Speed up your AI model inference with Optimium while maintaining accuracy.
Speed up your AI model inference with
Optimium while maintaining accuracy. Sign up now!
Speed up your AI model inference with Optimium while maintaining accuracy.

RESOURCES

RESOURCES

PyTorch

TensorFlow

TF Lite

Model

Graph Parser

Graph

Optimization

Pipeline

Graph

Parser & Type Inference

Optimization
Pass Pipeline

Target
Converter

Nadya Compiler

3rd Party Framework

Hardware
Scheduling

& Execution

Runtime

CPU

GPU

NPU

PyTorch

TensorFlow

TF Lite

Model

Graph Parser

Graph

Optimization

Pipeline

Graph

Parser & Type Inference

Optimization Pass Pipeline

Target Converter

Nadya Compiler

3rd Party Framework

Hardware Scheduling & Execution

Runtime

CPU

GPU

NPU

PyTorch

TensorFlow

TF Lite

Model

Graph Parser

Graph

Optimization

Pipeline

Graph

Parser & Type Inference

Optimization Pass Pipeline

Target Converter

Nadya Compiler

3rd

Party

Framework

Hardware Scheduling & Execution

Runtime

CPU

GPU

NPU

Next-generation AI Inference
Optimization Engine

Next-generation AI Inference
Optimization Engine

Next-generation AI Inference
Optimization Engine

Catalyze your AI Inference with High-performance and Flexible tool

Catalyze your AI Inference with High-performance and Flexible tool

AI optimization technology is crucial for deploying and utilizing your AI models in real-world applications. Our next-generation AI inference optimization engine, Optimium, accelerates AI model inference on target hardware while maintaining accuracy. Additionally, Optimium facilitates convenient AI model deployment across various hardware platforms using a unified tool and optimizes resource efficiency within the target hardware. 
AI optimization technology is crucial for deploying and utilizing your AI models in real-world applications. Our next-generation AI inference optimization engine, Optimium, accelerates AI model inference on target hardware while maintaining accuracy. Additionally, Optimium facilitates convenient AI model deployment across various hardware platforms using a unified tool and optimizes resource efficiency within the target hardware. 

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FPS

0

FPS

BODY

HAND

SLOWER

DEFAULT

0

FPS

0

FPS

BODY

HAND

SLOWER

DEFAULT

0

FPS

0

FPS

BODY

HAND

SLOWER

DEFAULT

MODELS
MediaPipe
Pose Landmark(Lite)
MediaPipe
Face Landmark
MediaPipe
Palm Detection(Full)
MediaPipe
Face Detection(Full)
MediaPipe
Face Detection(Short)
MobileNet
V3
NasNet
Mobile
PROCESSORS
RaspberryPi 5
Cortex-A76
RaspberryPi 4
Cortex-A72
Qualcomm Snapdragon 8 Gen 2
Cortex-X2
AMD
Ryzen9 7950x
INFERENCE SPEED COMPARISON
TF Lite w/ XNNPACK
34,931μs
20,426μs
1.71x
MODELS
MediaPipe
Pose Landmark(Lite)
MediaPipe
Face Landmark
MediaPipe
Palm Detection(Full)
MediaPipe
Face Detection(Full)
MediaPipe
Face Detection(Short)
MobileNet
V3
NasNet
Mobile
PROCESSORS
RaspberryPi 5
Cortex-A76
RaspberryPi 4
Cortex-A72
Qualcomm Snapdragon 8 Gen 2
Cortex-X2
AMD
Ryzen9 7950x
INFERENCE SPEED COMPARISON
TF Lite w/ XNNPACK
34,931μs
20,426μs
1.71x

Benefits

Maximize inference speed either to meet your production target or to minimize operation cost

Build once & deploy everywhere and avoid hassle of using multiple tools for each target

Accelerate time-to-market by minimizing time spent on optimizing AI models manually

© 2024 ENERZAi Inc. All rights reserved

© 2024 ENERZAi Inc. All rights reserved

© 2024 ENERZAi Inc. All rights reserved