Graphsignal: Inference Observability for AI Applications

Graphsignal is a powerful inference observability platform designed to provide deep insights into the performance and behavior of AI applications, particularly those powered by large language models (LLMs). It enables developers and data scientists to trace and profile LLM generations, monitor GPU and server metrics, and analyze performance across different models, hardware setups, and optimization configurations. Built for production environments, Graphsignal offers automatic monitoring of 100+ metrics, error tracking with contextual data, and low-overhead instrumentation that integrates seamlessly with popular frameworks like PyTorch, Hugging Face, vLLM, and FastAPI. With its intuitive dashboard and comprehensive analytics, Graphsignal empowers teams to optimize AI performance, detect issues early, and ensure reliability at scale.

Key Features:

• Inference Tracing & Profiling: Track LLM generations, communication, CUDA kernels, and batching with detailed insights.
• GPU & Server Monitoring: Monitor CPU/GPU utilization, memory usage, and server metrics in real-time.
• Error Monitoring: Detect and analyze errors and exceptions with stack traces, contextual data, and triggering conditions.
• Performance Analysis: Compare performance across models, versions, hardware, and configurations.
• Automated Metrics: Automatically collect 100+ inference and GPU metrics without manual setup.
• Low-Overhead Instrumentation: Minimal performance impact (<100 microseconds per trace) with auto-instrumentation and manual tracing options.
• Framework Integration: Seamless integration with NVIDIA, PyTorch, Hugging Face, vLLM, and FastAPI.
• Custom Tagging & Logging: Log generations with custom tags for better organization and analysis.
• Insightful Dashboard: Visualize latency, throughput, tokens per second, and compute performance at app.graphsignal.com.

Pricing: Graphsignal offers a freemium model with a free Startup plan that includes 10,000 traces, profiles, metrics, and errors, 5 team users, and 7 days of data retention. The Business plan starts at $50/month and includes per 100,000 traces, unlimited team users, and 30 days of data retention, with a 14-day free trial. Enterprise plans offer custom solutions, volume discounts, and on-premise options.

Conclusion: Graphsignal is an essential tool for developers and teams building and deploying AI applications, providing unparalleled visibility into LLM performance and infrastructure health. Its combination of powerful features, ease of integration, and flexible pricing makes it a top choice for optimizing and monitoring AI systems in production.