline
Enot.ai
7FPS
30FPS
Reduce costs
on target hardware
Speed up the NN
on the existing hardware
Introduce more features
Move AI computing onto edge
Speed up the NN
Reduce cloud costs
on the existing hardware
What do our clients benefit from enot.ai?
Get started by implementing only a few lines of code
Creativity is to discover a question that has never been asked. If one brings up an idiosyncratic question, the answer he gives will necessarily be unique as well.
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Technology
Creativity is to discover a question that has never been asked. If one brings up an idiosyncratic question, the answer he gives will necessarily be unique as well. Learn more
ENOT is a framework with a Python API that can be quickly and easily integrated within various neural network training pipelines
Product
Language
CNN
RNN
LSTM
DNN
ML Frameworks
Deployment
NN Types
Hardware Libraries
CPU
FGPA
GPU
NPU
Runtime
On-premises
On the cloud
Enot.ai products
Enot Lite
  • Inference engine for 2-4x NN acceleration
  • Perfect for: PyTorch/Tensorflow for inferencing on an Intel CPU/Nvidia GPU
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Enot Pro
  • Inference engine for up to 20x NN acceleration
  • Perfect for: users of PyTorch for NN training who can allocate up to 1 week of developer time
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Enot DB
The most widely used accelerated models
  • Perfect for: users well-known models who wants to significantly reduce computational resources consumption and achieving the same performance
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