OpenAI首次脱离英伟达，发布基于其他芯片模型

电子工程专辑02-21

近日，OpenAI正式发布其首款搭载Cerebras Systems芯片的AI模型GPT-5.3-Codex-Spark，标志着OpenAI首次正式脱离英伟达GPU生态，转向Cerebras高性能AI芯片替代方案。该模型是OpenAI最新自动编程软件Codex的轻量化加速版本，专攻编程辅助任务，旨在与Alphabet旗下及Anthropic等公司在AI编程助手市场展开竞争。编程效率大幅提升根据...

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chips","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"3NVD.UK":0.6,"ANV":0.6,"NVD3.UK":0.6,"2NVD.UK":0.6,"NVD":0.6,"NVDS":0.6,"NVD2.UK":0.6,"DIPS":0.6,"NVDX":0.6,"NVII":0.6,"NVDQ":0.6,"NVDD":0.6,"SNVD.UK":0.6,"NVDB":0.6,"NVDG":0.6,"NVDW":0.6,"NVIW.SI":0.6,"NVDS.UK":0.6,"NVDA":1.91,"NVDU":0.6,"NVDY":0.6},"content_text":"近日，OpenAI正式发布其首款搭载Cerebras Systems芯片的AI模型GPT-5.3-Codex-Spark，标志着OpenAI首次正式脱离英伟达GPU生态，转向Cerebras高性能AI芯片替代方案。该模型是OpenAI最新自动编程软件Codex的轻量化加速版本，专攻编程辅助任务，旨在与Alphabet旗下及Anthropic等公司在AI编程助手市场展开竞争。编程效率大幅提升根据OpenAI官方发布的公告，GPT-5.3-Codex-Spark模型能协助软件工程师快速完成编辑特定程序码段落、执行测试等任务。与传统AI编程工具不同，该模型支持用户随时中断执行流程，或指令模型执行其他编码相关任务，无需等待冗长的运算完成。此外，该模型擅长进行精确编辑、修订计划和回答有关代码库的上下文问题，是可视化新布局、优化样式和测试新界面变化的快速途径。\"用户可以随时调整任务方向，而无需等待模型完成当前任务，\"OpenAI在官方博客中写道。这一功能设计旨在解决传统AI编程助手在实际开发环境中\"卡顿\"的问题，让编程辅助工具真正融入开发工作流。OpenAI首次脱离英伟达生态OpenAI在今年1月与Cerebras Systems签署了一项价值逾100亿美元的协议，采用Cerebras硬件以加速其AI模型的回应速度。这一合作标志着OpenAI首次正式脱离英伟达GPU生态，转向Cerebras这一高性能AI芯片替代方案。\"这是OpenAI在AI硬件战略上的重大转向，\"一位半导体行业分析师表示，\"随着AI模型规模持续扩大，对计算资源的需求已经超过了英伟达GPU的供应能力，OpenAI需要寻求更多硬件选择以确保其模型训练和推理的效率。\"OpenAI与Cerebras的合作是AI行业硬件生态多元化的重要一步。长期以来，英伟达GPU几乎垄断了AI训练和推理市场，而OpenAI此次选择Cerebras，表明AI公司正在积极寻求多元化硬件供应商，以确保供应链安全和性能优化。\"这不是OpenAI第一次考虑Cerebras，\"一位知情人士透露，\"早在2024年，OpenAI就曾与Cerebras进行过初步接触，但由于Cerebras的产能限制，当时未能达成协议。此次签约，表明Cerebras的产能已能满足OpenAI的需求。\"Cerebras芯片优势在哪？Cerebras Systems是一家专注于高性能AI芯片的初创公司，其CS-3系统采用单芯片设计，拥有超过2.6万亿个晶体管，是目前世界上最大的单芯片。通过将海量计算单元、内存与带宽集成于单一巨型芯片，消除了传统硬件上制约推理速度的瓶颈。与英伟达GPU相比，Cerebras芯片在AI推理速度和能效方面具有显著优势，它具有最大的片上内存，支持每秒数千tokens的高速推理，且架构可扩展至数千个系统，支持万亿参数模型的训练和推理。\"在AI推理阶段，Cerebras芯片能够将响应速度提升30%-50%，同时降低能耗，\"Cerebras Systems首席执行官Andrew Feldman在采访中表示，\"这正是OpenAI选择与我们合作的关键原因。\"数据显示，GPT-5.3-Codex-Spark在Cerebras的Wafer Scale Engine芯片上运行，速度超过1000 tokens/s，实现了近乎即时的反馈，极大提升了开发效率。市场竞争：AI编程助手赛道加速随着GPT-5.3-Codex-Spark的发布，AI编程助手市场竞争将更加激烈。Alphabet旗下的GitHub Copilot、Anthropic的Claude编程助手等产品已占据市场先发优势，OpenAI此次通过Cerebras芯片加速的GPT-5.3-Codex-Spark，有望在编程辅助工具领域占据一席之地。据OpenAI官方数据，GPT-5.3-Codex-Spark的推理速度比基于英伟达GPU的同类模型快35%，而能效比提升25%。在实际测试中，该模型在处理复杂编程任务时，平均响应时间从原来的25秒缩短至16秒。\"我们相信，AI硬件的多元化将推动整个行业的创新，\"OpenAI首席执行官Sam Altman在一份声明中表示，\"通过与Cerebras的合作，我们正在为用户提供更快、更高效的AI编程体验，同时为AI生态的健康发展做出贡献。\"据悉，OpenAI计划分阶段将Cerebras的低延迟能力整合至推理基础设施中，并逐步扩展至各类工作负载，预计这部分计算能力将在2028年之前分批次陆续上线。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; 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