Reliable AI starts with Reliable systems

The Gremlin Reliability Platform helps you prevent outages before they happen, creating more reliable AI services and AI-enabled applications.

Gremlin is trusted by teams worldwide

Gremlin can safely and securely inject failure to find weaknesses before they cause customer-facing issues.

Site Reliability Engineer

Top Freelance Marketplace Organization

AI (artificial intelligence) failures can pose significant risks to your organization’s reputation and customer trust, which means a single outage or incident can cause real financial impact. At the same time, AI applications are complex and constantly shifting, with use patterns and architecture requirements that create their own unique potential points of failure.

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Track down those failures and prevent them from causing outages using the Gremlin Reliability Platform. Gremlin’s combination of Chaos Engineering experiments and standardized Reliability Test Suites lets you uncover possible failures and build automated processes to detect and prevent them from impacting customers.

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Keep your AI applications performant and available with Gremlin.

How Gremlin keeps AI reliable

Test scalability in the face of extreme usage spikes

AI usage often spikes one moment during a query, then drops just as severely the next. Gremlin helps you make sure your AI applications can scale up and down as needed by creating resource loads and heavy traffic spikes—including a test specifically made to create heavy usage spikes on GPUs.

Keep data available for AI

Data is the backbone of any AI application. Gremlin helps you make sure your AI will stay performant even under heavy data loads, high network traffic, or when specific databases are unavailable. Prevent database-related failures by running network connectivity tests, data resource tests, and status tests.

Standardized test suites and risk monitoring

It’s not enough that one team can spot a handful of failures. Gremlin helps ensure your entire system is resilient to common failures and meets core reliability standards. Use Gremlin to operationalize reliability tests across your organization with standardized, automated Reliability Test Suites and Detected Risks.

Test all of your architectures and systems

Remove testing blind spots and get complete confidence in your AI application's reliability. Gremlin uncovers failures across all of your systems, including the infrastructure, network, Kubernetes, and application levels. With Gremlin, you gain peace of mind by proving your system’s resilience to known failures across your entire stack.

Shift from observing to improving

Gremlin enables teams to proactively improve reliability at every stage of maturity.

experimenting

Custom Chaos Tests & Experiments

Robust, customizable chaos tests to safely replicate any incident scenario.

Standardizing

Standardized Reliability Tests

Pre-built test suite to cover the most common reliability risks. Get started in minutes.

Scaling

Automated & Scaled Reliability Programs

Standardized scoring tools to identify and prioritize risks, and build reliability programs.

Related resources

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Reliable AI models, simulations, and more with Gremlin's GPU experiment

by Andre Newman on Dec 2, 2024

Build more resilient machine learning and AI models, video streaming, simulations, and more with Gremlin’s GPU experiment.

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What is Reliability Management?

by Andre Newman on Oct 20, 2022

Learn the principles of Reliability Management and how it enables teams to proactively measure and improve reliability.

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Your reliability scorecard: How to measure and track service reliability

by Andre Newman on Mar 5, 2024

Learn how Gremlin helps you track and manage your progress towards improved reliability with its comprehensive, built-in reporting tools.