Ready for AI. Right Now.

Deploy secure, GPU-accelerated desktops for AI development, model training, and experimentation — in minutes, not months.

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Give Your Data Teams the Power to Move Fast

Dizzion supports GPU-backed virtual desktops for AI/ML workflows — helping data scientists, engineers, and analysts experiment, iterate, and scale without infrastructure delays.

Workstation-class GPUs for AI/ML inference and training
Supports Jupyter, TensorFlow, PyTorch, and custom toolchains
Deep integration with identity providers and security controls
No procurement or physical provisioning required

Solution Mapping Section

Use Case Need

Best-Fit Solution

Why It Works

AI/ML experimentation
DaaS + GPU
Flexible configuration with support for containers, dev tools, and scaling
Training large models
Cloud PC Max-GPU
16-core, 64 GB RAM, and dedicated GPU for high-throughput computing
Secure team collaboration
Cloud PC or DaaS
Centralized access with integrated security, AD, and multi-user controls
Iterative ML workload scaling
Flex Credits
Resize or reallocate resources as models grow — no re-contracting required

“We spun up new AI environments for our data science team in hours — and scaled GPU as we grew.”

— Head of Data Science, SaaS Startup

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“Our engineers can access high-performance desktops from anywhere, without the cost of managing on-prem workstations.”

VP of Engineering, Product Design Firm

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“We stood up hundreds of desktops in less than a week — with no hardware shipped and no headaches.”

Director of IT, Healthcare Staffing Firm 

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“We’re giving students access to the tools they need — without being tied to a specific lab or building.”

CIO, Higher Education Institution

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Experience the difference

Launch a desktop in minutes and see how simple virtual desktop delivery can be — straight from your browser, no setup required.

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