Enterprise AI Infrastructure
Build the infrastructure your AI ambitions require.
We size, source, and stand up enterprise GPU infrastructure — from a single server to a liquid-cooled, rack-scale cluster — for teams building private AI, inference at scale, and serious research.
One team carries the project from workload assessment through architecture, delivery, and the years of operation after — not a hardware order dropped at your door.
Availability and delivery depend on configuration, country, export compliance, OEM allocation, and project requirements.
Where we start
Start with the workload, not the GPU name.
The right system depends on what it needs to do — not on the model name printed on the box.
- Training versus inference
- Model size
- Context and concurrency
- Data volume
- Latency objectives
- Precision requirements
- Deployment location
- Privacy and sovereignty needs
- Scale-up versus scale-out
- Power and cooling capacity
- Operating model
- Budget and expansion path
Platform families
NVIDIA and AMD accelerated computing platforms
Platform options selected through workload assessment — presented as families, not a catalogue to browse.
Blackwell Ultra
Rack-scale AI system
GB300 NVL72
Rack-scale NVIDIA Blackwell Ultra platform for large-scale training and sovereign AI, available in configurations from Supermicro, Pegatron, and Gigabyte.
- Workloads
- Large-scale AI training · Advanced inference · Sovereign AI · Research clusters
- Form factors
- Rack-scale (NVL72)
- Cooling
- Direct liquid cooling (required for some rack-scale configurations)
- Manufacturers
- Supermicro · Pegatron · Gigabyte
- Listed specifications
- Gigabyte configuration lists 72 GB300 GPUs plus 36 Grace CPUs · Listed capacity: 288 GB HBM3e per GPU
Eight-GPU server
B300 NVL8
Eight-GPU NVIDIA Blackwell Ultra server for high-density training and inference, with both air-cooled and liquid-cooled configurations in the supplied inventory.
- Workloads
- Large-scale AI training · Advanced inference · High-density enterprise compute
- Form factors
- 8-GPU server (NVL8)
- Cooling
- Air-cooled options present · Direct liquid cooling options present
- Manufacturers
- Supermicro · Dell
Blackwell
Rack-scale AI system
GB200
NVIDIA Blackwell rack-scale platform for training and inference at scale, available from Dell in the supplied inventory.
- Workloads
- Model training · Advanced inference · Research clusters
- Form factors
- Rack-scale
- Cooling
- Configuration-dependent — confirm with an infrastructure specialist
- Manufacturers
- Dell
Eight-GPU HGX server
B200 HGX
NVIDIA Blackwell HGX server for enterprise training and inference, available from Lenovo, Supermicro, and Gigabyte with both air- and liquid-cooled options.
- Workloads
- Model training · Advanced inference · Enterprise AI
- Form factors
- HGX (8-GPU)
- Cooling
- Lenovo ThinkSystem SR780a V3 with Neptune direct liquid cooling · Air-cooled options present
- Manufacturers
- Lenovo · Supermicro · Gigabyte
- Listed specifications
- Listed capacity: 180 GB per GPU
Hopper
Eight-GPU server
H200
NVIDIA Hopper H200 server for enterprise-scale inference and training, including Dell's PowerEdge XE9680 with HGX H200.
- Workloads
- Enterprise AI · Advanced inference · Model training
- Form factors
- 8-GPU server · HGX
- Cooling
- Air-cooled and direct-liquid-cooled configurations
- Manufacturers
- Supermicro · Dell · Gigabyte
- Listed specifications
- Dell PowerEdge XE9680 with HGX H200 · Listed capacity: 141 GB per GPU
GPU server
H100
NVIDIA Hopper H100 in SXM5, PCIe, HGX, and NVL form factors, from Supermicro, Dell, HPE, and ASUS, with air- and liquid-cooled options.
- Workloads
- Enterprise AI · Inference · Model training
- Form factors
- SXM5 · PCIe · HGX · NVL
- Cooling
- Air-cooled and direct-liquid-cooled configurations
- Manufacturers
- Supermicro · Dell · HPE · ASUS
Ada Lovelace
Inference and visual-computing system
L40S
NVIDIA Ada Lovelace L40S platform for generative AI inference, rendering, simulation, and digital twins — presented as a platform family selected through workload assessment, not a fit for every workload.
- Workloads
- Generative AI inference · Enterprise AI · Rendering · Simulation · Digital twins · Visual computing
- Form factors
- GPU server
- Cooling
- Configuration-dependent — confirm with an infrastructure specialist
- Manufacturers
- Supermicro
- Listed specifications
- Supermicro configuration lists ten L40S GPUs
AMD Instinct
Alternative accelerator platform
MI300X
AMD Instinct MI300X eight-GPU server — an alternative accelerator platform, not positioned as exclusive to any single vendor.
- Workloads
- Model training · Inference · High-performance computing
- Form factors
- 8-GPU server
- Cooling
- Configuration-dependent — confirm with an infrastructure specialist
- Manufacturers
- Supermicro
Beyond the GPU
The complete solution stack
Compute is one layer. We design and integrate the rest — networking, storage, platform software, cooling, and power.
Compute
GPU servers and rack-scale platforms sized to the workload.
- GPU servers
- Rack-scale platforms
- Scale-up and scale-out architectures
- CPU and accelerator selection
Networking
Fabric design matched to how the cluster actually communicates.
- High-speed Ethernet
- InfiniBand where appropriate
- East-west fabric design
- Cluster topology
- Management networks
Storage
From training data to checkpoints, sized and tiered correctly.
- Training-data storage
- Checkpoint storage
- High-throughput shared storage
- Object storage
- Backup and lifecycle planning
Platform software
Design and integration capabilities — not automatically included licences.
- Kubernetes
- Slurm
- Containers
- Scheduling
- Observability
- Private model serving
- Access control
Cooling and power
COLOPiO's energy-system experience applied to the machine room, not just the rack.
- Air-cooled systems
- Direct liquid cooling
- Rack power assessment
- UPS and battery backup
- Generator integration
- Energy monitoring
- Capacity planning
Services
One engineering partner from discovery through operation.
- Discovery and workload assessment
- Architecture and bill of materials
- Procurement and logistics
- Installation and commissioning
- Platform integration
- Acceptance testing
- Training and handover
- Monitoring and support
- Capacity expansion
How a deployment happens
Discovery to operation
The same disciplined path for every deployment, from first workload conversation to expansion planning.
Who this is for
Built for organizations deploying serious AI
Manufacturer ecosystem
Platform options are available from leading enterprise system manufacturers, including Supermicro, Dell, Gigabyte, Lenovo, HPE, ASUS, and Pegatron, subject to configuration and availability.
Tell us what you need the system to do.
Share the workload, users, model profile, deployment location, security requirements, timeline, and expected growth. COLOPiO will translate those requirements into an infrastructure architecture and commercial proposal.