The DeepSeek AI model, developed by the Chinese artificial intelligence company DeepSeek, has rapidly gained traction in the industry due to its advanced technology and broad application potential. Over the past few weeks, 20 global tech giants have officially announced support for DeepSeek, marking a major milestone in AI model adoption and cloud integration.
According to industry reports, leading international and domestic companies, including NVIDIA, AMD, Microsoft, Amazon AWS, Intel, as well as Chinese AI and GPU leaders such as Huawei Cloud, Tencent Cloud, Alibaba Cloud, Baidu Smart Cloud, and AI hardware firms like Moore Threads, Biren Technology, and Muxi, have integrated DeepSeek's AI models into their platforms. This widespread adoption signals a new wave of AI transformation, emphasizing the need for cost-effective, efficient AI models.
Global AI Leaders Integrate DeepSeek Models
AMD
On January 25, AMD became the first international chipmaker to announce DeepSeek-V3 model support on its Instinct MI300X GPUs. AMD CEO Lisa Su praised DeepSeek's capabilities, stating that its innovation aligns with the rapid evolution of AI technology.
Microsoft
On January 30, Microsoft integrated DeepSeek-R1 into Azure AI Foundry and GitHub, with plans to deploy the model on Copilot+ PC. The company also announced NPU-optimized versions for better performance and energy efficiency.
NVIDIA
On January 31, NVIDIA launched DeepSeek-R1 via its NIM microservices for developers, offering API access for AI-powered applications.
Intel
Intel has confirmed that DeepSeek-R1 can run offline on Core Ultra 200H (Arrow Lake H) AI PCs, enabling real-time translation, document processing, and meeting transcription.
Amazon AWS
Amazon AWS announced support for DeepSeek-R1 on Amazon Bedrock and SageMaker AI, with Amazon Trainium and Inferentia deployment options for cost-effective AI inference.
Chinese Cloud and AI Companies Rapidly Adopt DeepSeek
Huawei Cloud
On February 1, Huawei Cloud introduced DeepSeek V3/R1 inference services through its Ascend Cloud platform, optimizing AI workloads without relying on NVIDIA GPUs.
Tencent Cloud
On February 2, Tencent Cloud integrated DeepSeek-R1 into its high-performance HAI AI platform, enabling one-click deployment and seamless cloud integration.
China Telecom Tianyi Cloud
On February 5, Tianyi Cloud became one of the earliest Chinese cloud providers to support DeepSeek, incorporating it into scientific research, AI computing, and enterprise cloud platforms.
Alibaba Cloud
On February 3, Alibaba Cloud's PAI Model Gallery enabled DeepSeek-V3 and R1 for zero-code AI deployment.
Baidu Smart Cloud
Baidu Cloud launched DeepSeek-R1 and V3 models on its Qianfan AI platform, offering low-cost pricing and limited-time free access.
ByteDance Volcano Engine
ByteDance's Volcano Engine introduced DeepSeek's full model suite for enterprise AI applications on February 4.
AI Hardware and GPU Companies Optimize for DeepSeek
Muxi Technology
On February 2, Muxi announced full compatibility with DeepSeek-R1 on its domestic GPUs, marking a step toward China’s fully independent AI stack.
Tianshu Zhixin
Tianshu Zhixin partnered with Gitee AI to integrate DeepSeek-R1 Distill models into its domestically produced AI chips, supporting local deep-learning frameworks.
Moore Threads
Moore Threads completed DeepSeek AI inference support, ensuring domestic GPUs can handle AI workloads without relying on foreign alternatives.
Hygon Information
Hygon adapted DeepSeek models to its DCU AI acceleration platform, allowing enterprises to deploy AI applications using domestic chips.
Biren Technology
Biren optimized DeepSeek inference workloads on its BR100 AI chip, showcasing China’s high-performance GPU ecosystem.
PPIO Cloud & 360 Digital Security
PPIO Cloud and 360 Digital Security announced DeepSeek integration for private AI security applications, emphasizing AI-driven cybersecurity solutions.
AI Infrastructure Expansion & Cost-Effective Model Training
According to TrendForce, the AI server market has been growing rapidly, with AI-based server shipments expected to exceed 15% of total server shipments by 2025, reaching 20% by 2028. This growth is driven by major CSPs (Cloud Service Providers) scaling AI infrastructure.
To reduce AI training and inference costs, companies are shifting towards smaller, optimized models rather than expanding computational power indefinitely. DeepSeek's Model Distillation technology allows for efficient AI model compression, reducing computational demand while maintaining high accuracy.
Additionally, DeepSeek's cost-effectiveness is achieved through:
Optimized inference for NVIDIA Hopper GPUs, reducing cloud computing expenses.
Distillation-based efficiency, accelerating response times without compromising accuracy.
Open-source API strategy, enabling broad developer adoption and industry standardization.
DeepSeek AI's Market Impact & Future Growth
With 20 global tech companies now supporting DeepSeek AI, the model has established itself as a cost-effective, high-performance alternative in the rapidly evolving AI industry. This widespread adoption underscores the growing demand for AI models optimized for real-world enterprise applications.
As AI models become more efficient and widely available, DeepSeek's influence in cloud computing, AI infrastructure, and enterprise applications is expected to increase significantly. The AI ecosystem is shifting toward greater accessibility, efficiency, and cost optimization, and DeepSeek is at the forefront of this transformation.
