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e& UAE and Core42 launch Sovereign AI Compute

A joint e& UAE and Core42 platform gives UAE enterprises and government entities on-demand GPU compute with data residency inside the country, zero egress fees and an OpEx-only pricing model — announced 20 July 2026.

UAE and Abu Dhabi flags against a data centre backdrop — e& UAE and Core42 launched Sovereign AI Compute on 20 July 2026

Common questions on this topic

What is Sovereign AI Compute in the UAE and who launched it?

Sovereign AI Compute is a GPU-as-a-service platform for enterprise AI announced on 20 July 2026 by e& UAE together with Core42, a G42 company. Both partners position it as the UAE's first sovereign GPU compute platform for enterprise AI: heterogeneous GPU accelerators are supplied by Core42, high-bandwidth carrier-grade connectivity comes from e& UAE, and the whole thing is delivered on an OpEx-only basis so buyers do not have to purchase hardware upfront.

What does 'data residency' mean in this context?

It means that when a customer trains or runs an AI model on Sovereign AI Compute, the training data, the model artefacts and the inference traffic all stay on infrastructure located inside the UAE, under UAE jurisdiction. For sectors regulated by CBUAE, DFSA or VARA, and for government workloads under the country's Personal Data Protection Law, that is the difference between an in-scope architecture and one that needs additional legal engineering to be usable.

What is the point of zero egress fees and the no-capex model?

Egress fees — the per-gigabyte charge to move data out of a cloud region — are one of the least visible line items in AI infrastructure bills, and they scale with usage rather than with value delivered. Zero egress removes that tax. The no-capex, OpEx-only model means customers do not buy GPUs, do not commission a data centre and do not sign multi-year hardware leases; they consume compute on demand and scale it up or down as their workloads change.

Which sectors is the platform aimed at?

The partners name government, healthcare, financial services, energy, education, retail, manufacturing, industrial operations and large enterprises. In practice the target is any organisation that combines two conditions: sensitive or regulated data that should not leave the country, and workloads heavy enough to benefit from GPU acceleration — fraud analytics in banking, clinical AI in healthcare, operational AI in energy and manufacturing, personalisation and forecasting in retail.

How does it relate to UAE PDPL and the National AI Strategy 2031?

The UAE Personal Data Protection Law — Federal Decree-Law 45/2021 — sets the ground rules for handling and transferring personal data, and sector regulators such as CBUAE, DFSA and VARA layer additional data residency requirements on top. A GPU platform where data stays inside the country makes compliance with that stack materially simpler. The National AI Strategy 2031 aims for the UAE to lead in applied AI, and domestic GPU capacity is one of the enabling ingredients — Sovereign AI Compute is one of the commercial forms in which that capacity now reaches enterprise buyers.

On 20 July 2026, e& UAE and Core42 — the G42 sovereign cloud and AI infrastructure company — announced Sovereign AI Compute, positioned by both partners as the UAE's first sovereign GPU compute platform for enterprise AI, with data residency inside the country, zero egress fees and an OpEx-only commercial model.

What e& UAE and Core42 have launched

Sovereign AI Compute is a joint offering that lets UAE-based enterprises and government entities run production AI workloads on GPU infrastructure without moving their data outside national borders. Instead of buying accelerators and standing up their own AI stack, customers consume compute as a service. The operational contour reads like a checklist:

  • Data residency inside the UAE — training data, model artefacts and inference traffic stay within the country's jurisdiction.
  • Heterogeneous GPU accelerators supplied by Core42, so workloads can be matched to the accelerator that fits, rather than to whatever hardware happens to be in stock.
  • Zero egress fees, removing the traffic-out tax that quietly inflates AI bills on hyperscalers.
  • OpEx-only model — no upfront capex, on-demand consumption, scale up and down as workloads move.
  • Core42 Delivery Services — implementation, integration and platform expertise from the Core42 side of the deal.
  • Carrier-grade connectivity from e& UAE — high-bandwidth, low-latency links stitched into the offering.

Alongside the platform, e& UAE is launching GPU Connect — a commercial bundle that packages GPU access together with premium connectivity in a single contract. In effect, buyers get the compute and the network to feed it as one line item, rather than assembling the two separately.

Who it's for: banks, fintech, government, retail, large enterprises

The partners position the platform for organisations that cannot casually send sensitive data to another jurisdiction. In the UAE, that group is not narrow.

Banking and fintech. Institutions supervised by CBUAE, DFSA and VARA have data residency requirements covering customer, transaction and KYC data. Running fraud models, credit scoring or portfolio analytics on infrastructure that stays inside the country becomes an easier compliance conversation than routing the same workloads through an offshore region.

Government and public sector. Federal and emirate-level agencies handling citizen data, regulatory data and public services are the natural buyers for a sovereign stack — particularly for AI-assisted services where the data feeding the model is the sensitive part.

International HQs and regional operations. Multinationals running Middle East, North Africa and South Asia operations from Dubai or Abu Dhabi get a way to keep regional data under UAE jurisdiction while still tapping frontier-scale GPUs — the kind of workload that used to force teams into either a Frankfurt region or a US region by default.

Healthcare, energy, industry and retail. Verticals with either regulated data (medical records, industrial telemetry) or high-volume operational data (retail transactions, supply-chain events, manufacturing sensors) get a platform on which to build sector-specific AI without pulling everything into a hyperscaler contract.

"AI is becoming a key part of how organisations operate. Through our collaboration with Core42, we are enabling UAE enterprises and government entities a simpler, faster and more secure way to access sovereign GPU infrastructure," said Esam Mahmoud, Senior Vice President SMB Sales and Marketing at e& UAE.

The wider agreement between the two companies also covers the Signature National Disaster Recovery Cloud from Core42, aimed at government agencies and operators of critical-sector infrastructure. In other words, a resilience layer sits next to the AI compute layer inside the same partnership.

Regulatory and strategic context

The launch lands on top of a regulatory frame that has been tightening for several years. The UAE's Personal Data Protection Law — Federal Decree-Law 45/2021 — codifies how personal data must be handled and transferred. Sector regulators layer on top of that: CBUAE for banks, DFSA for the DIFC financial ecosystem, VARA for virtual assets. Each of them has data residency requirements inside its perimeter. A sovereign GPU platform maps neatly onto that picture.

It also fits the country's National AI Strategy 2031, which points the UAE at leadership in applied AI rather than at being a downstream consumer of it. Domestic GPU capacity is one of the missing ingredients if the ambition is to have AI built and trained locally, not rented from abroad.

The strategic backdrop for Core42 is the sequence of deals that turned G42 into a hub for frontier compute in the Gulf. In April 2024, Microsoft announced a $1.5 billion investment in G42. In May 2025, G42 and OpenAI were named among the partners behind Stargate UAE. Sovereign AI Compute is the commercial edge of that stack — the point where the underlying capacity meets an enterprise procurement form.

"AI deployment at scale demands infrastructure that can operate securely, compliantly, and with the resilience required for real-world execution," said Jaafar Al Hashmi, VP of Government Relations and Market Development at Core42.

Several practical questions were not addressed in the announcement: published pricing per GPU-hour, which specific accelerator families sit behind the "heterogeneous" label, SLA terms for regulated workloads, and how Sovereign AI Compute will interact commercially with hyperscaler regions already operating inside the UAE. Those will most likely surface when the first named customers start talking publicly.

Based on the joint press release by e& UAE and Core42 distributed via Zawya, and reporting by Compare The Cloud, TradeArabia and TahawulTech.

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