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Data
Centers.

Place your GPUs in a ready data center. From a single node to full clusters.

We source high-density space, install DGX and HGX systems, plan data center readiness and support your hardware on site with Smart Hands.

PowerGPU RacksCooling
Conceptual view · Adapted to your platform and facility
High density
200 kW – 1 GW
Starting from
1 node
GPU platforms
H200 · B300 · GB300 · Vera Rubin
Smart Hands
Bangkok · Chonburi · Rayong

High-Density GPU Colocation

Start with one node. Scale up to a gigawatt.

We source space, power and cooling for high-density NVIDIA GPU systems. Place a single GPU server, or reserve high-density capacity from 200 kW up to 1 GW.

1 node1 rackCluster

Power per node

Match space and cooling to the power each platform draws.

On smaller screens, scroll the table sideways to see every column.

Reference power by NVIDIA GPU platform
SystemGPUsFootprintkW per nodekW per rackCoolingSources
DGX H2008 × H2008U per node10.2 kW≈ 41 kW · 4 nodesAirDGX H100/H200 User GuideNVIDIA H100/H200 RA · rack density
DGX B3008 × B30010U per node14.5 kW≈ 58 kW · 4 nodesAirDGX B300 User GuideNVIDIA B300 RA · rack density
GB300 NVL7272 × Blackwell Ultra · 36 Grace1 rack · 18 compute trays≈ 7.9 kWPer compute tray · averageUp to 142 kWFully liquidNVL72 AI Factory ERAGB300 NVL72
Vera Rubin NVL72Preliminary72 × Rubin · 36 Vera1 rack · 18 compute trays≈ 10.0–12.2 kWPer compute tray · average≈ 180–220 kWEstimateLiquid · 45 °C waterDGX Vera Rubin NVL72 (preliminary)SemiAnalysis · kW estimate

Starting reference values from manufacturer documentation; confirm them with your OEM and data center. NVL72 per-tray values divide total rack power, including NVLink switches. NVIDIA has not published Vera Rubin NVL72 rack power; the 180–220 kW range is an industry estimate. OEM HGX servers vary by model.

Cluster size by power capacity

See how many nodes and racks each power envelope can hold.

On smaller screens, scroll the table sideways to see every column.

Approximate maximum per compute IT power
PowerDGX H200DGX B300GB300 NVL72Vera Rubin NVL72
200 kW5 racks19 nodes · 152 GPUs4 racks13 nodes · 104 GPUs1 rack18 nodes · 72 GPUsBelow one rack
1 MW25 racks98 nodes · 784 GPUs17 racks68 nodes · 544 GPUs7 racks126 nodes · 504 GPUs4 racks72 nodes · 288 GPUs
10 MW245 racks980 nodes · 7,840 GPUs173 racks689 nodes · 5,512 GPUs70 racks1,260 nodes · 5,040 GPUs45 racks810 nodes · 3,240 GPUs
100 MW2,451 racks9,803 nodes · ≈ 78,400 GPUs1,724 racks6,896 nodes · ≈ 55,200 GPUs704 racks≈ 12,700 nodes · ≈ 50,700 GPUs454 racks8,172 nodes · ≈ 32,700 GPUs
1 GW≈ 24,500 racks≈ 98,000 nodes · ≈ 784,000 GPUs≈ 17,200 racks≈ 69,000 nodes · ≈ 552,000 GPUs7,042 racks≈ 127,000 nodes · ≈ 507,000 GPUs4,545 racks≈ 81,800 nodes · ≈ 327,000 GPUs

Counts compute IT load only, using the power figures above. Network, storage, management and facility overhead such as cooling and UPS losses are excluded. H200 and B300 assume four nodes per rack. NVL72 counts each four-GPU compute tray as a node, with Vera Rubin sized at 220 kW per rack.

Data center tiers

Choose the standard that fits your workload and budget. We compare providers before we quote.

Premium

Higher design and operating standards, priced above the other tiers.

Best forCritical systems with strict compliance requirements

Standard

A balance of facility standards and cost.

Best forMainstream production workloads

Essential

A lower entry cost with room to grow in phases.

Best forBudget-controlled workloads that start small

Data center providers are named in your quotation.

Available power capacity

Check high-density power ready for installation. We refresh these figures regularly and confirm them in every quotation.

On smaller screens, scroll the table sideways to see every column.

High-density capacity
TierLocationAvailableMax kW per rackCooling
PremiumPendingPendingPendingPending
StandardPendingPendingPendingPending
EssentialPendingPendingPendingPending

Last updated: Pending

How pricing works

CPU colocation has standard monthly pricing. GPU high density is quoted per project.

CPU Colocation

Flat monthly pricing for CPU servers, like conventional colocation.

Monthly price (THB)
PackagePremiumStandardEssential
1UPendingPendingPending
1/8 RackPendingPendingPending
1/4 RackPendingPendingPending
Full RackPendingPendingPending

GPU High Density

Priced around power and each GPU architecture.

Monthly Power
Pay for power monthly. Rates depend on the data center tier and the power you use.
One-time Customization
Adapt the space to your GPU platform. Power, cooling and rack changes are a one-time charge.
Contract Term
High-density contracts start at three years. Term and renewal conditions are set in the quotation.
Other Charges
Other charges follow the agreed scope. Each is itemized in the quotation.

Rack & Stack · Commissioning

GPU clusters racked, cabled and ready to run.

We install DGX and HGX systems, cable within and between racks, configure rPDUs and verify every connection before handover.

DGX / HGXOOB · In-band · GPU FabricSwitch Rack

DGX / HGX Installation

Mount GPU servers to the planned rack elevation. Weight, position and airflow follow the manufacturer’s requirements.

Rack Elevation · Rails · Airflow

rPDU & Power Cabling

Feed every system from both power sources. Configure rPDUs and route A/B power cords to the redundancy plan.

rPDU · A/B Feed · Phase Balance

In-rack Cabling

Connect GPU servers with MPO and LC fiber and RJ45 Cat6A. Every cable is dressed, labeled and recorded.

MPO · LC · Cat6A · Labeling

Inter-rack Cabling

Connect every rack to the OOB, in-band and GPU fabric networks. Cables follow the cluster cabling matrix.

OOB · In-band · GPU Fabric

Commissioning

Hand your platform team a verified cluster. Power, BMC access and every link are checked against the cabling matrix.

Power-on · BMC · Link Validation

CPU Server Installation

Install CPU servers in your medium and small data centers. The same cabling and documentation standards apply.

Rack & Stack · Cabling · Documentation

Our team has installed DGX and HGX systems alongside NVIDIA installation teams.Team experience

Data Center Readiness

Ready the facility before the GPUs arrive.

We advise data center operators and organizations planning NVIDIA GPU deployments, working with your team from power planning to installation day.

Power & CoolingRack LayoutInstallation Plan

Data center operators

Prepare your halls for high-density GPUs. Assess power, cooling and rack layout against the platforms your customers bring.

Organizations planning GPUs

Choose a facility and plan installation around the GPUs you buy. Check site readiness before hardware is ordered.

Power & Cooling Assessment

Know the facility can host your chosen GPUs. We assess power per rack and air or liquid cooling options.

kW per Rack · Air · Liquid

Rack Layout & Floor Planning

Lay out racks for weight, cable paths and growth. We check floor space, floor loading and rack access.

Floor Loading · Aisles · Growth

Network & Cabling Design

Define every network path before a cable is pulled. We design cabling for GPU fabric, in-band, OOB and storage.

Cabling Matrix · Fabric · Storage

Installation Planning

Bring equipment on site on one shared plan. We sequence receiving, installation and acceptance with the data center and vendors.

Receiving · Sequencing · Acceptance

Smart Hands

On-site engineers who know GPUs, working to your SLA.

We operate and support GPU servers, CPU servers and networks in the data center for your team, across Bangkok, Chonburi, Rayong and the EEC.

BangkokChonburi · Rayong · EECNeighboring countries

GPU & CPU Server Support

Resolve hardware faults within your SLA. We diagnose issues, replace parts and coordinate vendor RMAs.

Diagnostics · Parts Replacement · RMA

Network Support

Bring failed links back into service. We check cables, transceivers and ports across GPU fabric, in-band and OOB.

Transceivers · Cabling · Ports

AI Factory Operations

Keep GPU clusters running with a team that has operated AI factories, from the rack to the fabric.

GPU Cluster · Fabric · Runbooks

Site Access Preparation

Start work as soon as we arrive. Access requests, spares and method statements are prepared to each data center’s process.

Access Request · Spares · MOP

Coverage
Bangkok · Chonburi · Rayong · EEC
Neighboring countries on request; travel time applies.
Hardware we support
Dell · HPE · Supermicro · Lenovo
And other vendors
Team experience
Our team has worked in several large data centers across Thailand and knows each site’s access process.

From the data center to your AI platform

Once your GPUs are racked, continue with cluster, network and platform design for model serving.

Tell us your GPUs and the power you need.

Share your GPU platform, node count and preferred location for a colocation, installation or Smart Hands proposal.

Request a quote