DeepSeek+风起，金融行业率先加速生产力落地

Core Viewpoint - The article discusses the emergence of the "computing power equality movement," which is reshaping the underlying logic of artificial intelligence development, driven by significant reductions in AI model training costs and the democratization of technology through open-source collaboration [1][2]. Group 1: Computing Power Equality Movement - The training cost of the DeepSeek-V3 model is $5.576 million, which is significantly lower than the hundreds of millions spent by Silicon Valley giants, marking the start of the computing power equality movement [1]. - The CEO of ASML highlighted that as the training cost of AI models decreases, the demand for computing power may paradoxically increase, leading to exponential market expansion [2]. Group 2: Decentralization and Innovation - The article emphasizes a dual spiral of algorithmic innovation and open-source ecosystem collaboration that is dismantling computing power monopolies, allowing innovations to flow from tech giants to SMEs and individuals [4]. - Cloud service providers are restructuring the computing power landscape by creating decentralized networks and optimizing scheduling algorithms, with Chinese cloud providers playing a crucial role in this transformation [5]. Group 3: Challenges in Cloud Services - The article identifies a "trilemma" faced by cloud service providers: achieving model performance, stability, and accessibility simultaneously is nearly impossible, yet some players are approaching this ideal [7]. - Fire Volcano Engine's DeepSeek+ model has achieved high alignment with official models, providing full capabilities without compromising performance [8]. Group 4: Performance Metrics - Fire Volcano Engine's DeepSeek models have demonstrated superior performance in terms of response speed, with inference delays reduced to around 30ms, and achieving a 100% response rate in third-party evaluations [11][12]. - The platform can handle a throughput of 5 million tokens per minute, significantly enhancing the capacity for complex reasoning requests compared to traditional APIs [14]. Group 5: Application in Financial Sector - Fire Volcano Engine has integrated DeepSeek models into over 60 financial institutions, addressing key pain points such as data security, computing power shortages, and innovation constraints [15][16]. - The AI one-stop machine developed by Fire Volcano Engine is tailored for the financial sector, ensuring data security while meeting the high computing demands of the industry [17][19]. Group 6: Full-Stack AI Services - Fire Volcano Engine aims to build a prosperous AI ecosystem by offering a full-stack AI service that includes various models and platforms, facilitating intelligent transformation for enterprises [22][24]. - The integration of multiple capabilities, such as language processing and image generation, allows businesses to enhance efficiency and competitiveness [24][25]. Group 7: Future Outlook - The launch of DeepSeek-R1 serves as a test of cloud providers' technical capabilities, with Fire Volcano Engine demonstrating its leadership in high-demand scenarios [26]. - The company is positioned to lead the AI industry into a new era of ecological prosperity, leveraging its full-stack services to reshape the value ecosystem [26].