info@vorlixtech.com
GPU data centre aisle

Bridging the gap between AI algorithms and physical power

Where Complex AI Meets High-PerformanceCompute

Services

Scalable Cloud & Compute Solutions

On-demand and dedicated GPU instances for scalable training and inference jobs without high upfront capital expenditure.

Illustration of a populated GPU rack

About us

Compute infrastructure, delivered as a working system

Vorlixtech sits between the model and the metal. We source and rack the accelerators, tune the stack that runs on them, and stay on the hook for uptime — so your team spends its time on the workload instead of the hardware.

Latest-generation NVIDIA-class accelerators, racked and ready
Dedicated or on-demand capacity with no long procurement cycle
Interconnect, storage, and cooling specified for the workload
Monitoring, patching, and hardware replacement handled by us

0+

GPUs under management

0.0%

Fleet availability

0h

Typical provisioning time

0/7

Engineering on call

GPU Leasing

Pick the accelerator, we handle everything under it

Single stations for a research team, or a full rack for a training run. Every configuration ships with NVMe scratch, private networking, and root access.

RTX 5090

24-core CPU · 128 GB RAM · 4 TB NVMe

$1,180 / mo

Memory
32 GB GDDR7
Best for
Fine-tuning, rendering, single-node research

RTX 4090

16-core CPU · 96 GB RAM · 2 TB NVMe

$860 / mo

Memory
24 GB GDDR6X
Best for
Inference endpoints, prototyping, CI for models

H100 SXM

Dual 32-core EPYC · 512 GB RAM · NVLink

$3,940 / mo

Memory
80 GB HBM3
Best for
Multi-GPU training, large-batch inference

H200 SXM

Dual 32-core EPYC · 1 TB RAM · NVLink

$5,620 / mo

Memory
141 GB HBM3e
Best for
Frontier-scale training, long-context serving

Indicative monthly rates for dedicated stations on a 3-month term. Hourly on-demand and annual reserved pricing available on request.

Request a quote

What we do

From a single station to a managed cluster

Three practices, one team. Most clients start with leased capacity and grow into hardware supply and managed operations.

GPU station leasing

Dedicated RTX 5090, RTX 4090, H100, and H200 stations with root access, private networking, and NVMe scratch storage.

Cluster build-out

Multi-node training clusters with NVLink or InfiniBand fabric, shared storage, and job scheduling configured for your stack.

Hardware supply

Workstations, servers, accelerators, and spares sourced, burned in, and shipped with warranty and replacement cover.

Hybrid cloud design

Burst to public cloud for peaks while your steady-state workload runs on owned or leased capacity at a fraction of the cost.

Security & compliance

Isolated tenancy, encrypted volumes, scoped credentials, and audit logging aligned to SOC 2 controls.

Managed operations

Monitoring, driver and firmware patching, capacity planning, and hardware replacement handled without your team paging.

Why Vorlixtech

Engineers on the call, not account managers

No capital lock-up

Lease the capacity you need this quarter instead of financing a fleet you will outgrow.

Provisioned in 48 hours

Stations from our standing inventory are racked, imaged, and handed over within two business days.

Transparent pricing

One rate per configuration. No egress surprises, no per-hour rounding games, no support tiers.

Yours to control

Root access, your images, your orchestration. We keep the floor running and stay out of your stack.

How it works

01

Scoping call

We size the workload — model, batch, memory ceiling, throughput target — and tell you what hardware it actually needs.

02

Configuration

You get a written spec and a fixed price: accelerators, host, storage, fabric, and the software image on top.

03

Provisioning

Stations are racked, burned in, and benchmarked before handover, with credentials and monitoring access included.

04

Run & scale

We watch the fleet and swap failed parts. When the workload grows, capacity is added without a new procurement round.

Clients

What teams say after the first training run

We had H100 capacity running training jobs four days after the first call. Our previous vendor quoted eleven weeks for the same configuration.
DWDana WhitfieldVP Engineering, Helio Labs
Vorlixtech specified the fabric and storage properly, which is why our multi-node run scales instead of stalling. That advice was worth more than the hardware discount.
MIMarcus IyerHead of ML Platform, Meridian
One rate per station, no egress line items, and a human answers when a card throws errors at 2am. It is a boring relationship, which is exactly what we wanted.
PRPriya RamanCTO, Quantly

FAQ

Questions we get on every scoping call

Something not covered here? Ask us directly — an engineer answers, usually the same day.

Configurations held in standing inventory — RTX 5090, RTX 4090, and H100 stations — are typically racked, imaged, and handed over within 48 hours. H200 and large multi-node clusters depend on current allocation; we give you a firm date on the scoping call.

Get started

Tell us the workload. We will tell you the hardware.

Bring the model, batch size, and throughput target. On a 30-minute call you will get a configuration, a price, and an availability date — no pitch deck.

21132 59 AVE NW, EDMONTON, AB T6M 0H2, Canada

Request a configuration

We reply within one business day. Your details stay with us.