In 2025, organizations are still shipping high-performance laptops around the world to support CAD, 3D, and other GPU-intensive workflows. It’s expensive. It’s slow. And in most cases, it’s completely unnecessary.

The Old Model: Overbuilt and Underused

Procurement teams are buying $5,000+ workstations to support users who only need GPU access a few hours per week. Those machines often sit idle, locked in transit, or unaccounted for after projects end. And let’s not forget the delays—shipping, imaging, configuring, and securing these devices takes weeks.

According to Run:AI’s 2023 State of AI Infrastructure Survey, only 28% of organizations have on-demand access to GPU compute, and 89% report frequent allocation issues. In fact, 40% encounter allocation problems weekly, often resulting in idle teams and delayed work.

And when GPUs aren’t available, projects suffer. A Techstrong.ai survey found that 85% of AI professionals report delays due to GPU scarcity, with 39% saying those delays stretched between three and six months.

The real kicker? In most cases, users don’t need a permanent GPU machine. They just need secure access to GPU compute when the work requires it.

The Problem Isn’t the Work. It’s the Delivery Model.

Field teams, QA engineers, CAD designers, and third-party contractors all need GPU access but not all the time. Traditional delivery methods assume every user is a full-time power user. That leads to:

• Overprovisioned hardware that eats up budget
• Supply chain delays that slow down onboarding
• Lost or unsecured endpoints
• Inflexible systems that don’t scale with project needs

And the security risks are real. As TierPoint notes, GPU-powered workloads often involve sensitive data, and shipping devices expands the attack surface. Cloud-based GPU access with proper controls offers a safer alternative for distributed work.

There’s a Better Way: GPU Access That Fits the Work

What if users could launch GPU-enabled applications through a browser? No laptop. No imaging. No shipping delays.

Sonet.io gives organizations an alternative: right-sized GPU access, delivered instantly through the cloud. Whether a user needs fractional GPU power once a week or full GPU compute for short-term projects, Sonet.io adapts without the cost, delay, or hardware sprawl.

Why Enterprises Are Making the Switch

• Lower Total Cost – No hardware procurement, no CapEx
• Faster Time to Productivity – Add users in minutes, not weeks
• Improved Security – No data on endpoints, full session recording, and policy-driven DLP for sensitive workflows
• Global & Contractor-Friendly – Onboard anyone, anywhere, without device management
  

The Bottom Line

If your 2025 GPU strategy still relies on shipping $5K laptops to global teams, it’s time for a rethink. Deliver the power your users need, when they need it, without the hardware drag.

Ready to modernize GPU delivery?

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