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VT Go · GPU Cloud

GPU in the cloud, without buying the hardware.

On-demand GPU compute capacity for inference, training and video or compute-intensive workloads.

✓Electronic invoicing with the DGI included
✓Local support with an assigned account owner
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VTGO Plans

Choose your VTGO GPU Cloud

NVIDIA infrastructure for inference, model training and intensive graphics workloads.

VTGO GPU L40S Dedicated

$ 949.00 /mo

Multi-workload acceleration for large language model (LLM) inference and training, plus graphics and video rendering, on the NVIDIA Ada Lovelace architecture.

  • ✓ 1x NVIDIA L40S
  • ✓ 48 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.75 TB storage
  • ✓ 15 TB bandwidth
  • ✓ Dedicated GPU server — exclusive hardware, no shared virtualization
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up

VTGO GPU L40S Cloud

$ 1,099.00 /mo

Multi-workload acceleration for large language model (LLM) inference and training, plus graphics and video rendering, on the NVIDIA Ada Lovelace architecture.

  • ✓ 1x NVIDIA L40S
  • ✓ 48 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 900 GB storage
  • ✓ 15 TB bandwidth
  • ✓ Cloud provisioning — more flexibility and fast deployment
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up

VTGO GPU RTX5000 Dedicated

$ 1,249.00 /mo

Take your AI and visual computing projects to the next level: powerful Tensor Cores for machine learning, rendering and simulation.

  • ✓ 1x RTX PRO 5000
  • ✓ 48 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.75 TB storage
  • ✓ 15 TB bandwidth
  • ✓ Dedicated GPU server — exclusive hardware, no shared virtualization
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up

VTGO GPU RTX5000 Cloud

$ 1,399.00 /mo

Take your AI and visual computing projects to the next level: powerful Tensor Cores for machine learning, rendering and simulation.

  • ✓ 1x RTX PRO 5000
  • ✓ 48 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 900 GB storage
  • ✓ 15 TB bandwidth
  • ✓ Cloud provisioning — more flexibility and fast deployment
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up

VTGO GPU RTX6000 Dedicated

$2,099.00 /month

Advanced Tensor Cores, high compute performance and massive memory for machine learning, generative AI, rendering, simulations and large-scale data processing.

  • ✓ 1x RTX PRO 6000
  • ✓ 96 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.92 TB NVMe
  • ✓ 15 TB bandwidth
  • ✓ Dedicated GPU server — exclusive hardware, no shared virtualization
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Contact us

VTGO GPU RTX6000 Cloud

$2,249.00 /month

Advanced Tensor Cores, high compute performance and massive memory for machine learning, generative AI, rendering, simulations and large-scale data processing.

  • ✓ 1x RTX PRO 6000
  • ✓ 96 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.92 TB NVMe
  • ✓ 15 TB bandwidth
  • ✓ Cloud provisioning — more flexibility and fast deployment
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Contact us

VTGO GPU H200 Dedicated

$ 2,499.00 /mo

Fourth-generation Tensor Cores that speed up training of advanced language models by up to 4 times compared with the previous generation.

  • ✓ 1x NVIDIA H200
  • ✓ 141 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.9 TB storage
  • ✓ 15 TB bandwidth
  • ✓ Dedicated GPU server — exclusive hardware, no shared virtualization
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up

VTGO GPU H200 Cloud

$ 2,999.00 /mo

Fourth-generation Tensor Cores that speed up training of advanced language models by up to 4 times compared with the previous generation.

  • ✓ 1x NVIDIA H200
  • ✓ 141 GB VRAM
  • ✓ 32 vCPU
  • ✓ 234 GB RAM
  • ✓ 1.9 TB storage
  • ✓ 15 TB bandwidth
  • ✓ Cloud provisioning — more flexibility and fast deployment
  • ✓ DDoS protection included
  • ✓ 24/7 technical support
Sign up
What we see often

Buying a GPU only makes sense if you're going to use it all the time.

When cloud GPU makes sense.

Project-based use

Intensive workloads for weeks and then nothing. Buying hardware would be idle capital.

Scale fast

Need for more capacity for a specific stage without waiting on purchases or imports.

High usage-based cost

External per-token services that get expensive as volume grows.

What gets up and running

What you get.

It's implemented in stages, in the order that least disrupts your operation.

GPU

On demand

Capacity available when you need it, with no upfront hardware investment.

Environments

Ready to work

Libraries and dependencies configured for your case.

Data

Under your control

Processing happens on infrastructure managed together with you.

Scaling

Up and down

Scale up during the intensive stage and scale down when the load drops.

Monitoring

Usage and performance

Consumption, temperature and availability monitored.

Integration

With your systems

The models connect to your operation; they aren't left isolated.

How we do it

From where you are to where you want to be.

Step 1

Assessment

We look at how you operate today and where time or money is being lost. A fifteen-minute call to define the next step.

Step 2

Data load and setup

We assess workloads, models and usage periods to size the capacity.

Step 3

Assisted go-live

We train the team that will use it and support you through the first month-end close.

Step 4

Ongoing operation

Support with an assigned account owner and contractual response times.

Frequently asked questions

What people ask before signing up.

Who manages the server?

We do, with an assigned account owner, monitoring, backups and incident response.

Can you migrate what I already have?

Yes, with an agreed cutover window to minimize downtime.

Are the backups tested?

Yes, with periodic, documented restore tests.

Investment

How we quote.

We don't publish a price list because it would be made up: two companies in the same industry can need very different things. What we do guarantee is how you get to the number.

Fixed price

Quote after the assessment

After the call, if the case calls for it, a one-hour consultation sets the scope and a fixed price. If the scope changes, it's quoted separately and you approve it first.

What defines it

Processes, data and users

Type of workloads, project duration and processing volume. How many people will use it, how much information needs to be migrated and how customized it needs to be.

Monthly

Support by plan

Ongoing operation runs on a monthly plan, with an assigned account owner and contractual response times. It's contracted separately from the implementation.

15-minute call

Let's assess your GPU workload.

A fifteen-minute call and you walk away with a clear next step — even if the answer is that you don't need us yet.

✓No commitment, no contract involved
✓We reply the same business day

Book your assessment

Leave us your details and we'll set it up for the next business day.

Or message us on WhatsApp: +507 6930-5559 · hola@valtriom.com