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Tianshu Zhixin Turns Profitable—But Not From Chips

Tianshu Zhixin Turns Profitable—But Not From Chips
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🐯Read original on 虎嗅
#gpu#inference-chips#ai-infrastructure天数智芯通用gputianshu-zhixinzhikaitiangainvidiabytedance

💡Revenue nearly tripled, but a stock investment—not chip sales—created Tianshu Zhixin’s first profit.

⚡ 30-Second TL;DR

What Changed

Revenue reached RMB 946 million, up 191.6%, with general-purpose GPU products contributing 96.9% of total revenue.

Why It Matters

The results highlight the commercial challenge facing domestic GPU vendors: demand is rising rapidly, but inference hardware commoditization and intense competition can compress margins. AI infrastructure buyers should evaluate total cost, software compatibility, and sustained performance rather than relying on vendor revenue growth or headline profitability.

What To Do Next

Benchmark Tianshu Zhixin's Zhikai inference chips on your actual model-serving workloads, measuring throughput, latency, power, and software-porting effort against Nvidia GPUs before considering deployment.

Who should care:Enterprise & Security Teams

Key Points

  • Revenue reached RMB 946 million, up 191.6%, with general-purpose GPU products contributing 96.9% of total revenue.
  • Inference-chip revenue surged 651.8% to RMB 654 million, overtaking training chips as the company's main growth engine.
  • Gross margin collapsed to 17.2% because growth was concentrated in lower-priced inference chips; training-chip gross margin was 64.5%, versus only 3% for inference chips.
  • Reported profit was primarily supported by a RMB 7.6 billion fair-value gain from a listed-company equity investment, not chip operations.
  • Excluding the investment gain, the company would have posted an operating loss of approximately RMB 654 million.
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