Gulf & Middle East · AI Infrastructure

Build your AI data center
right the first time.

بناء مركز بيانات الذكاء الاصطناعي بكفاءة من اليوم الأول

Gulf sovereign AI programs are spending $100B+ on GPU infrastructure. Most clusters run at 20% efficiency. NYDUX fixes this — fixed-price, 5 days, before you waste $300K–$600K per year.

Book a free 20-min call See the diagnostic →
80%+
MFU from day one
$480K
Annual savings recovered
5 days
Diagnostic delivery
$100B+
Gulf AI infra mandates
Gulf Sovereign AI Market

The build-out is happening now.
The capability gap is real.

Saudi Arabia, UAE, and Qatar are deploying the largest AI infrastructure programs in history. NYDUX provides the technical depth to ensure these facilities perform from day one.

🇸🇦
Saudi Arabia
$77B
HUMAIN strategy — 1.9 GW target by 2030. NEOM DataVolt $5B, 1.5 GW Oxagon. 35,000 NVIDIA Blackwell chips approved 2025.
HUMAIN ARAMCO AI NEOM SDAIA Vision 2030
🇦🇪
United Arab Emirates
5 GW
World's largest AI campus outside the US. $15.2B Microsoft commitment 2023–2029. Stargate UAE Phase 1 live 2026 (OpenAI / Oracle / NVIDIA / Cisco).
G42 Khazna Core42 Stargate UAE MGX
🇶🇦
Qatar
$20B
Qai + Brookfield AI infrastructure JV, December 2025. Qatar MCIT national AI strategy. Emerging third Gulf pole for sovereign AI compute.
Qatar MCIT Qai Brookfield
NYDUX Consulting Offerings

Three ways to work
with NYDUX.

Every engagement starts with a diagnostic. The data center readiness assessment is for teams building from scratch. The retainer is for ongoing technical leadership.

GPU Cluster Diagnostic
$5,000
Identify where your cluster is losing efficiency. Fixed-price. 5 business days. Full report with recovery roadmap.
  • NCCL collective communication audit
  • MTU boundary analysis
  • Topology mismatch detection
  • MFU baseline + recovery estimate
  • 90-day improvement roadmap
🧭
Fractional AI Infrastructure CTO
$8K–$15K/mo
Ongoing technical leadership for sovereign AI teams. Vendor-neutral. Senior engineer on keyboard. Not slide decks.
  • Weekly infrastructure review
  • Vendor selection & procurement advisory
  • GPU FinOps & cost governance
  • Quarterly MFU benchmark sprints
  • Team upskilling & knowledge transfer
Why NYDUX

Technical depth
the Big 4 can't field.

Deloitte launched their AI Infrastructure CoE in September 2025. Accenture has 30,000 people in their NVIDIA Business Group. Neither can staff an engineer who has actually run nccl-tests on a 256-GPU cluster.

01

Vendor-neutral

No hardware pull-through. No preferred OEM. Recommendations based on your workload, not our commission.

02

Engineer on keyboard

Founder-led delivery. The person on your call is the person running your benchmark. No junior-to-senior handoff.

03

Gulf-literate

Saudi PDPL, NCA cloud framework, UAE data residency, ICV requirements — built into every engagement from day one.

04

Fixed-price, fast delivery

$5K diagnostic, 5 days. $15–25K readiness assessment, 2 weeks. No retainer required to start.

Real results — 128-GPU A100 cluster
MFU
7%
40%
AllReduce latency
4.2ms
0.8ms
Training time (same job)
7 days
18 hours
MTU cliff (64KB)
158μs
21μs
Interventions
3 changes
Same hardware
$480K+
Annual compute savings recovered
Trusted by engineers at

Ready to build your AI
data center right?

Book a free 20-minute infrastructure call. We'll map your facility plan to the NYDUX readiness framework and identify where the biggest risks and savings are.

احجز مكالمة مجانية لمدة 20 دقيقة — نقيّم متطلبات مركز بياناتك
Or visit nydux.ai/diagnostic · Benchmarks at GitHub