TechCrunch News 02月25日
Serverless cloud platform Koyeb now lets developers spin up Tenstorrent’s AI accelerators
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Tenstorrent是一家RISC-V架构的AI处理器公司,其AI加速器现在可以在Koyeb的serverless云平台上试用。Koyeb专注于为开发者提供云基础设施层面的抽象层,其平台支持Docker容器和多种编程语言,可以自动扩展应用程序以应对不同的流量需求。Koyeb近几个月尤其关注AI应用,并已在其数据中心部署了Tenstorrent的PCIe板卡。开发者可以使用TT-Metalium SDK编写主机和内核程序。Koyeb希望通过此次合作,将自己定位为硬件无关的云平台,并构建围绕Tenstorrent开源编程模型的开发者生态系统,以挑战Nvidia在AI领域的地位。

🚀Tenstorrent的AI处理器基于RISC-V架构,并开发了自己的开源神经网络库TT-NN和底层编程模型TT-Metalium,旨在成为Nvidia GPU和CUDA库的替代方案。

☁️Koyeb是一个serverless云平台,允许开发者通过命令行或Git推送来部署应用程序,支持自动扩展和缩减服务器基础设施,尤其关注低延迟的AI工作负载。

💻Koyeb提供两种类型的实例:TT-N300S(24GB GDDR6, 192MB SRAM, 466 FP8 TFLOPS)和TT-Loudbox(96GB GDDR6, 768MB SRAM, 1,864 FP8 TFLOPS),开发者可以使用TT-Metalium SDK进行开发。

🤝Koyeb希望通过支持Tenstorrent等硬件,成为硬件无关的云平台,并与Tenstorrent合作构建开发者生态系统,共同挑战Nvidia在AI领域的垄断地位。

Just a few weeks after chipmaker Tenstorrent raised nearly $700 million in funding, developers can now try out Tenstorrent’s AI accelerators on Koyeb. Tenstorrent sells AI processors built around the RISC-V instruction set architecture, and has developed its own open-source neural network library, TT-NN, and open-source low-level programming model, TT-Metalium.

Tenstorrent is part of a group of companies trying to build alternatives to Nvidia GPUs and the company’s CUDA library. It competes with Axelera, Etched, Groq and others.

Koyeb was founded by former Scaleway executives, and focuses on developing a serverless cloud platform for developers looking for an abstraction layer at the cloud infrastructure level. It competes with the likes of Fly.io, Railway and Render.

Koyeb lets developers deploy applications across several virtual machines using a command line interface or a git push after integrating with the code repository. It supports Docker containers and many popular languages.

One of Koyeb’s main features is that it can automatically scale an application to hundreds of servers if needed, and when there’s less traffic, it can automatically scale down server infrastructure.

In recent months, Koyeb has been focusing specifically on AI apps. Due to the serverless nature of its platform, it can offer a low-latency experience for AI workloads.

On the hardware front, Koyeb has deployed Tenstorrent’s PCIe boards in its data centers. Developers can access Tenstorrent’s low-level TT-Metalium SDK to write host and kernel programs.

Developers will find two new types of instances in Koyeb’s documentation and admin panels:

  • The TT-N300S instance has 24GB of GDDR6 memory, 192MB of SRAM, and provides up to 466 FP8 TFLOPS. It is paired with 64GB of RAM and 4 vCPUs.
  • The TT-Loudbox instance has four N300S. Developers get 96GB of GDDR6, 768MB of SRAM, and up to 1,864 FP8 TFLOPS. It features 256GB of RAM and 16 vCPUs.

With this release, Koyeb is trying to position itself as a hardware-agnostic cloud platform. “This reminds us of ARM’s debut on the server market with high-performance chips,” Koyeb’s co-founder and CEO Yann Leger told TechCrunch.

“Since we introduced ARM to the market with Scaleway back in the days, offering fully customized servers in 2013-2014, we have the experience of deploying various architectures and operating diverse hardware,” he added.

As for Tenstorrent, the AI chipmaker is looking for partners to build a developer ecosystem around its open-source programming model. It will take a village to offer an alternative to Nvidia’s AI stack.

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Tenstorrent Koyeb AI芯片 RISC-V Serverless
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