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Cloud labs for GPU-heavy courses

Virtual computer labs. Pilot first.

Premiere, Maya and Unreal on hosted GPU workstations. A pilot with your students and licences comes before any quote.

Managed hosting since 2009. A 24/7 operations desk.

Your timetable

  • Batch A109:00 to 12:00Premiere Pro
  • Batch B213:00 to 16:00Maya
  • Batch C116:00 to 18:00Unreal Engine

What we run

  • GPU workstations
  • Lab platform and monitoring
  • A 24/7 desk behind them

Businesses we’ve hosted and supported since 2009

  • RR Kabel
  • PC Jeweller
  • Impresario
  • Loom
  • Bhima Gold

What is a virtual computer lab?

A virtual computer lab lets students use hosted computers for coursework from their own screen. The programs run on servers in a data centre; the student’s device shows the screen and sends keyboard, mouse and pen input. It runs on virtual desktop infrastructure (VDI). ZenoCloud’s pilot is for GPU-heavy courses.

Who it is for

Built for GPU-heavy courses.

Creative coursework is the starting point. CAD and AI requirements need their own licence checks and pilot tests before anything is promised.

  • Animation, VFX, design and film

    Premiere Pro, After Effects, Maya and Unreal Engine on your education licences. Proposed pilot workloads.

  • Engineering and architecture CAD/BIM

    AutoCAD, Revit, SolidWorks and similar tools, to be tested in your pilot.

  • AI and data-science labs

    AI coursework requirements assessed before a desktop or notebook pilot is chosen.

  • Training institutes and skill centres

    One lab image for every centre, booked by batch in each city.

  • Universities with distance learners

    The same desktop from campus or home, to be tested from your students’ cities.

Application licences, vendor support and versions are checked separately before pilot testing. Education eligibility is not automatic for training institutes; each vendor decides.

Seat levels

Three seat levels, sized by course.

Starting points, to be confirmed in your pilot. The pilot measures how many seats of each level share one GPU card for your exercises; the quote uses that number.

LevelForStarting shape, to be confirmedTypical courses
Level 1 2D, office tools, codingSmall or no GPU slice; 8 to 16 GB RAM classGraphic design basics, programming, office skills
Level 2 Creative and CADAbout an 8 GB GPU profile; 32 GB RAM classPremiere Pro, Maya, AutoCAD, Revit
Level 3 Heavy 3D and real-time engines16 to 48 GB GPU profilesUnreal Engine, simulation

Profiles are NVIDIA virtual-workstation profiles on L4, L40S and RTX PRO 6000 cards. The pilot decides which level a course needs from your project files, not this table.

At the student’s end

  • A Windows, macOS or Linux PC, laptop or thin client that decodes the remote display.
  • A stable broadband or campus connection. Bandwidth per seat is measured in the pilot.
  • A pen tablet or second display if needed, to be tested in the pilot.
How it works

The facts, in one place.

Where it runs
NVIDIA GPU servers in India.
Who runs the pilot
ZenoCloud builds it and runs it with a 24/7 desk behind the servers.
Company and hosting
Indian company since 2009; Indian lab-software partner.
How students connect
A desktop app on a lab PC, laptop or thin client, from campus or home.
How we size it
Students at once set compute; students enrolled set licences and storage. Pilot results set capacity.
What you supply
Eligible application licences, student accounts, timetable, computers and internet access.
What we supply
GPU servers, lab platform, course software setup, project storage, monitoring, IT-team support.
Windows
Eligible institution-held Windows licences, checked before the pilot.

Each line has a fuller answer in the questions below.

Three ways to run a lab

Compare three lab setups.

Common arrangements, not exclusive categories: a per-hour workstation is also virtual, and a campus lab can add remote access. The pilot shows which rows matter for you.

TopicGPU lab on campusVirtual computer lab (this page)Per-hour cloud workstation
Cost structure Purchase or lease per seat, plus maintenance, power and licences; refreshed every few yearsPilot fee agreed first; then reserved capacity by the month, sized to students at onceHourly fee while it runs, often plus a base fee or storage charge
Upkeep Your IT maintains each PC, image and GPU driverWe maintain servers, images and platform; you approve versionsVaries by service; images are usually per user
Access from home or other cities Usually campus only; remote access can be addedSame desktop from campus, home or another centre, to be tested from your citiesAnywhere with internet, per account, subject to connection quality
Licences Device or named-user licences on each PCYour named-user education licences, checked per application and hosting arrangementUsually the student’s or the provider’s licences, per account
Data location On each PC and your file serverOn servers we operate; storage, backups and retention documented before the pilotWherever the provider runs that machine
Suits Classes that need local workstations or lack a dependable connectionTimetabled batches across centres, GPU-heavy coursesOccasional heavy use by a few people

Per-hour cloud workstations are a fair choice for a handful of occasional users.

The pilot design

One lab design, tested with you.

The pilot tests shared GPU lab seats, booked by batch on your timetable, run by ZenoCloud with its software partner, against agreed criteria before anything is called a service.

Who does what.

JobYouUs
Servers, GPUs, network, monitoring Us
Lab platform and booking Us with our software partner
Course software setup Approve versions; hold the licencesBuild and update
Student accounts and sign-in OwnConnect
Project storage and backups Decide retentionRun
Help for students First lineSecond line, for the platform
Help for your IT team Infrastructure support, 24/7; desktop support scope agreed for the pilot.
Pen tablets and displays SupplyTo be tested in the pilot.
Pilot process

Start with a pilot.

  1. Discuss your apps, class sizes, project files and connection locations.
  2. Agree what must pass, then test hosted desktops from your network with your exercises.
  3. Receive a report: measurements, what passed, and a sizing recommendation with tested limits.

Pilot capacity, duration, fee and credit are agreed in writing before it starts.

Pricing inputs

What moves the price.

  • Students working at once set compute; students enrolled set licences and storage.
  • Seat level per course: Level 1, 2 or 3.
  • Project storage and how long you keep it.
  • Licences you already hold: Windows, Adobe, Autodesk.
  • NVIDIA virtual-workstation licences, with education pricing where you qualify.
  • Support scope: platform only, or student help too.

GPU card list prices, per card per month, before taxes. Checked 14 Oct 2026.

  • NVIDIA L4 24GBFrom ₹32,000
  • NVIDIA L40S 48GBFrom ₹55,000
  • NVIDIA RTX PRO 6000 96GBFrom ₹1,10,000

The quote separates GPU capacity, software licences, storage, platform and support. Seats per card come from the pilot.

Reserved monthly capacity after the pilot. The quote shows every input and the pilot result it came from.

Every card and its price is on our GPU cloud page. Virtual labs are quoted.

Questions

Virtual lab questions.

How much does a virtual lab cost?

It is quoted after a pilot, in rupees. GPU cards list from ₹32,000 (L4 24GB), ₹55,000 (L40S 48GB), ₹1,10,000 (RTX PRO 6000 96GB) per card per month before taxes. The total adds Windows and NVIDIA licences, storage, platform and support, and depends on students working at once.

Can Maya, Premiere Pro, Unreal or AutoCAD run in a virtual lab?

Licence permission, vendor support and performance are separate checks. Adobe permits Creative Cloud on virtual desktops with named-user licences, not shared-device licences. Autodesk education access needs an eligibility check. Unreal’s education exception covers seat terms. AutoCAD and SolidWorks are to be tested in the pilot.

Do students need a powerful laptop?

Usually not. The applications run on the GPU server; the student’s device decodes the screen and sends keyboard, mouse and pen input. A modest PC, laptop or thin client with a stable connection is the starting point. The pilot checks your actual lab PCs and home connections.

How many students can share one GPU?

The pilot measures it for your exercises. By GPU memory alone, at most 12 students fit per RTX PRO 6000 (96 GB), 6 per L40S (48 GB) and 3 per L4 (24 GB), at an 8 GB profile. A ceiling, not a promise: the workload sets usable density.

Is VDI the same as a virtual lab?

VDI is the technology: desktops running as virtual machines on servers, reached remotely. A virtual computer lab is VDI arranged for teaching, usually with course images, batch booking and per-student sign-in. Businesses use the same technology for hosted virtual desktops (see our VDI page).

Can students use it from home or another city?

That is the design: students sign in through a secure gateway from their own connection and reach the same desktop. Programs run on the server; download and copy rules are set with you. The pilot tests the experience from your students’ cities.

Who supplies Windows and application licences?

Application licences (Adobe, Autodesk, others) stay yours, named per student. Windows runs on eligible institution-held licences, checked for the exact plan and hosting arrangement before the pilot. We supply the GPU servers, the lab platform and the NVIDIA virtual-workstation licences, with education pricing where you qualify.

Can we own the servers instead?

OwnGPU helps institutions buy and host their own GPU servers.

Request a pilot

Talk about your lab.

Tell us the apps, the students at once and where they connect from. We reply within one business day to arrange the discussion.

Prefer to talk? Call India +91 99991 08033 or US +1 714 242 5683

Add details (optional)

We reply within one business day.

Test it on your timetable.

One discussion, then a pilot from your network with your exercises.

Quote request

What should we quote?

Describe the configuration or problem, location and timing.