What is Graphsignal?
Graphsignal is a platform designed to enhance the performance of AI applications. It offers comprehensive tools for monitoring, profiling, and accelerating hosted Large Language Model (LLM) inference and model APIs. This ensures optimal performance and efficient resource utilization.
With Graphsignal, users gain full visibility into their AI systems, identifying and optimizing key latency contributors. It facilitates cost tracking and system monitoring and supports various platforms, including OpenAI, Azure, LangChain, Hugging Face, PyTorch, and vLLM.
Features
- Performance analysis: Identify and optimize the most significant contributors to latency.
- Inference profiling: Ensure optimal inference performance and model configuration for hosted models.
- Cost tracking: Analyze model API costs for deployments, models, sessions, or any custom tags.
- System monitoring: Track errors and monitor APIs, compute, and GPU utilization.
Use Cases
- Optimizing the performance of hosted LLM inference.
- Analyzing and reducing the cost of model API usage.
- Monitoring the health and resource utilization of AI systems.
- Debugging and troubleshooting issues in AI deployments.
- Improving the configuration of hosted AI models.
FAQs
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When is my subscription billed?
Subscriptions are billed at the beginning of each billing cycle, monthly or annually. Subscriptions only renew if they are not canceled prior to the renewal date. -
Is invoice billing available?
Yes, but only for some annual bundles. Please contact us for details. -
How safe is my credit card information?
We do not process or store credit card information. Subscription billing is handled by a trusted and compliant billing provider. -
Can I cancel my subscription at any time?
Yes. However, canceled subscriptions are not refunded and stay active until the end of the current billing cycle.
