AI / Deep Learning
Acceleration
As AI applications advance in areas such as autonomous driving and spatial recognition, AI software acceleration is becoming increasingly important. ailia is proficient in both AI and embedded domains, and through the synergy across these fields, we optimize and accelerate our clients' AI models. Furthermore, our AI computing technology maximizes performance even with limited resources, contributing to power-efficient and cost-effective implementations.
Common Client Challenges
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AI model developed but
device implementation stalled -
Want to reduce
AI server operating costs -
Lack of resources
to handle
optimization
Benefits of Acceleration
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Wider range of deployable devices
Even on devices with limited memory and computational performance, AI model optimization and implementation redesign can make deployment possible. This enables AI utilization on devices previously considered underpowered, expanding product deployment possibilities.
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Significant reduction in AI server operating costs
By optimizing and lightening AI models, processing speed improves, enabling reduction in power consumption and server costs compared to before.
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Reduce in-house workload and
enable the development you've been wanting to doBy outsourcing AI model optimization, you can allocate resources to developing new features and validating new ideas that you couldn't get to before. For companies looking to advance diverse development with limited personnel, this enables both development speed and flexibility.
Support Details
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AI model optimization
Provide us with your trained AI model, source code, and target device, and we will optimize it for proper operation on the device.
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Leveraging our proprietary AI framework development expertise
We leverage the performance of our in-house developed AI framework "ailia SDK" and flexibly add features on a per-project basis as needed.
Our Strengths
Software acceleration experts
specializing in AI & embedded implementation
Backed by deep expertise in semiconductor development, ailia delivers fundamental optimization and acceleration across both AI and embedded implementation. Our highly skilled engineers provide technically precise proposals and services for fast, efficient implementation tailored to each client's challenges.
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Optimization from both
AI and embedded perspectivesBecause we understand both AI model architecture and algorithms as well as the constraints of embedded hardware, we can accurately identify bottlenecks that traditional methods often overlook, and optimize them in the most effective way.
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Abundant talent in
computer scienceIn addition to deep technical understanding of AI and embedded domains, we have a wealth of engineers who can accurately grasp each client's specialized field and provide optimal technical proposals. We assign the right talent for each project, with a support structure that responds quickly to your needs.
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A fundamental approach leveraging
semiconductor development expertiseailia evolved from a veteran semiconductor company into an AI-focused organization. Leveraging semiconductor development know-how, we use hardware knowledge as a foundation to tackle software issues and optimize to the limit.
Our Services
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AI / Deep Learning Acceleration
Achieving acceleration by optimizing and implementing AI models
We optimize trained AI models for efficient operation on specific devices. We handle everything from model quantization to implementation in an integrated manner.
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Embedded Acceleration
Achieving stable operation in constrained embedded environments
Even on embedded devices with limited CPU performance and memory, we optimize from both AI and hardware perspectives to achieve fast and stable processing.
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Image Processing Acceleration
Accelerating the entire image processing pipeline including pre/post-processing
By optimizing not only AI but also image pre-processing and post-processing, we streamline overall processing for camera-based applications in inspection, surveillance, and more.
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GPU Acceleration
Dramatically accelerating computation with GPU power
For simulations, analytics, and other tasks, we maximize GPU parallel processing capabilities to achieve speeds impossible with CPU alone.
