Fixstars Releases AI Tool to Boost GPU Efficiency
Fixstars Corporation, a leading name in performance engineering, has launched a free downloadable version of its Fixstars AI Booster (FAIB) software.
By design, it supports AI development and operations. FAIB identifies and accelerates AI processing bottlenecks across GPU environmentsâwhether on-premises or in the cloud.
The move follows a successful pilot programme started in January 2025 and reflects Fixstarsâ strategic commitment to improving AI infrastructure efficiency for enterprises across industries, including telecommunications.
Addressing the challenge of AI infrastructure at scale
As AI applications grow in complexity and scale, particularly with the rise of large language models (LLMs) and real-time inference, organisations face mounting pressure to optimise their computing environments.
High-performance GPU clusters are central to modern AI workloads, but underutilisation and bottlenecks often reduce effectiveness.
Fixstars AI Booster addresses the challenge by providing real-time monitoring and continuous optimisation of GPU usage. The tool helps development teams identify inefficiencies in inference and training workflows and improves the utilisation rate of critical computing resources.
Supporting next-generation telecoms and mobility
Fixstars AI Booster features in advanced use cases, including in the autonomous driving AI environment developed by Sony Honda Mobility Inc. for its upcoming âAFEELAâ mobility brand.
By helping to accelerate machine learning processes, FAIB enables faster innovation in sectors where processing speed and hardware performance are mission-critical.
The software is used in a joint R&D initiative between Optage Inc. and GMI Cloud, where it supports creating high-efficiency GPU infrastructure. Additionally, telecommunications companies have adopted FAIB to enhance operational performance across varied AI workloads.
“Recent advances in AI have sharply increased the demand for high-performance computing, especially GPUs.
“To reduce training time and improve inference speed, it’s essential to visualise GPU usage and AI processing bottlenecks and continuously optimise them.”
The newly available free version of FAIB makes observability and optimisation accessible to a broader audience of developers and IT leaders, particularly those managing large-scale telecommunications and cloud environments.
Key Features: performance observability and intelligence
- Performance Observability (PO): Continuously monitors GPU and system resource usage, visualises trends over time and provides unified monitoring across hybrid and heterogeneous environments. PO includes metrics for CPU, GPU (CUDA cores), memory, storage, network and software profiling.
- Performance Intelligence (PI) uses observability data to identify processing bottlenecks, suggest improvements and automate optimisation processes. PI includes analytical tools for engineers and is free for the first month; charges apply based on GPU usage thereafter.
FAIB supports Debian-based Linux environments (verified on Ubuntu 22.04 LTS) and needs an internet connection for installation and updates. Installation is straightforward and product usage data is collected strictly for quality improvement, with no access to customer-specific programmes or performance metrics.
A strategic move toward scalable AI performance
For telecommunications providers and digital infrastructure operators, the ability to fine-tune GPU performance can result in significant operational savings and enhanced service delivery.
Fixstars AI Booster presents a compelling solution to reduce cost, improve AI pipeline efficiency and maintain agility in the face of accelerating computational demands.
With its PO module and flexible PI functionality, Fixstars is offering a powerful tool for businesses looking to keep pace with AI systems' evolving performance requirements without compromising visibility or control.
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