AI · Data Centers · DevSecOps

Intelligent infrastructure
for the AI era

8Purple builds and operates the stack beneath modern products — from GPU clusters and hybrid clouds to LLM pipelines and the software your customers touch.

Trusted to run production AI & compute
0
Platform uptime
0
Workloads in production
0
Engineering disciplines
0
Operated & monitored

The stack we design, build and run on

KubernetesNVIDIA GPUPostgreSQLTerraformPythonRustNetlifyGhostCloudflareLonghorncert-managerGitHub ActionsvLLMRedispgvectorKubernetesNVIDIA GPUPostgreSQLTerraformPythonRustNetlifyGhostCloudflareLonghorncert-managerGitHub ActionsvLLMRedispgvector
Services

Everything between the rack and the product

Six disciplines, one team — so the hand-offs that usually burn months simply don’t exist.

Applied AI & LLM Solutions

Retrieval pipelines, copilots and agentic automation built on your data — with evaluation harnesses, not vibes.

Data Center & GPU Infrastructure

High-density compute: power, liquid cooling, networking and capacity planning.

Software Development

Product engineering with trunk-based development, preview environments and CI that fails fast.

Blockchain Engineering

Settlement rails, tokenized assets and verifiable provenance — where a shared ledger earns its cost.

DevSecOps & Platform

Paved-road pipelines: secret scanning, dependency audits, least-privilege deploys, reproducible builds.

Cloud & Hybrid Operations

Own the baseline, rent the burst. Kubernetes-first workloads that run the same on metal and in the cloud.

How we work

From assessment to operations

A short, reversible path from idea to a system you can rely on.

01

Assess

We map your workloads, data and constraints, then pick the smallest architecture that does the job.

02

Build

Short iterations behind a CI/CD pipeline — every change tested, previewed and reversible.

03

Operate

We run what we ship: monitoring, SLOs, capacity and cost reviews — or hand over a paved road to your team.

Outcomes

What teams say after we ship

8purple took us from a clever prototype to a system our customers actually rely on. The evaluation harness alone saved us months.
E Engineering Lead
Fintech scale-up
They embedded with our team, brought the platform and the practices, and left us owning it. Exactly the hand-off we wanted.
C CTO
Healthtech
Our GPU bill dropped by a third without touching model quality. Utilisation, batching and the right hardware — no magic, just rigor.
H Head of Data
AI platform
Engagements

Start small, scale when it works

Three ways to work with us — escalate only when the previous step has earned it.

Assess

Fixed price / 1–2 weeks

A concrete architecture and roadmap you can execute with or without us.

  • Workload & data mapping
  • Architecture proposal
  • Cost & risk analysis
  • Actionable roadmap
Start an assessment
Most chosen

Build

Engagement / per sprint

We design and ship the system behind a CI/CD pipeline — tested, previewed, reversible.

  • Everything in Assess
  • Applied AI / platform build
  • Preview environments & CI
  • Evaluation & observability
  • Embedded with your team
Scope a build

Operate

Retainer / monthly

We run what we ship — or hand over a paved road and keep it healthy.

  • Everything in Build
  • Monitoring, SLOs & on-call
  • Capacity & cost reviews
  • Security & dependency audits
Talk operations
Blog

Field notes on AI & infrastructure

The craft of shipping intelligent systems — written by the people who run them.

All posts

FAQ

Frequently asked questions

What does 8purple actually do?

We design, build and operate intelligent infrastructure: AI products, GPU compute, cloud and hybrid platforms, and the software on top of them.

Do you work with existing teams?

Yes. Most engagements embed with your engineers — we bring the platform and practices, your team keeps the ownership and knowledge.

Can you host workloads on-premises?

We run hybrid setups daily: steady-state services on owned hardware, burst and edge traffic in the cloud, one set of manifests for both.

How do projects start?

With a short assessment — one to two weeks, a fixed price, and a concrete architecture plus a roadmap you can execute with or without us.

How do you keep AI features trustworthy?

Evaluation before features: golden datasets, faithfulness checks, citations on every answer, and monitoring that catches drift before users do.

Have a workload in mind?

Tell us what you’re building — we’ll reply with an honest take on the smallest thing that could work.