Anthropic forms internal chip team to design custom AI processors for its Claude AI models.
Anthropic confirmed that the move is aimed at improving Claude's speed, efficiency, and scalability. The company will adopt a multi-chip strategy, co-designing hardware and AI models, while continuing to rely on chips from companies such as Amazon Web Services (AWS), Google, NVIDIA, and AMD. This move also aligns with a broader industry trend, following reports that Anthropic is in talks with Samsung for potential manufacturing cooperation, and OpenAI's launch of its own custom AI chip earlier this year.
Source:X@DeItaone · Source Link
Disclaimer: This content reflects only the author’s personal views and does not constitute any investment or financial advice. If you discover any content that violates regulations,Click to Report
24H Trending
-
1
ULAB Coin: A Shared Ticker for Multiple Projects - An Analysis of the Current Status and Future Prospects of Unilab, Unchained Lab, and LayerBank
-
2
Hyperliquid, Polymarket, and Kalshi: A Competitive Analysis of Prediction Markets and Perpetual Contracts
-
3
Mitsubishi UBE Cement reportedly plans Tokyo listing in December
-
4
China's stock market saw new A-share accounts drop 7% in July to 2.66 million, with margin trading also slowing, amid a global tech sell-off
-
5
Pakistan's Fintech Abhi expects to launch IPO of its microlender in early September
-
6
Elon Musk reposted TheRabbitHole's tweet stating that SpaceX has launched more than all other companies combined.
-
7
Mysterious Trader (Wallet 0xff84) Opens $102.6M 40x BTC Short on Hyperliquid, Depositing $2.44M USDC with Liquidation Price at $64,888.97
-
8
MONA Coin Value Analysis: MonaCoin's Features, Market Performance, and Investment Considerations
-
9
Mainland Chinese investors net bought HK$62.9 billion in Hong Kong stocks through Stock Connect in July, the second consecutive month of net buying, to avoid the volatility in AI-related stocks.
-
10
Ronald Keung, head of Asia internet research at Goldman Sachs, expects competition among Chinese AI developers to intensify in balancing performance and cost.
Markets Today
Recommended Reading





