
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 state and enabling multi-model APIs on a single box. The platform delivers cold starts under 2 seconds and aims for high GPU utilization by supporting dense model deployments across a shared GPU pool. It is hardware-agnostic, can run on existing GPU infrastructure, cloud environments, or accelerators, and integrates underneath existing inference stacks rather than replacing them. InferX is designed for high-throughput, long-tail inference at scale across large model catalogs for businesses seeking efficient AI deployment.

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 state and enabling multi-model APIs on a single box. The platform delivers cold starts under 2 seconds and aims for high GPU utilization by supporting dense model deployments across a shared GPU pool. It is hardware-agnostic, can run on existing GPU infrastructure, cloud environments, or accelerators, and integrates underneath existing inference stacks rather than replacing them. InferX is designed for high-throughput, long-tail inference at scale across large model catalogs for businesses seeking efficient AI deployment.
Stage: Pre-Seed / early-stage
Headquarters: Seattle, Washington
Product: Serverless, multi-model inference platform with sub-2s cold starts
Founder: Prashanth V.
| Company |
|---|
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.