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Another proof point for AMD inference economics: Wafer reports running Kimi K3 on AMD MI355X GPUs with better performance per dollar than NVIDIA B300.

The key detail is memory. Kimi K3 requires more than 1.5TB of VRAM. With 288GB per GPU the MI355X can fit the model within one 8 GPU node.

This is exactly why Sciforium built its production inference stack on AMD. We own & operate our AMD GPUs US data centers & serving layer. Our stack is already optimized so customers get a simple API rather than an AMD engineering project.

By removing the cloud GPU rental layer & provider markup we gain greater control over capacity cost & performance.

Try Sciforium On Demand & receive 25% off plus $200 in promotional credits with code AAI2026, sign up at https://console.sciforium.com/

Another proof point for AMD inference economics: Wafer reports running Kimi K3 on AMD MI355X GPUs with better performance per dollar than NVIDIA B300.

The important detail is memory. Kimi K3 requires more than 1.5TB of VRAM. With 288GB per GPU the MI355X can fit the model within one 8 GPU node.

This is exactly why Sciforium built its production inference stack on AMD.

We own & operate our AMD GPUs US data centers & serving layer. Our stack is already optimized so customers get a simple API rather than an AMD engineering project.

By removing the cloud GPU rental layer & provider markup we gain greater control over capacity cost & performance.

Try Sciforium On Demand & receive 25% off plus $200 in promotional credits with code AAI2026, sign up at https://console.sciforium.com/