Visualizing Hidden GPU Inefficiencies to Accelerate AI Processing

"Revolutionizing AI Development Efficiency Through GPU Optimization with Fixstars AIBooster" is a practical white paper that addresses overlooked GPU-utilization challenges.

The Challenges This Paper Addresses

Most companies are not fully realizing the value of their GPU investments. A recent survey shows that 93% of organizations have GPU utilization below 85%. This white paper explains how to identify and resolve these hidden inefficiencies.

Key Features

• Reality Check: A data-driven look at actual GPU usage worldwide.
• Two Core Capabilities: Detailed explanations of the free visualization feature (PO) and the automated optimization feature (PI).
• Real-World Proof: Case studies from Sony Honda Mobility and Sakura Internet.
• Continuous Improvement: Applying Google and Meta’s methods to enterprise AI workloads.

Recommended For

• Infrastructure managers aiming to maximize ROI on GPUs.
• ML engineers seeking shorter training times.
• Engineers needing visibility beyond Datadog or New Relic.
• Executives evaluating cost optimization across multiple cloud environments.