Edge-to-Core AI. One Unified Fabric.
GPU compute, distributed inference, and private global connectivity — built where your data and your citizens are.
Deploy, connect, and accelerate AI workloads at the edge — on a private, low-latency global fabric. Sovereign-ready GPU compute and intelligent gateways, delivered in partnership with Equinix and Zenlayer.
Artificial intelligence is only as useful as the infrastructure beneath it. AIS integrates a complete AI stack — GPU cloud, bare-metal, distributed inference, and intelligent gateways — onto a private, low-latency backbone that reaches users on six continents. The result: governments and enterprises can train, deploy, and serve AI models close to their data and their citizens, without depending on the congested public internet.
Delivered in partnership with Equinix and Zenlayer, the platform combines carrier-neutral data centers, a software-defined global network, and edge compute into a single managed offering. A deployment can begin with a primary site — such as a Los Angeles cage — and expand toward regional operational centers in Addis Ababa, Lagos, Djibouti, and Nairobi, all on the same fabric and control plane.
An end-to-end AI & edge platform that unifies GPU cloud, bare-metal, and elastic compute with distributed inference, an AI gateway, and an MCP gateway — all orchestrated through a single control plane and interconnected over a private global backbone. Custom AI deployment, edge data-center services, and 24/7 managed operations complete the stack.
Because AI now underpins national services, and where it runs matters. Private, sovereign-ready infrastructure keeps sensitive data in-country, bypasses the public internet for security and performance, and provides diverse, resilient connectivity for disaster recovery — while still reaching citizens and partners globally through our partners' 500+ combined points of presence.
A single managed platform — delivered with Equinix and Zenlayer — uniting global reach, architecture, security, and speed of execution.
500+ combined points of presence and private backbone capacity across six continents.
One managed layer across space, power, network, compute, and storage — including managed services.
Securely bypass the public internet and navigate regional regulation using private, managed gateways.
Accelerate market entry and remove the complexity of multi-carrier, multi-cloud deployments.
One control plane, from AI applications down to the metal — a full suite of products to deploy, connect, and accelerate your applications at the edge.
Serve models from the location closest to each user. Inference is distributed across edge nodes on the private backbone, cutting round-trip latency for real-time AI applications while keeping traffic off the public internet.
A software-defined interconnect that stitches GPU clusters, storage, and clouds into one low-latency mesh. Provision dedicated capacity between sites on demand — no physical cross-connects to wait on.
A single, governed entry point to models and inference endpoints — with routing, rate control, and observability — so applications consume AI safely and consistently across the estate.
Connect AI agents to tools and data sources through a managed Model Context Protocol gateway — standardized, auditable integration between LLMs and the systems they act on.
High-density GPU cloud and dedicated bare-metal for training and inference — 30+ kW/cabinet AI-ready capacity in carrier-neutral facilities, with elastic compute to scale on demand.
From architecture and edge data-center build-out to 24/7 managed operations under ITIL governance — AIS runs the platform end to end so your teams focus on outcomes, not infrastructure.
Global reach delivered through our infrastructure partners Equinix and Zenlayer.
This is not an Africa-only network — it is a bridge. A deployment can begin at a primary Los Angeles site and extend to regional operational centers in Addis Ababa, Lagos, Djibouti, and Nairobi, linking them to cloud and connectivity hubs across six continents. African institutions reach the world, and the world reaches them, over private and resilient infrastructure.
Dedicated, secure connectivity that joins your sites, clouds, and edge — bypassing the public internet for performance and control.
Dedicated Layer-2 network with secure traffic that needs no encryption overhead, transparent transmission of all protocols, and jumbo-frame support up to 9000+ MTU.
Instant, private Layer-3 connectivity for full-mesh, hub-and-spoke, or custom topologies — with BGP and static routing supported out of the box.
Dedicated L2 and L3 connections to the world's top clouds — AWS, Azure, Google Cloud, Oracle, IBM, and more — for hybrid and multi-cloud AI workloads.
Flexible last-mile access to software or third-party gateway nodes over IPSEC VPN, GRE, and more — improving efficiency and reducing capital expenditure.
Layer-1 point-to-point dedicated bandwidth with high capacity and fully transparent transmission, MTU beyond 9600, and console-based monitoring and alarms.
Scalable, on-demand connections between deployments across metros — 25 Gbps and beyond — for fast data migration, replication, and business continuity.
AI at scale is power-hungry — so it should run clean. Our partner facilities let deployments meet sustainability commitments without compromise.
Renewable energy coverage across 250+ partner data centers globally means workloads can achieve zero market-based emissions from data-center energy use.
Our infrastructure partners have committed to 100% carbon neutrality by 2030 — helping public institutions meet their own ESG and board-level targets.
Site-level Green Power Reports based on third-party verified data simplify compliance with sustainability regulations and decarbonization reporting.
Common questions about sovereign AI compute and private edge connectivity.
Workloads run on dedicated compute inside carrier-neutral facilities and move over private, dedicated connectivity rather than the public internet. Data can be kept in-country or in a designated jurisdiction, with granular control over where models are trained, where inference happens, and where data is stored — helping governments meet data-residency, security, and regulatory requirements while still reaching global users.
We place compute and inference at the edge, close to users, and interconnect it over a private global backbone spanning 500+ combined points of presence across six continents, delivered with our infrastructure partners Equinix and Zenlayer. Traffic bypasses the congested public internet using dedicated Layer 1–3 connectivity, so applications respond in real time even far from the primary data center.
Yes. A typical deployment begins with a primary site — for example a Los Angeles cage — and expands toward regional operational centers such as Addis Ababa, Lagos, Djibouti, and Nairobi. The same fabric, control plane, and managed-service model extend to each new location, so capacity grows without re-architecting.
GPU compute, distributed inference, and private global connectivity — built where your data and your citizens are.
Explore the platform and the proven deployment behind this offering.
The Equinix-powered platform, Fabric, and AI-ready xScale facilities that host these workloads.
Explore Infrastructure →A sovereign-cloud, 99.99%-availability data-center deployment — proof of the model in production.
View the Project →Our solution architects will design a sovereign-ready AI & edge deployment tailored to your data-residency, latency, and resilience requirements — from GPU cloud to private global connectivity.