GPU-aware AI architecture practice
Public architecture work focused on how accelerated compute, model serving, and agent workloads fit into practical AI systems.
AI Architecture hubPartnerships
NVIDIA
Strategic alignmentFrankX
AI Architect — GPU-aware AI CoE practice
Silicon-aware AI CoE methodology for the EMEA accelerator wave.
Public, independent alignment proposal for GPU-aware agent workloads, creator infrastructure, and enterprise AI education.
A deeper conversation is open with NVIDIA. The proposal page comes online when both sides are ready to publish.
Context
The market this conversation sits inside.
GPU and accelerator infrastructure is the silicon layer of modern AI architecture. NIM, NeMo, and the NVIDIA AI Enterprise stack are useful public reference points for builders who need to connect model infrastructure, agent workloads, and deployment discipline.
The public proof is the open body of work: AI architecture writing, agentic creator systems, and reference implementations that translate cloud and model infrastructure into working creator/operator patterns.
The strategic alignment is about GPU-aware agent systems and independent education for builders who want to understand where accelerated infrastructure changes the operating model.
Working reality
What I already build with this kind of partner.
Verifiable today. The proposal section below builds from here, not in place of it.
NIM and agent workload learning track
NIM and related NVIDIA tooling are treated as public infrastructure references for understanding the bridge from GPU services to agentic applications.
AI CoE methodology — GPU infrastructure to agent workloads
The CoE methodology bridges accelerated compute and agent workloads cleanly. GPU-aware reference architectures, NIM-pattern deployment shapes, agent harnesses that respect the silicon. The bridge is the practice.
Independent education and reference implementation
FrankX turns public architecture knowledge into explainers, workshops, and open-source patterns that builders can inspect and adapt.
Conversation open
A deeper conversation with NVIDIA is in motion.
The proposal page comes online when both sides are ready to publish. Until then, the working partnerships hub explains how I collaborate at this depth.
If you're reading this and the conversation is yours to open on the NVIDIA side, the calendar link is below.
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