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The chips that train and run AI models: GPUs, TPUs and other accelerators, and which models were trained on them.
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2026
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Jan 29, 2026
Alibaba T-Head Zhenwu 810E
Zhenwu 810E is an AI processor designed by Alibaba's chip team T-Head, listed in January 2026 with 96 GB of high-bandwidth memory, aimed at training, inference and autonomous driving, and already deployed in large clusters on Alibaba Cloud.
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2026
Cambricon MLU 690
Cambricon's flagship MLU 690, in mass production since early 2026, is a dual-die accelerator with 196 GB of HBM3 memory and more than 700 TFLOPS of FP16 compute, aimed at very large-scale training workloads.
2025
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Sep 18, 2025
Huawei Ascend 970
Huawei's Ascend 970 is a planned AI chip announced in September 2025 as the last entry on the company's published roadmap, targeted for the fourth quarter of 2028 with roughly double the compute and wider interconnect and memory bandwidth than the Ascend 960.
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Sep 18, 2025
Huawei Ascend 960
The Ascend 960 is a Huawei AI chip on the company's three-year roadmap, slated for the fourth quarter of 2027 with twice the compute, memory and interconnect ports of the Ascend 950 and support for Huawei's HiF4 4-bit format.
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Sep 18, 2025
Huawei Ascend 950
Huawei's Ascend 950 is a two-chip AI series announced in September 2025, pairing a shared die with Huawei's own high bandwidth memory, up to 2 PFLOPS in low precision formats and 2 TB/s interconnect.
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2025
Moore Threads MTT S5000
Moore Threads' flagship training-and-inference GPU card, built on the PH100 chip and the Pinghu architecture, rated at 1,000 TFLOPS of dense AI compute with 80 GB of memory, and the company's main shipping product in 2025.
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2025
Hygon DCU Shengsuan No. 3
Hygon's Shengsuan No. 3 is a GPGPU-architecture deep computing processor that reached the market in 2025, built on a 7 nm chiplet design with 1.8 TB/s of HBM bandwidth and a CUDA-like software stack.
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2025
Huawei CloudMatrix 384
Huawei CloudMatrix384 is a Huawei Cloud service instance built on Atlas 900 A3 SuperPoDs, each linking up to 384 Ascend 910C chips so that they work as one computer.
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2025
Huawei Ascend 910C
Huawei's Ascend 910C is a data-center AI chip in the 910 series, built on the Da Vinci architecture. It reached the market in the first quarter of 2025 with 800 TFLOPS of FP16 compute and 128 GB of HBM.
2024
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2024
Kunlunxin P800
The Kunlunxin P800 is a Chinese AI accelerator launched in 2024, the third generation of Kunlunxin's line, built on its own XPU-P architecture and used in large training clusters and in customer deployments.
2023
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Mar 2023
NVIDIA H800
The H800 is a China-market version of NVIDIA's H100 data-center GPU, adapted to fit the US export rules of October 2022 by cutting chip-to-chip transfer speed. It was later used to train DeepSeek-V3 and was covered by tighter US controls in October 2023.
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2023
Huawei Ascend 910B
Huawei's Ascend 910B is a 2023 volume-production AI chip rated at 320 TFLOPS of FP16, with 32 GB of HBM2e memory, 1.6 TB/s of bandwidth and a 310 W envelope on a 7-nanometer domestic process.
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2023
NVIDIA H20
NVIDIA's China-specific data-center GPU, built to stay inside US export controls. Cut down from the H100 in core count and performance, it was still the most advanced NVIDIA chip legally sold in China until April 2025.
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2023
Cambricon MLU 590
Cambricon's MLU 590 is a 7 nm cloud AI chip released in 2023 for both training and inference on models with hundreds of billions of parameters, and the centrepiece of the company's fifth-generation MLUarch line.
2022
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Aug 2022
Biren BR100
Biren's general-purpose GPU, released in August 2022, packages two dies on a 7 nm process with 77 billion transistors; the company claimed PFLOPS-level single-chip compute, a first for a Chinese firm.
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2022
NVIDIA A800
NVIDIA's A800 is a data-center GPU that went into production in 2022 as a China-market alternative to the A100, with a reduced chip-to-chip transfer rate to meet US export-control thresholds.
2021
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2021
Cambricon MLU 370
Cambricon's third-generation cloud AI chip, released in 2021: a 7 nm chiplet design with two compute dies, 256 TOPS at INT8, LPDDR5 memory and multi-chip interconnect, positioned for cost-effective inference.
2019
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Aug 23, 2019
Huawei Ascend 910
Huawei's Ascend 910 is an AI training processor launched in 2019 alongside the MindSpore framework, rated at 256 teraflops FP16 and used to train the PanGu-α language models on clusters of thousands of chips.
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MetaX Xicloud C600
The Xicloud C600 is a MetaX data-center GPU built on the company's own GPGPU architecture, offering very large ECC-protected memory, MetaXLink scaling up to 128-GPU supernodes, a 1,000 W OAM 2.0 module, and air or liquid cooling.
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NVIDIA DGX Spark
NVIDIA's DGX Spark is a desktop-sized AI computer built on the GB10 Grace Blackwell Superchip, pairing a 20-core Arm CPU with a Blackwell GPU and up to 128 GB of unified memory for running large models locally.