📰 ASUS TPU shipments doubled—why has NVIDIA H100 also hit a critical level?
ASUS’s AI chip shipments have surged, with TPU compute capacity reaching nearly 2 million H100 equivalents. This poses a challenge to traditional GPU leader NVIDIA, but the plunge in BTC and ETH could make the market even more nervous.
Why does this news matter?
The main reason behind ASUS’s move is the explosive growth in demand for AI computing power. As custom silicon, TPUs are more efficient for AI training. This means data centers may not just buy NVIDIA GPUs in the future—they may turn to chipmakers for custom chips. This could have a far-reaching impact on the industry landscape, forcing traditional GPU makers to adjust their strategies.
Impact on the market
In the short term, the plunge in BTC and ETH (down 6.16% and 8.11%, respectively) has overshadowed the positive news. In the longer term, however, ASUS’s success could accelerate price cuts for NVIDIA GPUs. If TPUs cost less than GPUs, institutions may switch to cheaper alternatives. A similar event in the past was NVIDIA’s acquisition of ARM, which triggered significant market volatility at the time.
Trading perspective
💡 I think this will have a greater short-term impact on ETH, given that ETH is an ecosystem leader in the AI space. But market sentiment is currently weak, and if BTC can’t hold $73K, funding conditions could undermine the advantage of TPUs. If the Federal Reserve continues to raise interest rates, the increase in demand for computing power will be offset by the cost of capital.
This article was not sponsored by any project, and the author does not hold any of the assets mentioned.
$BTC $ETH #BTC #ETH
⚠️ This does not constitute investment advice. Predictions are for reference only.
ASUS’s AI chip shipments have surged, with TPU compute capacity reaching nearly 2 million H100 equivalents. This poses a challenge to traditional GPU leader NVIDIA, but the plunge in BTC and ETH could make the market even more nervous.
Why does this news matter?
The main reason behind ASUS’s move is the explosive growth in demand for AI computing power. As custom silicon, TPUs are more efficient for AI training. This means data centers may not just buy NVIDIA GPUs in the future—they may turn to chipmakers for custom chips. This could have a far-reaching impact on the industry landscape, forcing traditional GPU makers to adjust their strategies.
Impact on the market
In the short term, the plunge in BTC and ETH (down 6.16% and 8.11%, respectively) has overshadowed the positive news. In the longer term, however, ASUS’s success could accelerate price cuts for NVIDIA GPUs. If TPUs cost less than GPUs, institutions may switch to cheaper alternatives. A similar event in the past was NVIDIA’s acquisition of ARM, which triggered significant market volatility at the time.
Trading perspective
💡 I think this will have a greater short-term impact on ETH, given that ETH is an ecosystem leader in the AI space. But market sentiment is currently weak, and if BTC can’t hold $73K, funding conditions could undermine the advantage of TPUs. If the Federal Reserve continues to raise interest rates, the increase in demand for computing power will be offset by the cost of capital.
This article was not sponsored by any project, and the author does not hold any of the assets mentioned.
$BTC $ETH #BTC #ETH
⚠️ This does not constitute investment advice. Predictions are for reference only.
