Serverless cloud platform Koyeb now lets developers spin up Tenstorrent’s AI accelerators

Key Highlights

✅ AI Acceleration on Koyeb – Developers can now leverage Tenstorrent’s PCIe boards for AI workloads.
✅ RISC-V-Based AI Chips – Tenstorrent’s processors use an open-source instruction set, competing with Nvidia.
✅ Low-Latency AI Hosting – Koyeb’s serverless architecture ensures auto-scaling for AI applications.
✅ Support for TT-NN & TT-Metalium – Developers can access Tenstorrent’s open-source AI software stack.
✅ Seamless Deployment – Koyeb allows fast app launches via CLI, Git, and Docker containers.

Why It Matters

🚀 Expanding AI Chip Competition – With Nvidia dominating the market, new players like Tenstorrent offer fresh alternatives.
💡 Optimized AI Workflows – Koyeb’s serverless model enhances efficiency for AI app deployment.
⚖ New Cloud AI Options – Developers now have more choices beyond Nvidia-powered AI infrastructure.

Reactions So Far

🔹 Positive Reactions
✅ Scalable AI Hosting – Koyeb's platform makes AI deployment faster and more efficient.
✅ Open-Source Flexibility – Tenstorrent’s open AI stack appeals to developers avoiding proprietary lock-in.

🔸 Challenges & Concerns
❌ Tough Market Competition – Nvidia still dominates with CUDA and widespread industry adoption.
❌ Developer Adoption Uncertain – Will developers shift from familiar AI tools to Tenstorrent’s ecosystem?

With this move, Koyeb is positioning itself as a go-to platform for AI workloads—but can it compete against established AI cloud giants?