BTC $63,561.59 +0.97%
ETH $1,900.55 +1.18%
BNB $604.01 -0.46%
XRP $1.00 +0.07%
SOL $75.48 +0.36%
TRX $0.3320 +0.16%
DOGE $0.0700 +0.44%
ADA $0.1744 -1.42%
BCH $204.31 +0.29%
LINK $9.56 +2.21%
HYPE $59.37 +3.77%
AAVE $86.69 +0.46%
SUI $0.6767 +0.15%
XLM $0.1580 +0.69%
ZEC $511.16 +5.45%
BTC $63,561.59 +0.97%
ETH $1,900.55 +1.18%
BNB $604.01 -0.46%
XRP $1.00 +0.07%
SOL $75.48 +0.36%
TRX $0.3320 +0.16%
DOGE $0.0700 +0.44%
ADA $0.1744 -1.42%
BCH $204.31 +0.29%
LINK $9.56 +2.21%
HYPE $59.37 +3.77%
AAVE $86.69 +0.46%
SUI $0.6767 +0.15%
XLM $0.1580 +0.69%
ZEC $511.16 +5.45%

300

All
Article
Flash

Bitget launches a $300 million "Archimedes Plan" to provide special funding support for quantitative and asset management institutions

Bitget announced the launch of the "Project Archimedes," establishing a special fund with a total scale of $300 million to provide capital support for quantitative trading firms, asset management institutions, and market makers. The plan includes two sub-projects: a $100 million "Capital Support Program," which focuses on supporting emerging and growth-oriented quantitative institutions that adopt market-neutral strategies; and a $200 million "Interest-Free Lending Program," aimed at institutions with mature strategies and a certain trading scale, which can obtain interest-free funds by meeting corresponding trading volume or position standards to reduce financing costs and expand strategy scale.Bitget CEO Gracy Chen stated that as competition in institutional trading intensifies, capital, execution efficiency, and risk control are becoming important factors in whether strategies can achieve scalability. The Archimedes plan aims to help capable teams expand their strategy scale through capital support, with expectations to support over 50 projects in the next six months. Meanwhile, relying on Bitget's Unified Trading Account (UTA), institutions can use rToken spot positions as collateral for derivatives, allowing them to maintain tokenized stock exposure and contract strategies simultaneously without cross-account transfers, further enhancing capital efficiency.The Archimedes plan will adopt a long-term cooperation framework, implementing rolling access and phased deployment, and will regularly disclose progress such as the number of participating institutions, capital deployment scale, and strategy distribution.

hot_img SemiAnalysis: SpaceX may complete a 10GW data center by 2027, with expected inference revenue reaching $300 billion

Research institution SemiAnalysis released an analysis stating that SpaceX is expected to build approximately 10GW of AI data center capacity by the end of 2027. If 50% of this is used for inference services, with annual revenue exceeding $10 billion per GW, the annualized revenue could reach $300 billion. SpaceX CEO Elon Musk stated in the first earnings report that a "conservative estimate" suggests an additional 6-8GW will be added in 2027, with the actual figure possibly exceeding 10GW.SemiAnalysis's inference simulator shows that when running on the GB300 cluster at current startup cloud prices (about $3/GPU hour), leading model companies like OpenAI and Anthropic could generate annual inference revenue exceeding $10 billion per GW, with annual costs around $12 billion. Microsoft, with full access to OpenAI models and without bearing training costs, can also capture revenue of the same scale. The analysis points out that Microsoft has signed contracts for 10GW of data centers (total value exceeding $300 billion) since 2026, with a 90-day cancellation clause, significantly reducing signing risks.Regarding SpaceX's construction progress, SemiAnalysis believes Musk will significantly shorten the construction cycle by using onsite gas power generation, bypassing large power transformers, parallel construction, and shortening the debugging process. The Southaven plant in Tennessee expanded from 27 turbines (approximately 495MW) in February to 69 turbines (1.7GW) in July, and the "MiniHard" project can be completed in about 5 months with 450-500MW. However, the 10GW target still faces multiple challenges such as land approvals, gas supply, and equipment delivery. This analysis is based on model simulations, and actual implementation still carries uncertainties.
app_icon
ChainCatcher Building the Web3 world with innovations.