Cloud Engine-Cost-effective AI GPU Rental Platform

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Global GPU Computing News【20250927】

  1. Huawei's Ascend AI Ecosystem Continues to Expand: Huawei is collaborating with numerous domestic cloud service providers and universities to promote the adoption of its Ascend AI computing platform in various industries and scientific research, aiming to build a more robust domestic computing ecosystem.

  2. Biren Technology Releases New Generation Domestic GPU: Biren Technology officially launched its new generation of general-purpose GPU chip, highlighting its performance improvements in AI training and high-performance computing, thereby enriching the options for domestic high-end GPUs.

  3. Tencent Cloud Reduces Prices for Some GPU Servers: In response to market competition and to attract more AI developers, Tencent Cloud announced price adjustments for some models of GPU computing instances, with an average reduction of about 10-15%.

  4. Beijing Introduces AI Compute Voucher Policy: To support AI innovation by SMEs and research teams, Beijing began issuing "AI compute vouchers" to subsidize the costs associated with using public AI computing platforms.

  5. Moore Threads' GPUs Achieve Full Compatibility with Latest AI Frameworks: Moore Threads announced that its full-feature GPUs have achieved deep adaptation with mainstream deep learning frameworks like PyTorch 2.0 and TensorFlow, improving the ease of using domestic hardware for AI development.

  6. NVIDIA Unveils Next-Generation Blackwell Architecture GPUs: NVIDIA officially launched its new B200 and other GPUs based on the Blackwell architecture, boasting a massive leap in AI performance over the previous generation, particularly emphasizing breakthroughs in trillion-parameter model inference and energy efficiency.

  7. Microsoft Azure Significantly Expands AMD MI300X Compute Capacity: Microsoft announced the large-scale deployment of AMD's Instinct MI300X AI accelerators on its Azure cloud platform, providing customers with a high-performance computing alternative to NVIDIA and intensifying competition in the AI chip market.

  8. Amazon AWS Launches New Generation of In-House AI Chips: AWS released its new in-house Trainium2 AI training chip and Graviton4 general-purpose processor, designed to offer its cloud customers more cost-effective and energy-efficient computing options, reducing reliance on third-party chips.

  9. OpenAI Reportedly Planning Its Own AI Chip Fabrication Network: Media reports suggest that OpenAI is exploring collaborations with leading chip manufacturers to invest in building a network of AI-focused fabrication plants, addressing the strategic issue of future computing power constraints.

  10. EU Launches AI Factories Initiative: The European Commission initiated a support plan called "AI Factories," bringing together various stakeholders to invest in European AI supercomputing centers, aiming to boost the EU's overall AI computing capacity and competitiveness.

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