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Nebius、代币工厂和人工智能推理:开源人工智能的新时代?

2025/11/05 21:48

探索 Nebius 的令牌工厂如何通过为开源模型提供企业级可扩展性和成本效率来彻底改变人工智能推理。

Nebius、代币工厂和人工智能推理:开源人工智能的新时代?

Nebius, Token Factory, and AI Inference: A New Era of Open-Source AI?

Nebius、代币工厂和人工智能推理:开源人工智能的新时代?

The AI landscape is rapidly evolving, with inference costs becoming a major factor. Nebius's Token Factory offers a production inference platform that enables companies to deploy and optimize open-source AI models, potentially revolutionizing the economics of AI inference.

人工智能领域正在迅速发展,推理成本成为一个主要因素。 Nebius 的 Token Factory 提供了一个生产推理平台,使公司能够部署和优化开源人工智能模型,从而可能彻底改变人工智能推理的经济性。

Unveiling Nebius Token Factory

Nebius 代币工厂揭幕

Nebius has launched the Nebius Token Factory, a platform designed to democratize AI inference. By supporting major open-source models like NVIDIA Nemotron, DeepSeek, GPT-OSS by OpenAI, Llama, and Qwen, Token Factory empowers AI companies and enterprises to leverage the flexibility of open models without the complexities of managing them in production.

Nebius 推出了 Nebius Token Factory,这是一个旨在实现人工智能推理民主化的平台。通过支持 NVIDIA Nemotron、DeepSeek、OpenAI 的 GPT-OSS、Llama 和 Qwen 等主要开源模型,Token Factory 使 AI 公司和企业能够利用开放模型的灵活性,而无需在生产中管理它们的复杂性。

Key Features and Benefits

主要特性和优点

Nebius Token Factory stands out due to its ability to deliver sub-second latency, autoscaling throughput, and 99.9% uptime. The platform's architecture is optimized for efficiency, reducing inference costs and latency by up to 70%. Key features include:

Nebius 令牌工厂因其提供亚秒级延迟、自动扩展吞吐量和 99.9% 正常运行时间的能力而脱颖而出。该平台的架构针对效率进行了优化,可将推理成本和延迟降低高达 70%。主要特点包括:

  • Support for major open-source models: Seamlessly deploy and optimize various AI models.
  • Enterprise-grade reliability: Benefit from high availability and consistent performance.
  • Cost-efficiency: Reduce inference costs through optimized infrastructure.
  • Teams and Access Management: Enhance collaboration and ensure compliance with granular access control.

Real-World Impact

现实世界的影响

Early adopters are already seeing significant benefits. Prosus, for example, has achieved up to 26x cost reductions compared to proprietary models. Higgsfield AI relies on Nebius for on-demand and autoscaling inference, enabling faster and more cost-efficient AI in production. Hugging Face is collaborating with Nebius to improve access and scalability for developers.

早期采用者已经看到了显着的好处。例如,与专有型号相比,Prosus 的成本降低了 26 倍。 Higgsfield AI 依靠 Nebius 进行按需和自动扩展推理,从而在生产中实现更快、更经济高效的 AI。 Hugging Face 正在与 Nebius 合作,以改善开发人员的访问和可扩展性。

NVIDIA's Blackwell Platform and InferenceMAX

NVIDIA 的 Blackwell 平台和 InferenceMAX

NVIDIA's Blackwell platform is emerging as a frontrunner in AI inference. According to the InferenceMAX v1 benchmark, a $5 million NVIDIA GB200 NVL72 system could generate about $75 million in token revenue, a 15x return on investment. This platform delivers 10x more throughput per megawatt and cuts cost per million tokens by 15x compared to the previous generation. NVIDIA's full-stack approach optimizes model performance through collaborations with OpenAI, Meta, and DeepSeek AI, along with software tweaks like the TensorRT LLM library.

NVIDIA 的 Blackwell 平台正在成为人工智能推理领域的领跑者。根据 InferenceMAX v1 基准,价值 500 万美元的 NVIDIA GB200 NVL72 系统可产生约 7500 万美元的代币收入,即 15 倍的投资回报率。与上一代相比,该平台每兆瓦的吞吐量提高了 10 倍,每百万代币的成本降低了 15 倍。 NVIDIA 的全栈方法通过与 OpenAI、Meta 和 DeepSeek AI 的协作以及 TensorRT LLM 库等软件调整来优化模型性能。

The Rise of AI Factories

人工智能工厂的崛起

The AI industry is shifting from pilot projects to AI factories. Nebius Token Factory, along with NVIDIA's Blackwell platform, is playing a crucial role in this transformation by providing the infrastructure needed to turn data into tokens, predictions, and business decisions in real-time.

人工智能产业正在从试点项目转向人工智能工厂。 Nebius Token Factory 与 NVIDIA 的 Blackwell 平台一起,通过提供将数据实时转化为代币、预测和业务决策所需的基础设施,在这一转型中发挥着至关重要的作用。

Final Thoughts

最后的想法

With Nebius Token Factory and advancements in platforms like NVIDIA Blackwell, the future of AI inference looks bright. Open-source models are becoming more accessible and cost-effective, empowering organizations to innovate and scale their AI initiatives. Who knows? Maybe one day, AI will be so efficient, it'll write its own blog posts. Until then, we'll keep you updated!

凭借 Nebius 令牌工厂和 NVIDIA Blackwell 等平台的进步,人工智能推理的未来看起来一片光明。开源模型变得越来越容易获取和具有成本效益,使组织能够创新和扩展其人工智能计划。谁知道?也许有一天,人工智能会如此高效,它会写自己的博客文章。在那之前,我们会及时向您通报最新情况!

原文来源:seekingalpha

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