HynixCloud provides a unified cloud platform that lets users launch on-demand NVIDIA GPU instances—including H200, H100, A100, L4, and V100—via a web console or API, with integrated compute, storage, and networking. The service offers pay‑as‑you‑go pricing and a free trial, enabling startups, researchers, and enterprises to scale AI training, inference, or graphics workloads without managing physical hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need high‑performance AI, machine‑learning, or graphics workloads must provision and manage expensive GPU hardware, often facing complex setup, limited scalability, and high upfront costs.
Solution
HynaxCloud offers a unified cloud platform that provides on‑demand access to a range of NVIDIA GPUs—including H200, H100, A100, L4, and Tesla V100—through a single interface. Users can launch GPU instances for training, inference, or graphics acceleration without managing physical hardware. The service bundles compute, networking, and storage, allowing workloads to scale instantly and be billed per usage. Integrated documentation and API endpoints simplify provisioning, while the platform’s “start for free” option lowers entry barriers for startups, academic projects, and enterprise teams.
Target Audience
Primary customers are startups, academic research groups, and enterprises that require scalable GPU compute for AI model development, data‑intensive simulations, or high‑performance graphics workloads.
Features
- On‑demand GPU instances with multiple NVIDIA models (H200, H100, A100, L4, V100) to match performance and cost requirements
- Unified web console and API for rapid provisioning, scaling, and monitoring of compute resources
- Pay‑as‑you‑go pricing with a free trial tier to reduce initial investment
- Pre‑configured environments optimized for AI training, inference, and graphics rendering
- Integrated storage and networking to support end‑to‑end HPC pipelines
- Support for CPU compute, bare‑metal servers, and managed services alongside GPU offerings