Oro Workstations
Oro Workstations is now a dedicated portfolio destination inside Orospor.
Our proprietary Oro Cloud Workstations and enterprise thin-client model separate compute from the endpoint, enabling teams to render VFX, run AI workloads, compile heavy systems code, and manage secure remote operations from anywhere.
Oro Cloud Workstations
Enterprise Thin Clients
OroLink Remote Access
VDI & Bare Metal Provisioning
Managed Security Operations
Overview
Enterprise Compute, Decentralized.
The modern enterprise requires compute power that is decentralized, infinitely scalable, and relentlessly secure. Orospor engineers the hardware and virtual environments that eliminate operational bottlenecks. From bare-metal server provisioning to highly secured virtual desktop infrastructure, we build the foundation upon which global enterprises operate.
Uncompromising Power. Zero-Trust Hardware.
Oro Cloud Workstations are designed for extreme computational workloads, while thin clients keep local devices lightweight, hyper-secure, and free of retained data.
The End of Latency. The Future of Remote Engineering.
OroLink uses system-level engineering, customized compression, and routing optimizations to deliver a near-native remote experience.
Powering the Next Generation of Visual Effects.
We deploy render farms, secure asset-management networks, and media-grade pipelines for globally distributed studios working on terabytes of assets.
Forging Elite Technologists.
Orospor Academy trains teams on threat mitigation, infrastructure mastery, and secure system-level development practices.
Use Cases
Where the platform creates leverage.
GPU-accelerated cloud workstations for AI, simulation, and graphics-heavy teams
Enterprise thin-client rollouts with centralized fleet provisioning and wipe controls
Remote VFX and CGI pipelines with secure collaboration and render orchestration
Zero-trust workstation environments for security, compliance, and regulated operations
Training programs for internal teams operating Oro-based infrastructure