As the Middle East
accelerates investment in artificial intelligence and the infrastructure needed
to support it, Huawei has unveiled a new generation of AI computing
technologies designed to address the growing demands of complex AI models.
Announced at Huawei
Connect 2026 in Shanghai, the new technologies include the Atlas 960E, the
industry’s first NPO-based SuperPoD, and Hi-ONE, which is the industry’s first
mass-production-ready near-packaged optics (NPO) optical engine and the first
with a built-in light source. Huawei also revealed that the development of its
next-generation Ascend 960 AI chips is progressing ahead of schedule, as the
company moves towards a one-generation-per-year chip development cycle.
The announcements come as
AI infrastructure becomes a critical part of the Middle East’s technology
ambitions. Governments and businesses across the region are moving beyond AI
experimentation towards deployment at scale in line with national visions, driving
demand for the computing capacity, energy efficiency and reliability needed to
train and run sophisticated models.
Huawei’s latest
infrastructure is designed for this next stage of AI development. Foundation
models are rapidly approaching 10 trillion parameters, placing significantly
greater demands on the systems that train and run them. Huawei expects models
to exceed 100 trillion parameters by 2030.
Among Huawei’s key
announcements at the event is the Atlas 960E SuperPoD, powered by the company’s
UnifiedBus architecture and its new Hi-ONE optical engine. A single Atlas 960E
can scale to 4,096 NPUs, delivering 8 EFLOPS of FP8 computing performance and
16 EFLOPS at FP4 precision, with up to 1 petabyte of HBM capacity.
The system incorporates
5,500 Hi-ONE units, removing the need for approximately 48,000 conventional
800G optical modules. Huawei says this reduces power consumption by more than
550 kilowatts, while doubling fault-free operating time and achieving 99.8% system
availability.
Hi-ONE is also designed
to improve the efficiency of high-speed optical interconnects as AI
infrastructure expands. Its architecture reduces power consumption by
approximately 66% and signal transmission latency by around 90%, while Huawei
says its integrated design improves overall reliability by ten times.
David Wang, Deputy
Chairman of the Board and Rotating Chairman at Huawei, said: “AI is advancing faster than any technological revolution we have seen
before, and the demands it places on computing infrastructure are growing just
as quickly. While models become larger and more complex, we need to rethink how
computing systems are designed, connected and scaled. At Huawei, we are
addressing this through continued innovation in systems and architecture, from
chips and interconnects to SuperPoDs and SuperClusters, while making computing
power more readily accessible. No single company can build an intelligent world
alone, which is why we will continue to work with customers, partners and
developers to build the foundations needed for this next stage of AI.”
Accelerating the next
generation of AI compute
Huawei also provided an
update on its Ascend AI chip roadmap. Ascend 960DT is expected in the first
quarter of 2027, three quarters ahead of the company’s original roadmap,
followed by Ascend 960PR in the third quarter of 2027, one quarter ahead of
schedule.
Huawei is moving to a
one-generation-per-year development cycle, with Ascend 970 scheduled for 2028
and Ascend 980 for 2029. The company expects compute specifications to continue
doubling with each generation.
“We’re evolving our
Ascend chip series on a one-generation-a-year cycle,” Wang said. “Thanks to the
Tau (τ) Scaling Law, not only will their compute specifications continue to double, but you
can also expect to see huge improvements across the board in terms of memory
bandwidth, memory capacity, interconnect bandwidth, and more.”
Scaling AI infrastructure
and its ecosystem
Beyond individual
SuperPoDs, Huawei’s architecture enables multiple Atlas 960E systems to form
SuperClusters that can scale to as many as one million NPUs. The company also
unveiled the upgraded TaiShan 950 SuperPoD and OceanStor M900 context memory
storage cluster, extending its infrastructure portfolio across computing and
storage.
Huawei is also expanding
its open computing ecosystem. Ascend now supports more than 90 third-party
open-source projects, while the Kunpeng ecosystem has grown to more than 4.16
million developers and 7,200 partners globally. CANN, the foundation of the Ascend
software ecosystem, has also moved to sustained community-driven open-source
development.
Huawei Connect 2026 runs until
September 19 in Shanghai under the theme “Advancing the Agentic World.”
