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Our Mission
We're creating the foundation for the AI-driven future — ensuring the technology of tomorrow can propel our world forward. From GPU clusters to data agents, every layer is designed so that teams of any size can build, serve and scale AI.
Our Story

Built by infrastructure engineers, for AI teams.

AI Weave Holding was founded on a simple observation: AI teams spend too much time fighting infrastructure instead of shipping models.

In 2024, a small team of infrastructure engineers — veterans of hyperscale data centres, GPU cloud platforms and quantitative research — came together in Irvine, California, with a clear thesis: the next generation of AI companies will be built on infrastructure that is operated, not resold.

We started by deploying our own NVIDIA H200 clusters, then built a data agent platform on top of them, then an inference API that routes every request to the right workload profile. Today, AI Weave Holding operates production GPU infrastructure across three regions, serving AI research teams, quantitative hedge funds and enterprise customers who need real performance and full compliance.

We are not a reseller. Every GPU we rent, every cluster we operate, every API endpoint we expose runs on hardware we own and manage. That vertical integration is what allows us to offer the latest silicon (H200, B200, B300) without the six-month waitlists, and to guarantee data residency, zero retention and SOC 2 / HIPAA compliance at the infrastructure layer — not as an afterthought.

Vertical Integration
We own the hardware
Every GPU, every server, every network switch is ours. No resale, no markup on someone else's cloud.
Latest Silicon
H200, B200, B300 — in stock
New generations deployed as soon as they ship. Not on a six-month waitlist.
Compliance First
Built for regulated industries
EU data residency, zero retention, DPA, NDA and audit logs — signed before deployment.
Our Values

The principles that shape how we operate.

Six principles that define how AI Weave Holding builds, operates and supports its infrastructure.

Own the Stack

We operate the infrastructure we sell. No resellers, no intermediaries, no ambiguity about who is responsible when something breaks.

Isolation by Default

Every customer workload runs on single-tenant bare metal. No shared GPU execution, no hypervisor overhead, no noisy neighbours.

EU Data Residency

All data processed and stored within the EU, with full GDPR / AVG compliance. Regional data residency for regulated industries.

Transparent Operations

Clear service boundaries, published pricing, documented SLAs. No hidden fees, no surprise dependencies, no data lock-in.

Engineering Support

Support delivered by engineers who know CUDA, ROCm, NCCL, vLLM and distributed training — not scripts or chatbots.

Latest Silicon, Always

H200, B200 and B300 deployed as soon as they ship. New generations in stock — not on a six-month waitlist.

Our Team

The people behind the infrastructure.

AI Weave Holding is operated by a senior team of engineers, researchers and operators with deep experience in hyperscale infrastructure and AI systems.

AW

Leadership Team

Executive & Strategy

Senior operators with decades of combined experience in distributed systems, GPU infrastructure and AI platform engineering.

Infrastructure Engineering

GPU · Network · Storage

A senior team of systems engineers responsible for bare-metal provisioning, InfiniBand fabric, driver lifecycle and cluster validation.

AI Platform Engineering

Inference · Agents · RAG

Engineers who build and operate the inference stack — vLLM, TensorRT-LLM, SGLang — plus the data agent platform and retrieval pipelines.

Security & Compliance

SOC 2 · HIPAA · GDPR

A dedicated team responsible for data protection, compliance certifications, DPA / NDA coordination and audit documentation.

Customer Engineering

24/7 Support

Human engineers on call 24/7 across all regions. Named account engineers for reserved and enterprise customers.

Applied Research

Benchmarking · Optimization

Researchers who benchmark new models, tune kernels and validate performance SLAs across hardware generations.

Ready to build on our infrastructure?

Tell us about your workload — model size, framework, throughput and timeline. We will send a recommended configuration and quote within one business day.