在这之前,英伟达官方网站消息显示,DeepSeek R1 671b版本已作为英伟达NIM(Nvidia Inference Microservices)微服务的预览版在build.nvidia.com平台上发布。
【英伟达:DeepSeek R1现正式上线英伟达NIM平台】财联社1月31日电,据英伟达网站,DeepSeek R1 671b已作为英伟达NIM微服务预览版在build.nvidia.com上发布。DeepSeek R1 NIM微服务在单个英伟达HGX H200系统上每秒最多可处理3872个token。开发人员可以对API进行测试和实验,预计该API不久将作为英伟达AI Enterprise软件平台的一...
英伟达今日宣布,其DeepSeek-R1模型现已在NVIDIANIM微服务预览版中提供,开发人员可通过build.nvidia.com进行测试和试验。该微服务在单个NVIDIA HGX H200系统上每秒可处理多达3,872 tokens,显著提升了AI模型的运行效率。 DeepSeek-R1 NIM微服务支持行业标准API,简化了AI模型的部署流程。企业可在其首选的加速计算基础设施上...
NVIDIA推出全新人工智能平台 | NVIDIA将拥有高达6710亿参数的DeepSeek-R1模型引入了专属平台——位于build.nvidia . com上的NVIDIA NIM微服务,推理性能方面,DeepSeek-R1模型表现堪称卓越。仅需单台NVIDIA HGX H200服务器,就能实现每秒最多3,872个Token的推理吞吐量。在处理海量信息时,模型能够以极快的速度给出精准的...
如何白嫖Deepseek R1满血版 | 目前Deepseek除了官方渠道,由于其是开源模型,可商用,本地部署受硬件资源限制普通人只能部署7B的模型。而目前英业达、亚马逊、微软云等已经上线满血版的DeepseekR1模型671B的全量模型。以英伟达平台为例:1.登陆链接去注册一个账号2.创建一个r1微服务,获得key...
DeepSeek R1isn’t your average chatbot framework—it’s a powerhouse. But to unlock its full potential, your system needs to be up to the task. At a minimum, you’ll need 8 GB of RAM, but for smoother performance, aim for 16 GB. DeepSeek R1’s advanced vectorization processes are me...
and more than half plan to use them in the next year. The recent release of the DeepSeek-R1 models brings state-of-the-art reasoning capabilities to the open source community. Organizations can build agentic applications using these reasoning models to execute complex tasks with...
Spanning language, speech, animation, content generation, and vision capabilities, run NVIDIA NIM microservices on your RTX AI PC. RUN ANYWHERE deepseek-aideepseek-r1-distill-llama-8b Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance. distillati...
Online project hosting using Git. Includes source-code browser, in-line editing, wikis, and ticketing. Free for public open-source code. Commercial closed source ...
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