Domestic AI Hardware Reaches New Milestone

In a significant step forward for China's semiconductor industry, Moore Threads and Silicon Flow have successfully optimized the trillion-parameter DeepSeek V3 671B AI model to run efficiently on domestic MTT S5000 GPUs. The achievement demonstrates China's growing capabilities in high-performance computing hardware.

Performance That Competes Globally

The optimized solution achieves remarkable speeds:

• Prefill throughput: Over 4,000 tokens/second
• Decode throughput: More than 1,000 tokens/second

These figures put the domestic hardware within striking distance of international alternatives like NVIDIA's A100/H100 GPUs that previously dominated this space.

The FP8 Advantage

The breakthrough came through extensive optimization of FP8 (8-bit floating point) technology. This low-precision format offers several benefits:

• Significantly boosts computational throughput
• Reduces memory requirements
• Lowers power consumption
• Maintains acceptable accuracy levels

The partners worked across the entire technology stack - from drivers and operator libraries to inference engines - to maximize the MTT S5000's FP8 capabilities.

Implications for Industry Adoption

This development matters because:

1. Provides a viable domestic alternative for critical sectors like finance and government that require secure computing solutions
2. Demonstrates China's ability to support cutting-edge AI workloads without foreign hardware dependencies
3. Shows how specialized optimization can compensate for raw performance gaps with international products

The achievement represents more than just technical progress—it signals China's growing independence in AI infrastructure development.

Key Points:

• Domestic GPUs can now efficiently run trillion-parameter AI models
• FP8 optimization delivers performance competitive with leading international solutions
• Solution reduces reliance on foreign chips for high-end AI workloads
• Marks important progress toward technological self-sufficiency