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NVIDIA GPU Cluster
Design & Deployment

NVIDIA GPU Cluster Design & Deployment

Enterprise AI Clusters — Built on NVIDIA Reference Architecture

Private Cloud and GPUs Deployment

Enterprise-Grade AI Infrastructure Built on NVIDIA Reference Architecture

Canopy Wave designs and delivers complete GPU clusters based on NVIDIA’s official reference architecture. Our team leads the design, which is reviewed and confirmed by NVIDIA, ensuring full alignment with NVIDIA Cloud AI Infrastructure standards from day one.

Enterprise-grade AI infrastructure
Why Choose Canopy Wave

Built for AI. Delivered Fast.

Expert Team

Our engineers specialize in NVIDIA GPUs, RoCE/InfiniBand networking, system architecture, and AI infrastructure. We lead end-to-end design — covering network, servers, and storage — and build clusters strictly to NVIDIA architecture standards.

Canopy Wave infrastructure experts delivering AI clusters
Rapid GPU cluster deployment dashboard

Fast — Accelerated Across the Full Lifecycle

Day-0/1 Rapid Bring-Up

Data center initialization in 1–3 days. Clusters ship with GPU drivers pre-installed and networking configured — ready out of the box.

Day-2 Rapid Provisioning

Powered by NICo and BlueField-3 DPUs. Node allocation triggers automated iPXE deployment of certified Golden OS images (pre-baked NVIDIA drivers & DOCA-OFED) in minutes.

Full-Stack Observability & Automated Remediation

Multi-tier monitoring combines continuous BMC/Redfish out-of-band telemetry with in-band read-only DCGM performance streaming. Automated health triggers instantly quarantine degraded nodes and dynamic fabric links, executing secure GPU state and storage sanitization upon workload release.

Full-stack observability and automated remediation
Rapid GPU cluster deployment dashboard

High-Throughput Dual-Tier Storage

Clusters integrate Weka ultra-low latency POSIX filesystem over RoCE (GPUDirect Storage ready) for model training and checkpointing, coupled with Ceph for scalable object and block datasets. Storage access is cryptographically segregated per tenant.

Deployment Process

01

Design

Our engineering team designs the complete cluster architecture based on NVIDIA reference architectures and submits the design to NVIDIA for review and validation.

02

Deploy

We build the cluster and deploy the underlying infrastructure software in accordance with NVIDIA Cloud AI Infrastructure standards.

03

Validate

Before delivery, we conduct both small-scale POC testing and full-system validation to verify functionality and performance.

04

Deliver

The cluster is delivered in a ready-to-use state and enters the production, monitoring, and operations phase.

Enterprise-Grade Security & Reliability

Built for enterprise AI workloads with security, isolation, availability, and operational support at every layer.

SOC 2 Type II Certified

SOC 2 Type II Certified

SOC 2 Type II Certified

Independently audited controls covering security, availability, and confidentiality.

Zero-Trust Isolation

Zero-Trust Isolation

Zero-Trust Isolation

Hardware-enforced network and tenant isolation at the DPU ensures zero tenant cross-talk.

99.9% Uptime

99.9% Uptime

99.9% Uptime

Full-stack observability and rapid incident response help maintain reliable, continuous operations.

24/7 Expert Support

24/7 Expert Support

24/7 Expert Support

Around-the-clock technical support and an experienced operations team provide rapid response, so your team can stay focused on your business.

Global Data Center Footprint

We operate high-performance data centers across key regions worldwide. Explore our coverage map to choose the location that best fits your latency, proximity, and expansion needs.

Canopy Wave North America data center networkCanopy Wave Europe data center network

Questions and Answers

Are your GPU clusters built to NVIDIA standards?
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How are clusters delivered, and how quickly can we go live?
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Do the clusters support multi-tenancy?
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How do you ensure data security and cluster stability?
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Ready to Build Your NVIDIA-Aligned GPU Cluster?

From architecture design to production-ready delivery, we handle the infrastructure complexity—so your team can focus on building and scaling AI.