Inference.ai empowers organisations and educators to “10× your number of workloads” via fractional GPU virtualization. With average on‑card GPU utilization hovering between 10–30%, the platform enables users to run multiple models per GPU and significantly increase throughput, while delivering access to NVIDIA & AMD hardware.
Inference.ai: Designing Scalable Interfaces for AI-Powered Education
The platform built from the ground up a multi‑tenant SaaS system designed for universities and student use. It includes end‑user onboarding, institutional account hierarchies, quota/top‑up workflows, real‑time monitoring of GPU/CPU/RAM, and self‑service provisioning.
The light‑mode, vibrant‑pink‑accented UI intentionally diverged from the dark‑data‑center aesthetic common in AI tools, offering a fresh and inviting experience for learners and researchers alike.
Inference.ai introduced real-time metrics visualizations for CPU, RAM, and GPU usage, enabling users to optimize their training environments with confidence.
