AI Tech Stack & Infrastructure Assessment

Legacy stacks aren't built for AI. Our Infrastructure Assessment audits your GPUs, databases, and pipelines to eliminate bottlenecks. We provide a vendor-agnostic roadmap to transition your enterprise to a scalable, AI-first architecture.

AI Experts with a extensive knowledge and experience in AI.
Available in different languages, including Dutch, English, and German.
AI assessment

"The collaboration with DataNorth went very well. The communication was good, and they’re all intelligent and sociable professionals. It is evident that they have a lot of expertise."

Sophie Vermolen

Brand and Product Manager @Westland @ Signature Foods

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Audit your stack for the AI-first era.

Most enterprise infrastructures aren’t ready for the compute demands of Generative AI. We provide the technical blueprint to scale safely and efficiently.

GPU Strategy

Evaluation of on-prem vs cloud GPU clusters for training and inference efficiency.

Vector pipelines

Architecture review for real-time RAG (Retrieval Augmented Generation) data flows.

Governance

Automated compliance checks for AI ethics, security, and data privacy regulations.

AI Tech Stack & Infrastructure roadmap

ai tech stack & infrastructure assessment

Step 1: Discovery & Audit

We map your existing compute resources, cloud egress patterns, and data storage configurations. This provides a baseline for your current total cost of ownership (TCO).

Step 2: Stress Testing & Latency Audit

Using simulated workloads, we identify "choke points" in your network and compute clusters that will fail under production-level Generative AI traffic.

Step 3: Gap Synthesis

Our architects map your business goals (e.g., real-time RAG) against your current capability, revealing the specific technical deficits you need to address to succeed.

Step 4: Remediation Blueprint

The final deliverable: a vendor-neutral architectural guide, cost projections, and a phased implementation plan to modernize your stack.

Ready to audit your AI foundation?

Get in touch with us today.

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Experts in Artificial Intelligence

Meet Nick, he’s a Managing Consultant at DataNorth and one of our AI Experts that perform AI Tech Stack & Infrastructure Assessments. 

Our experts are highly educated in AI. Besides performing assessments, our Experts build and implement the most advanced AI solutions for our clients.

Why Choose DataNorth?

We are the AI partner that empowers organizations like yours to harness the capabilities of Artificial Intelligence.

9+ Years of AI Experience

DataNorth has over 9 years of experience in the field of AI. By developing SaaS to fully custom AI solutions.

Highly Experienced AI Experts

The AI Experts of DataNorth have extensive experience in AI. Besides doing assessments they develop custom AI solutions for our clients.

We give 100% Honest Advice

At DataNorth we’re non-biased, non-dependant and have no partnerships. This to make sure we give 100% honest advice.

Get your AI tech stack & infrastructure assessment today!

Ready to audit your AI foundation?

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Also available in the USA
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AI tech stack & infrastructure assessment

Regulatory AI specialists

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Frequently Asked Questions

  • How do you evaluate the scalability of our data layer for RAG architectures?

    We perform a deep dive into your vector database performance, embedding generation latency, and retrieval speeds. Our audit ensures your data indexing strategy can handle millions of vectors without significant degradation in query response times as your knowledge base grows.

  • Does the assessment include recommendations for specialized orchestration layers like Kubernetes or Slurm?

    Yes. We analyze your workload patterns to determine the most efficient orchestration layer. Whether you need the flexibility of Kubernetes (K8s) for microservices-based inference or the raw scheduling power of Slurm for large-scale training jobs, we provide a deployment blueprint tailored to your team’s DevOps maturity.

  • How do you identify bottlenecks between our storage layer and GPU compute nodes?

    One of the most common “silent killers” of AI performance is I/O blocking. We audit your storage throughput (e.g., NVMe vs. object storage) and network fabric (InfiniBand vs. RoCE) to ensure your GPUs are never idling while waiting for data to arrive, maximizing your hardware utilization.

  • Can you audit infrastructure specifically for fine-tuning versus simple API-based inference?

    Absolutely. Fine-tuning requires significantly more memory and specialized software stacks (like PEFT or DeepSpeed). We assess whether your current infrastructure can support these memory-intensive tasks or if a hybrid approach, using local hardware for development and cloud-bursting for training—is more cost-effective.

  • Do you have alternative Assessments services?