VRLA Tech
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RETURN POLICY

VRLA Tech, LLC (“VRLA”) values its relationship with its clients and is dedicated to providing the best customer service possible. If you are not satisfied with your purchase we will make every effort to assist you.

Standard Return Policy for Products Under Warranty. All products may be returned or exchanged within thirty (30) days after receipt in accordance with the terms and conditions. Please contact VRLA for technical support. VRLA will work to assist you with your product. If VRLA is unable to identify the problem then Buyer will be required to fill out the Return Merchandise Authorization (RMA) form. An RMA reference number will be issued upon completion.

Damaged or Defective Items. Once a product is delivered, it is Buyers responsibility to inspect the product and inform VRLA of any discrepancies within five (5) days of receipt. All requests made after 5 days will be handled on a case-to-case basis.

Restocking Fee. Unless a product is defective or the return is a result of VRLA error, VRLA will charge a restocking fee of 20% of the purchase price paid, plus any applicable sales tax.

Software. Software returns will be handled on a case-to-case basis.

How to Return a Product: Buyer must fill out an RMA form and obtain an RMA reference number before the end of the applicable return period. VRLA will not accept returns without an RMA reference number. Please note that the limited hardware warranty does not cover any failure to safely package return. If shipping damage occurs due to improper return packaging, your RMA will automatically be rejected and returned to the sender. Once VRLA receives the product, your return will be thoroughly inspected and refund will be issued according to our terms and conditions, and warranty policy. Refunds will only be issued back to the original form of payment. Original shipping and handling charges may not be refunded.

All Products Must Have a Shipping Label Addressed to:

VRLA Tech, LLC.
Returns Department
RMA Reference #
6731 Variel Ave.
Canoga Park, CA 91303

Before Buyer returns a product to VRLA, it is Buyers responsibility to back up all data in the product and remove all confidential, proprietary and personal information as well as removable media such as flash drives, CDs and PC Cards. VRLA is not responsible for any confidential, proprietary or personal information; lost or corrupted data; or damaged or lost removable media.

NOTIFY ME We will inform you when the product arrives in stock. Please leave your valid email address below.
U.S Based Support
Based in Los Angeles, our U.S.-based engineering team supports customers across the United States, Canada, and globally. You get direct access to real engineers, fast response times, and rapid deployment with reliable parts availability and professional service for mission-critical systems.
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Expert Guidance You Can Trust
Companies rely on our engineering team for optimal hardware configuration, CUDA and model compatibility, thermal and airflow planning, and AI workload sizing to avoid bottlenecks. The result is a precisely built system that maximizes performance, prevents misconfigurations, and eliminates unnecessary hardware overspend.
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Reliable 24/7 Performance
Every system is fully tested, thermally validated, and burn-in certified to ensure reliable 24/7 operation. Built for long AI training cycles and production workloads, these enterprise-grade workstations minimize downtime, reduce failure risk, and deliver consistent performance for mission-critical teams.
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Future Proof Hardware
Built for AI training, machine learning, and data-intensive workloads, our high-performance workstations eliminate bottlenecks, reduce training time, and accelerate deployment. Designed for enterprise teams, these scalable systems deliver faster iteration, reliable performance, and future-ready infrastructure for demanding production environments.
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Engineers Need Faster Iteration
Slow training slows product velocity. Our high-performance systems eliminate queues and throttling, enabling instant experimentation. Faster iteration and shorter shipping cycles keep engineers unblocked, operating at startup speed while meeting enterprise demands for reliability, scalability, and long-term growth today globally.
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Cloud Cost are Insane
Cloud GPUs are convenient, until they become your largest monthly expense. Our workstations and servers often pay for themselves in 4–8 weeks, giving you predictable, fixed-cost compute with no surprise billing and no resource throttling.
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