Author: Computer Tech

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Sunday, January 26th 2025

A few days ago, we reported on the US reading a massive 500 billion US Dollar package called “Stargate Project” to build AI infrastructure on American soil. However, China is also planning to stay close behind, or even overlap the US in some areas, with a one trillion Yuan “AI Industry Development Action Plan”. Translating into around 138 billion US Dollars at the time of writing, the Chinese AI plan is similar to the US Stargate project: develop AI infrastructure through data center expansion and AI accelerator scale-up. Unlike the Stargate project, led by private initiatives and OpenAI at the helm, the Chinese AI Industry Development Action Plan is an entirely state-sponsored initiative that will fund firms like Baidu, ByteDance, Alibaba, and DeepSeek with additional AI accelerators (or sanction-abiding GPUs) to create more advanced AI systems.

Over the past few days, DeepSeek, a branch of a Chinese hedge fund, has not only open-sourced its R1 reasoning model but made it entirely free to use for everyone. This has challenged moat of Western competitors like OpenAI, pushing its CEO Sam Altman to offer an O3-mini reasoning model for up to 100 queries per day for the ChatGPT Plus user tier. Not only did DeepSeek provide a model equally intelligent to OpenAI’s best, but it also offered it completely free. This has stirred up the tech community quite a bit and showed that Chinese companies are not much behind Western competitors. With this AI action plan, the Chinese government wants to push its domestic AI makers even further ahead and allow them to overtake cutting-edge model development potentially. Of course, getting GPUs for these projects remains an intricate task, but with export control loopholes and domestic AI accelerator development, the AI arms race is picking up quite a bit.

Source: Ray Wang on X

Related News

Yes, the title is correct. One of NVIDIA’s GeForce RTX 5090D “China” edition GPUs, not the regular RTX 5090, managed to run at 3.4 GHz under liquid nitrogen. With a staggering 575 W default TDP, Tony Yu, ASUS China’s general manager, has performed physical modifications that allow the card to run up to 1000 W TDP. The RTX 5090D is a China-exclusive variant with virtually no difference from the regular RTX 5090, just limited general AI capability due to US export regulations. ASUS China used its top-end Astral OC variant for this stunt, which, as we proved in our review of the regular ASUS RTX 5090 Astral OC, has some pretty good chip binning, allowing the card to reach the highest overclock. We pushed the regular RTX 5090 Astral OC GPU on air to 3086 MHz, a +277 MHz over the stock boost setting. However, the RTX 5090D equivalent under LN2 manages to reach 3,390 MHz at peak loads, which is a +581 MHz difference.

For memory, the overclock is equally impressive with 34 Gbps. Regarding performance, the LN2-overclocked RTX 5090D surpassed stock performance by approximately 16%. During benchmark tests, the GPU outperformed multiple previous-generation graphics cards, including a dual RTX 3090 Ti configuration in Port Royal and a quad GTX 1080 Ti setup in Fire Strike. Power consumption figures indicate that 1,760 W was used in total for a rig with ASUS ROG Astral RTX 5090D, which is paired with the Ryzen 7 9800X3D on the ASUS ROG X870E Hero motherboard. This roughly yields a 1,000 W power consumption by the card, which has seen its PCB get physical modifications to output such high power.

A set of newly leaked benchmarks has revealed the performance capabilities of NVIDIA’s upcoming RTX 5080 GPU. Scheduled to launch alongside the RTX 5090 on January 30, the GPU was spotted on Geekbench under OpenCL and Vulkan benchmark tests—and based on the performance, it might not make it among the best graphics cards. The tested device was an MSI-branded RTX 5080 labeled as model MS-7E62. This setup had AMD’s Ryzen 7 9800X3D processor, which many consider one of the best CPUs for gaming. It also included an MSI MPG 850 Edge TI Wi-Fi motherboard and 32 GB of DDR5-6000 memory.

The benchmark results show that the RTX 5080 scored 261,836 points in Vulkan and 256,138 points in OpenCL tests. Compared to the RTX 4080, its previous version, the RTX 5080 has a 22% boost in Vulkan performance and a small 6.7% gain in OpenCL. Reddit user TruthPhoenixV found that on the Blender Open Data platform, the GPU got a median score of 9,063.77. This score is 9.4% higher than the RTX 4080 and 8.2% better than the RTX 4080 Super. Even with these improvements, the RTX 5080 might not outperform the current-gen top-tier RTX 4090. In the past, NVIDIA’s 80-class GPUs have beaten the 90-class GPUs from the previous generation, but these early numbers suggest this trend might not continue for the RTX 5080.

The RTX 5080 uses NVIDIA’s latest Blackwell architecture, with 10,752 CUDA cores spread across 84 Streaming Multiprocessors (SMs) versus the 9,728 cores in the RTX 4080. It has 16 GB of GDDR7 memory on a 256-bit bus. NVIDIA says it can deliver 1,801 TOPS in AI performance through Tensor Cores and 171 TeraFLOPS of ray tracing performance using its RT Cores.

That said, it’s important to note that these benchmark results have not been fully verified so we should wait for the review embargo to lift before concluding.

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