Graphsignal
A production-scale inference profiler designed to optimize AI models, engines, and GPU hardware performance.
Category: AI Data Analysis
Overview
Graphsignal is an observability and profiling platform built specifically for AI inference workloads. It provides deep visibility into model performance, hardware utilization, and system-level metrics to help developers identify and resolve bottlenecks.
How to use it?
Developers install the Graphsignal profiler into their inference stack, which includes support for frameworks like PyTorch, vLLM, and TensorRT. Once integrated, the platform automatically monitors and traces inference operations, providing telemetry data through a dashboard to guide optimization efforts.
Features
Inference profiling, LLM generation tracing, System-level metrics, Error monitoring, AI agent telemetry, Low-overhead kernel attribution
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