
Test the future of AI-powered search

Meta's custom AI chips for efficient internal ranking, recommendations, and generative AI.
Google Search Labs: Test the future of AI-powered search. Meta Training and Inference Accelerator (MTIA): Meta's custom AI chips for efficient internal ranking, recommendations, and generative AI.. Both tools take different approaches to address similar needs.
Google Search Labs offers a free plan, while Meta Training and Inference Accelerator (MTIA) is a contact tool.
The best choice between Google Search Labs and Meta Training and Inference Accelerator (MTIA) depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Google Search Labs is primarily designed for individuals, while Meta Training and Inference Accelerator (MTIA) is built for businesses and professionals.
Google Search Labs offers: Search Generative Experience (SGE), AI-powered search overviews, Coding tips and snippets in search, Add to Sheets integration. Meta Training and Inference Accelerator (MTIA) offers: Optimized for AI inference workloads, with an "inference-first" design approach, Higher HBM bandwidth compared to existing commercial products for inference, Supports custom low-precision data types like MX4 and MX8 for increased efficiency, Software stack runs natively on PyTorch, vLLM, and Triton.
Based on our data, Google Search Labs currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.