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ConocoPhillips (COP.N): Production in the 48 contiguous U.S. states (Lower 48) is expected to increase sequentially in the fourth quarter.

2026-11-06

ConocoPhillips (COP.N): Production in the 48 contiguous U.S. states (Lower 48) is expected to increase sequentially in the fourth quarter.

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2026-11-05

Swedish central bank governor Töden: We know that monthly inflation data can fluctuate.

Swedish central bank governor Töden: We know that monthly inflation data can fluctuate.
2026-11-05

On November 3, 2026, the rental price of NVIDIA B200 was $6.53 per GPU per hour; H100 remained at $2.96; and A100 remained unchanged at $1.58. Overall, the new generation B200 continued to fluctuate at high levels, suggesting that demand for chip ite

On November 3, 2026, the rental price of NVIDIA B200 was $6.53 per GPU per hour; H100 remained at $2.96; and A100 remained unchanged at $1.58. Overall, the new generation B200 continued to fluctuate at high levels, suggesting that demand for chip iterations continues to support high prices. The previous generation's main model, H100, remained strong, and the oldest version, A100, saw little price change this year, but no significant decline, indicating that overall demand remains robust. -------- 1. The GPU rental price index mainly tracks the actual rental quotes for NVIDIA A100, H100, and B200 GPUs from cloud service providers, data centers, and the private rental market each day. 2. A100, H100, and B200 are NVIDIA's three generations of chip products (GPUs), from oldest to newest. Generally, newer generation GPUs offer better performance and are better suited for large-scale, complex models, and their rental prices tend to be higher. 3. Due to the high price and rapid updates of GPUs, many companies choose to lease chips from cloud service providers and data centers to save on investment costs. A rise in related indices usually indicates a greater shortage of GPUs and stronger demand; a decline suggests increased supply or cooling demand. By observing price trends and comparing the price difference between new and old GPUs, investors can understand the current state of AI computing power.
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