
InferX provides ultra-fast, scalable AI model inference by running many models on demand. It operates as a serverless inference platform at the runtime layer, treating models as swappable execution…

InferX provides ultra-fast, scalable AI model inference by running many models on demand. It operates as a serverless inference platform at the runtime layer, treating models as swappable execution…
Stage: Pre-Seed / early-stage
Headquarters: Seattle, Washington
Product: Serverless, multi-model inference platform with sub-2s cold starts
Founder: Prashanth V.
AI model inference / AI infrastructure
2025
Data and Analytics
Pre-seed round listed on Crunchbase; announced Dec 10, 2024 in Crunchbase entry.
$2.6M
Dealroom/Crunchbase funding-round entries list a Dec 2024 seed round (~$2.6M) with participating investors.
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Company Description
InferX is an innovative serverless inference platform designed for ultra-fast, efficient, and scalable AI model deployment. The platform excels with features such as sub-2-second cold starts for large models, GPU slicing for optimized workload distribution, super high model deployment density, and 80%+ GPU utilization through Just-In-Time scaling. Supporting large language models, vision models, and tailored AI pipelines, InferX ensures optimized performance with reduced latency and cost efficiency. It's a powerful solution for delivering next-generation AI applications with ease and precision.
Role Description
This is a full-time remote opportunity for a Community Engineer. The role involves fostering and managing a robust community of AI developers and engineers leveraging InferX. Responsibilities include engaging with the AI/ML community, hosting online events and webinars, creating documentation and tutorials, and collecting and analyzing user feedback. You will also work closely with the product team to drive adoption, resolve user issues, and enhance their overall experience with InferX.
Qualifications
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