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Fixstars Adds Autonomous Optimization Feature for Edge AI Inference to its AI Acceleration Platform "AIBooster"
Saturday, October 18, 2025
Enhances Autonomous Optimization for AI Training and Achieves Dramatic Improvement in AI Development Efficiency; Introduces SaaS Plan
IRVINE, Calif., Oct. 10, 2025 /PRNewswire/ -- Fixstars Corporation (TSE Prime: 3687, US Headquarters: Irvine, CA), a leading company in performance engineering technology, today announced the release of the latest version of its AI processing acceleration platform, "Fixstars AIBooster" (hereinafter "AIBooster"), with significantly expanded performance and features.
The latest version of AIBooster features two new functionalities: autonomous optimization via model compression for Edge AI inference, and autonomous hyperparameter optimization for AI training. Furthermore, a new plan offering the performance observation feature as a Software-as-a-Service (SaaS) solution has been introduced to significantly reduce the effort required for initial deployment and allow immediate use. Fixstars will continue to support customers in making their AI development cycles more efficient and faster, enabling AI utilization across various devices.
New Features of the Latest AIBooster
1. Autonomous Optimization for Edge AI InferenceWhen performing AI inference
on local devices such as in-vehicle systems or mobile devices (Edge AI
inference), limited computing and memory resources make it difficult to
run AI models as is. This previously required extensive trial and error
to tune models for each device. AIBooster's new autonomous optimization
feature solves this by automatically converting AI models for edge
devices while maintaining performance.The feature targets models built
with the common PyTorch framework and converts them into formats
optimized for each device using a model conversion backend. The initial
release supports NVIDIA TensorRT, optimizing inference in NVIDIA GPU
environments. By automating conversion and applying techniques such as
quantization and kernel fusion, it dramatically boosts inference speed
while reducing development time.
2. Enhanced Hyperparameter Autonomous Optimization for AI TrainingIn AI
model training, hyperparameters such as batch size and learning rate
greatly affect model accuracy and efficiency, but their optimization has
traditionally required extensive trial and error. The new autonomous
hyperparameter optimization feature integrates tuning across the model,
resources, and hardware to maximize overall training performance.Key
features include:Integrated Optimization: Balances model accuracy and
training efficiency while maximizing resource utilization.Hardware
Control: Automatically adjusts CPU core and GPU usage
schedules.Distributed Training Support: Operates efficiently in
large-scale environments such as Slurm and Kubernetes.The system outputs
trial data, initial and optimized settings, and improvement rates for
review. By visualizing and automating the optimization process, this
feature significantly enhances AI training efficiency and knowledge
acquisition.
3. SaaS-based Performance Observation FunctionThe latest AIBooster
introduces a SaaS-based performance observation feature that removes
setup complexity and allows users to start immediately.In the SaaS
version, performance data from GPU servers is stored in the cloud and
visualized in real time on a unified dashboard. It supports multi-cloud
and distributed environments, enabling system-, node-, and job-level
monitoring on one screen. Fixstars ensures SaaS security to protect
customers' AI data, while on-premise installation remains available for
flexible deployment.
About Fixstars Corporation
Fixstars accelerates AI inference and training through advanced software optimization. Its technologies drive innovation across industries including healthcare, manufacturing, finance, and mobility. For more information, visit https://www.fixstars.com/.
Media Contact:
Aki Asahara
(408) 400-3679
402507@email4pr.com
View original content to download multimedia:https://www.prnewswire.com/news-releases/fixstars-adds-autonomous-optimization-feature-for-edge-ai-inference-to-its-ai-acceleration-platform-aibooster-302580385.html
SOURCE Fixstars
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