πŸ€– AI-Powered Cloud Solutions

AI Platform Engineering

Transforming Cloud Infrastructure with AI-Driven Innovation

DCLOUD9 is a specialized team of cloud architects and AI platform engineers delivering next-generation AI/HPC solutions on AWS, Azure & GCP for biotechnology, genomics, and enterprise-scale computational research.

30+ Years Combined Experience
3x Cost Reduction
10x Productivity Gain
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Multi-Cloud Experts

AWS β€’ Azure β€’ GCP Specialists

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AI/HPC Platforms

Scalable ML Infrastructure

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DevSecOps Leaders

Enterprise Security & Automation

A Team of Cloud Architecture Experts

We are a specialized group of cloud architects, DevSecOps engineers, and AI platform specialists with decades of combined experience. Our team helps enterprises build cutting-edge infrastructure that scales, innovates, and delivers measurable results.

Our Team's Core Expertise

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AI/ML Infrastructure

Designing next-generation AI/HPC platforms with 3x cost reduction on AWS

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High Performance Computing

Building AWS ParallelCluster, Slurm schedulers, and enterprise HPC solutions

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DevSecOps Automation

Implementing IaC with Terraform, CI/CD pipelines, and container orchestration

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AI-Augmented Engineering

Leveraging LLM tools for 10x productivity gains in infrastructure development

Proven Results Across Industries

3x Cost Reduction for AI/HPC Workloads
10x Engineering Productivity Through LLM Tools
400% Increase in Deployment Frequency
200+ Data Scientists Supported

Meet the DCLOUD9 Team

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AI/HPC Platform Team
AI/HPC Platform Engineers

30+ years leading DevSecOps transformations. Expert in AI/HPC platforms, AWS ParallelCluster, and enterprise cloud architecture.

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Cloud Architecture Team
Senior DevSecOps Engineers

Specialized team of certified cloud architects with expertise in AWS, Azure, and GCP. Focused on multi-cloud strategies, security compliance, and infrastructure automation.

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AI/ML Specialists
Machine Learning Engineers

Expert team in GPU optimization, MLOps pipelines, and large-scale model deployment. Experience supporting 200+ data scientists in biotech and genomics research.

Specialized Cloud & AI Solutions

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AI/ML Platform Engineering

  • Cloud-native AI/ML infrastructure design
  • HPC cluster configuration (AWS ParallelCluster, Slurm)
  • GPU-optimized compute (B200, H200, H100)
  • MLOps pipelines and model deployment
  • Cost optimization strategies (3x reduction)
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DevSecOps & Security

  • Infrastructure-as-Code (Terraform, Ansible, Packer)
  • CI/CD pipeline design (GitLab, ArgoCD, Helm)
  • Container orchestration and Kubernetes
  • AWS Organizations, Control Tower, Guardrails
  • Trusted Research Environments (TRE)
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Cloud Transformation

  • Multi-cloud and hybrid infrastructure
  • Azure to AWS migration strategies
  • Legacy system modernization
  • Auto-scaling and high-availability solutions
  • Performance optimization and monitoring
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Delivering Excellence for Industry Leaders

Biotechnology

🧬 AI/HPC Platform for Genomics Research

Client: Genentech (Roche Group)

Challenge: Scale AI/ML infrastructure to support 200+ data scientists and computational biologists working on advanced genomics research

Solution: Our team designed and deployed a cloud-native AI/ML platform on AWS with GPU optimization and scalable HPC clusters

3x Cost Reduction
200+ Scientists Supported
AWS ParallelCluster GPU Terraform
Healthcare

πŸ₯ Trusted Research Environment

Client: IAVI & Imperial College London

Challenge: Build secure AWS-native HPC solution for sensitive medical research data with strict compliance requirements

Solution: DCLOUD9 team architected an AWS-native TRE with automated eConsent website and secure data environments for global research

100% Compliance Achieved
Global Research Enabled
AWS Terraform Security Compliance
Telecommunications

πŸ“Š Enterprise Cloud Migration

Client: Hutchison Three (Vodafone)

Challenge: Migrate Alteryx cluster data analytics system to Azure and automate deployment with horizontal scaling capabilities

Solution: Our engineers executed lift-and-shift migration with Terraform automation, delivering scalable cluster builds

400% Faster Deployments
Weekly Release Cycle
Azure Terraform Alteryx Automation

Trusted by Industry Leaders

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Highly recommend for exceptional work as Lead DevSecOps Engineer at IAVI and Imperial College London leading the build of a Trusted Research Environment (TRE). They have a deep understanding of cloud technologies and containerisation, which has greatly enhanced our deployment workflows. Their expertise in CI/CD pipelines has streamlined our development processes, leading to faster and more reliable software releases.

Genomics England
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Very talented DevOps engineer; produce clean solutions always striving for best practices. Their Terraform code becomes the standard for other engineers to follow. They have a structured approach to any challenge and deliver on commitments. It's been a pleasure to work with them and I hope to have the opportunity again in future.

Three UK

AI/HPC Platform Engineering Blog

Expert insights on high-performance computing, AI infrastructure, and cloud optimization

AI Infrastructure January 2025

Unlocking 10x Performance with NVIDIA B200 GPUs on AWS ParallelCluster

The NVIDIA B200 GPU represents a quantum leap in AI/ML compute performance. Learn how our team integrates B200 instances with AWS ParallelCluster and Slurm scheduling to deliver unprecedented performance for large language models and genomics workloads. We explore architectural patterns for optimal GPU utilization, network topology design with EFA, and cost optimization strategies that achieved 3x cost reduction for our biotech clients.

NVIDIA B200 AWS ParallelCluster GPU Optimization
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HPC Architecture December 2024

Building Enterprise HPC Platforms: Slurm Workload Manager Best Practices

Slurm has become the de facto standard for HPC workload orchestration, but configuring it for cloud environments requires specialized expertise. This deep-dive covers our battle-tested approaches to Slurm configuration on AWS ParallelCluster, including multi-queue architectures, job accounting, fair-share scheduling, and integration with Weka parallel file systems for high-throughput data access supporting 200+ researchers.

Slurm HPC Platform AWS ParallelCluster
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Storage Solutions November 2024

Weka Data Platform: High-Performance Storage for AI/HPC Workloads

Traditional storage systems become bottlenecks for modern AI/HPC platforms. Discover how we leverage Weka's parallel file system to deliver multi-GB/s throughput for GPU-accelerated workloads on AWS. Learn about our reference architecture combining Weka with AWS ParallelCluster, achieving sub-millisecond latency and seamless scaling from terabytes to petabytesβ€”critical for genomics data pipelines and large-scale ML training.

Weka Storage Architecture Performance
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Cloud Architecture October 2024

AWS ParallelCluster 3.0: Building Modern HPC Platforms with Infrastructure-as-Code

AWS ParallelCluster 3.0 brings revolutionary improvements for cloud HPC deployments. We share our production-tested Terraform patterns for deploying multi-region HPC platforms with Slurm scheduler, NVIDIA B200 GPU nodes, and Weka storage integration. Topics include automated cluster lifecycle management, cost optimization with spot instances, and security best practices for Trusted Research Environments handling sensitive genomics data.

AWS ParallelCluster Terraform DevSecOps
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Ready to Transform Your Cloud Infrastructure?

Let's discuss how our AI-powered DevSecOps expertise can accelerate your business.