how many gpu chips huawei made in last 3 years yoy and future projection for 2026 and how much compute capacity it will add?

Despite severe U.S. export controls cutting off access to TSMC's advanced manufacturing nodes, Huawei has managed a remarkable, albeit constrained, ramp-up of its Ascend AI processors over the last three years. By partnering closely with China’s domestic foundry, SMIC, Huawei has effectively become the primary supplier of AI compute for China's tech giants like Alibaba, Tencent, Baidu, and DeepSeek.

Here is the breakdown of Huawei’s AI chip production (focusing on its top-tier Ascend data center chips) over the last three years, its aggressive 2026 targets, and the compute capacity this will unleash.

Production Volume: The Last 3 Years (YoY)

Huawei’s transition from early-stage survival to mass production has been gated entirely by SMIC’s ability to manufacture 7nm chips using older Deep Ultraviolet (DUV) lithography machines.

• 2023: Low volume. This was a transitional year. Huawei had depleted its pre-sanction stockpile of TSMC-made chips and began the early ramp of the Ascend 910B using SMIC’s 7nm (N+1) process. Yields were notoriously low.
• 2024: ~400,000 units. Production began scaling meaningfully with the Ascend 910B. However, SMIC’s yield rate hovered around a dismal 20%, heavily restricting total output and driving up costs.
• 2025:****~700,000 to 805,000 units. A massive leap. SMIC improved its 7nm (N+2) yields to an estimated 30–50%. This volume consisted of a mix of 910B chips and the introduction of the dual-die Ascend 910C.

2026 Projections: The "SuperPoD" Era

As of mid-2026, Huawei is moving aggressively to supply China's hyperscalers, who are now formally mandated by the Chinese government to pivot away from NVIDIA.

• Unit Volume: Huawei projects it will produce up to 1.6 million Ascend dies across its entire lineup in 2026.
• High-End Shipments: Within that total, Huawei is targeting 600,000 to 750,000 shipments of its top-tier chips—specifically the Ascend 910C and the newly launched Ascend 950PR (which entered mass production in March 2026).
• Revenue: Huawei expects its AI chip revenue to jump at least 60% year-over-year, reaching roughly $12 billion in 2026, up from $7.5 billion in 2025.

How Much Compute Capacity Will This Add?

To understand the impact of these ~750,000 top-tier chips hitting Chinese data centers in 2026, we have to look at their raw throughput.

Huawei's hardware strategy relies on the "Tau Scaling Law" (LogicFolding)—essentially stacking older 7nm silicon and relying heavily on advanced interconnects (like its UnifiedBus) to make up for the fact that they cannot build smaller 4nm or 3nm transistors like NVIDIA.

• Per-Chip Performance: The Ascend 910C delivers roughly 780 to 800 TFLOPS of BF16/FP16 compute. The newer Ascend 950PR pushes this to 1 PFLOPS in FP8 and 1.56 PFLOPS in FP4 precision.
• Total 2026 Capacity Added: Injecting ~750,000 of these chips into the market will add approximately 500 to 600 ExaFLOPS of BF16/FP16 compute capacity to China's AI infrastructure in a single year.

The NVIDIA Equivalent: While a single Ascend 910C has roughly 30% to 40% of the raw BF16 throughput of an NVIDIA B200 (or about 50% to 60% of an H100), volume makes up for the deficit. The compute capacity Huawei is adding in 2026 is roughly equivalent to a U.S. hyperscaler deploying a fleet of 250,000 to 300,000 NVIDIA H100 GPUs.

While this hardware requires drastically more power and physical space to run than an equivalent NVIDIA cluster, it proves that China has established a viable, entirely domestic pipeline capable of sustaining frontier-level AI development.