Reinventing GPU Performance with Cutting-Edge AI Observation

Your strategic partner in conquering the GPU-powered landscape of tomorrow. Paving the way for accelerated
innovation, enhanced productivity, and a significant reduction in operational costs.

Extensive Data
Collection

selecting The Most
Valuable Data

Self-developed
Models

Auto scaling
& Scheduling

How It Works

It's a synergy of three seamlessly integrated, mature observation modules, tailored to the nuanced demands of GPU, module, and API monitoring. This integration empowers WhaleFlux to capture an extensive array of metrics, providing a comprehensive tracing system and detailed logging capabilities.

Collecting Rich Data from Every Layers

WhaleFlux collects thousands of different types of metrics from API layer, model layer and GPU layer to ensure the comprehensiveness of the observations.

Process and Analysis Metrics via Self-developed Adaptive Models

WhaleFlux has developed more than 10 adaptive models to process the massive amount of collected data. These self-developed models ensure that users get access to the most valuable metrics.

Auto-Scaling & Scheduling

By dynamically adjusting resource allocation, WhaleFlux ensures that your GPUs operate at the ideal balance of high efficiency and optimal load, thus stabilizing your systems, boosting utilization rates, and reducing unnecessary expenditures.

What Sets WhaleFlux Apart?

WhaleFlux selects key metrics through

Meticulous methodology
Substantial experimental data

Self-Developed Adaptive Models

Can be applied to ChatGLM\Llama\Mistralai\Qwen, etc
Powered by EmergingAI 

Dynamic Auto-Scaling & Scheduling

Speediness
No manual configuration required
Change logs are available for viewing

Excellent Performance

GPU utilization rate 90%
Latency -50%
Number of concurrent processing +200%
Availability +99%

*Experiment data