Key Takeaways
- Keysight Technologies, Inc. has launched the Keysight AI Inference Builder (KAI Inference Builder) platform for validating AI inference infrastructure at scale.
- The platform provides emulation and analytics capabilities to optimize AI data center infrastructure, architectures, and performance.
- KAI Inference Builder addresses the need for accurate inference behavior emulation, which is crucial for ROI in the AI industry.
- The platform supports real-world inference performance measurement, validation, and optimization for AI cloud providers, hardware vendors, and application developers.
Introduction to Keysight AI Inference Builder
Keysight Technologies, Inc. has introduced a groundbreaking platform designed to validate inference-optimized AI infrastructure at scale. The Keysight AI Inference Builder (KAI Inference Builder) is an emulation and analytics platform that recreates realistic inference workload patterns, modeling industry-specific usage patterns to validate AI infrastructure, applications, and data center deployments.
The Need for Accurate Inference Behavior Emulation
As the AI industry shifts from training large language models (LLMs) to deploying them, optimizing inference has become a critical factor for return on investment (ROI). However, inference behavior is highly dynamic and challenging to emulate using traditional testing methods such as synthetic traffic generation or GPU benchmarks. These methods cannot accurately reproduce the latency-sensitive workload behavior of AI inferencing across compute, networking, memory, storage, and security layers.
KAI Inference Builder Capabilities
The KAI Inference Builder platform closes the gap by providing a scalable solution for measuring, validating, and optimizing real-world inference performance. The platform's key benefits include:
| Feature | Description |
|---|---|
| Emulation | Recreates realistic inference workload patterns |
| Analytics | Provides insights into AI infrastructure, applications, and data center deployments |
| Scalability | Supports large-scale AI infrastructure validation |
| Industry-specific modeling | Models industry-specific usage patterns for accurate validation |
Use Cases and Applications
KAI Inference Builder is designed to support AI cloud providers, hardware vendors, and application developers in optimizing their AI infrastructure and applications. The platform can be used to validate and optimize AI data center infrastructure, architectures, and performance, ensuring accurate and reliable inference behavior.
Bottom Line
In conclusion, the Keysight AI Inference Builder platform addresses a critical need in the AI industry by providing a scalable solution for validating and optimizing AI inference infrastructure at scale. With its emulation and analytics capabilities, KAI Inference Builder enables AI cloud providers, hardware vendors, and application developers to measure, validate, and optimize real-world inference performance, ultimately driving better ROI and more efficient AI deployments.