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Is your cloud GPU bill costing you more than owning?
Answer 3 quick questions about your AI workload and cloud spend. We'll show you exactly how fast a VRLA Tech system pays for itself — and which one fits your needs.
4–8 wkAverage break-even
$0Surprise billing ever
Since 2016Building AI systems
LA-basedUS support team
✓3-year parts warranty
✓Lifetime US-based support
✓48-hr burn-in certified
✓Live pricing — always current
✓Ships in 5–10 business days
How it works
Three questions. One clear answer.
No forms, no sales call required. Tell us about your workload and current cloud spend and we do the rest.
1
Tell us your workload
LLM training, inference, generative AI, data science — we match the right system to what you're actually running.
2
Enter your cloud spend
Slide to your current monthly GPU cost. Most teams spend $3k–$15k/mo on cloud compute alone.
3
Adjust your config price
We show a starting price pulled live from our site. Edit it to match your exact configuration and see your real break-even instantly.
Your ROI calculator
Prices update live from vrlatech.com
Cloud vs. own — AI ROI calculator
Find your ideal system and see exactly how fast it pays for itself
What are you primarily running?
LLM trainingFine-tuning, pre-training large models
Inference & servingRunning models in production
Generative AIDiffusion, image/video generation
Data scienceML pipelines, analytics, research
All of the aboveMixed or growing workloads
How many people need access to this system?
Just meSolo researcher or developer
Small team2–5 people
Growing team6–20 people
Enterprise20+ people or multi-tenant
Your current cloud GPU spend
Fetching live pricing from VRLA Tech...
Break-even—
Cloud total—
VRLA total—
You save—
Cost over full lifespan
Full breakdown
| Cloud GPU rental (full term) | — |
| VRLA Tech system (upfront) | — |
| Maintenance over lifespan | — |
| Break-even point | — |
| Net savings | — |
Adjust your system price
The price below is the starting configuration pulled live from our site. Once you configure your exact system on the product page, enter that price here to see your real ROI.
$
Starting price from vrlatech.com
What customers say
Trusted by AI teams and professionals
Real reviews from researchers, engineers, and studios across the US.
★★★★★"VRLA Tech delivered fast and strong. Got my project up and running ASAP — I've already been back 3 times."
★★★★★"Far more valuable to have a professional team ensure build quality, shipping, and a two-year warranty on their computers."
★★★★★"Not HP, Lenovo, or Dell leading the way — VRLA Tech was first to market with the Threadripper Pro 9995WX workstation."
Common questions
What people ask before buying
Everything you need to know about owning your AI compute.
How accurate is the ROI calculation?
The calculator pulls live pricing directly from our product pages. You can also enter your exact configured price after building your system on the product page for a fully accurate result.How fast does a VRLA Tech AI workstation pay for itself vs. cloud?
Most customers break even in 4–8 weeks compared to equivalent monthly cloud GPU costs on AWS, GCP, Lambda Labs, or CoreWeave. The exact timeline depends on your monthly spend and the system you choose.What if I don't know my exact cloud GPU cost?
Check your AWS, GCP, or Lambda Labs invoice for your monthly GPU line item. Even a rough number gives a solid break-even estimate. Most AI teams spending over $2,000/month on cloud GPU find immediate ROI in owning.Can I get a custom AI workstation or server configuration?
Absolutely. Every VRLA Tech system is fully configurable with AMD EPYC, Threadripper PRO, Intel Xeon, and NVIDIA RTX PRO Blackwell GPUs. Request a quote and our Chatsworth, CA engineering team will spec the exact system for your workload.How long does it take to receive a system?
Most systems ship within 5–10 business days from our warehouse in Chatsworth, CA. Contact our team to discuss options for urgent deployments.What AI frameworks are VRLA Tech systems validated for?
All VRLA Tech AI systems are validated for TensorFlow, PyTorch, JAX, Hugging Face Transformers, DeepSpeed, CUDA, cuDNN, TensorRT, vLLM, TensorRT-LLM, Stable Diffusion, ComfyUI, LLaMA, Mistral, and all major AI frameworks. Every system ships with drivers pre-installed and burn-in tested.Is VRLA Tech better than buying from Dell, HP, or Lenovo?
VRLA Tech was first to market with the AMD Ryzen Threadripper Pro 9995WX workstation — before Dell, HP, or Lenovo, as covered by TechRadar. Unlike large OEMs, VRLA Tech builds custom configurations tuned to your exact AI workload, with faster lead times and direct access to US-based engineers.
