About Us
Real-time Quotes & News
Market Analysis
Trading Platform
Terms
Promotion
FAQ
Contact
繁
简
EN
繁
简
EN
Promotion
FAQ
Contact
Open Account
Contact Us

Wells Fargo lowered its price target for Amazon (AMZN.O) to $329 from $338.

2026-10-12

Wells Fargo lowered its price target for Amazon (AMZN.O) to $329 from $338.

Other News
2026-10-12

Ukrainian President Zelensky: Ukraine cannot hold elections for security reasons.

Ukrainian President Zelensky: Ukraine cannot hold elections for security reasons.
2026-10-12

In his Interconnects newsletter, AI researcher Nathan Lambert wrote that many aspects of the AI training and inference stack are highly verifiable. Training metrics, such as tokens per GPU per second, essentially represent training speed. Inference m

In his Interconnects newsletter, AI researcher Nathan Lambert wrote that many aspects of the AI training and inference stack are highly verifiable. Training metrics, such as tokens per GPU per second, essentially represent training speed. Inference metrics, such as tokens per prompt and FLOPs per token, ultimately reflect the cost per answer. Both are highly optimizable, especially with mature sub-problems and architectural tradeoffs to leverage. I anticipate that within a few years, AI agents will help optimize the entire process end-to-end, bringing our inference capabilities close to the underlying computing power limits of accelerators like GPUs. In recent years, companies have already seen significant gains in inference efficiency—for example, after releasing a model at a certain price, they can save an additional 10–30% in service costs. The entire stack will continue to compound, and I expect the effective cost of model intelligence to decrease almost exponentially in the coming years (possibly faster than recent trends). These low-hanging fruits of efficiency can be harvested within a few years. In the longer term, the co-design of accelerators and models has an even longer timeline, potentially bringing several orders of magnitude more efficiency improvements on flexible GPU platforms. During this period of rapid efficiency improvements, the flexibility of GPUs will be beneficial because the architectural exploration space is crucial and a major lever for automated research. In my view, it is reasonable to predict that pre-training research (at least in terms of architecture and data selection for current models) will be automated within 2–3 years.
Open Account
Demo Account
Contact Us
About Us Real-time Quotes & News Market Analysis
 Trading Platform Market Analysis Promotion Terms Promotion FAQ Contact
Copyright © 2026 Aspire Global Company Limited. All Rights Reserved.
Terms of Use and Privacy
Disclaimer

Disclaimer: ASPIRE is not responsible for the content of any analysis, advice, comment, suggestion, research report or market data in this website and links to third-party websites or resources. All the information mentioned above only represents the view of corresponding author. ASPIRE cannot and does not warrant the accuracy, validity, timeliness or completeness of any such information. You should conduct individual assessments and other proper research to make their investment decisions. The materials and information contained in this website are provided for reference only and do not constitute or form an offer, invitation, solicitation or investment advice or recommendation to acquire or dispose of any investment products or services. The price of any financial instruments described in this website may fall as well as rise. Past performance should not be taken as an indication of future performance. The risk disclosure statements do not purport to disclose or discuss all of the risks and other significant aspects of any financial instruments mentioned in this website. You should make your own appraisal of the risk and should consult to the extent necessary your own legal, tax, financial or other professional advisers in respect of any financial instruments mentioned in this website prior to entering into any transaction.

Risk Warning: Leveraged Precious Metals trading on margin carries significant risks and is not suitable for all investors. Please be sure to make investments within your own tolerance after fully understand the risks involved.

Registered & Business Address: Room 1905-1906, 19/F, Eastern Commercial Centre, 395-399 Hennessy Road, Hong Kong

Aspire Global Company Limited is not available to provide services for the residents of certain jurisdictions such as Afghanistan, the United States of America, the Islamic Republic of Iran, North Korean.