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According to monitoring by Dongcha Beating, Yifan Zhang, a PhD student at Princeton, revealed that the next-generation flagship V4 of the Chinese AI company DeepSeek will be released next week. In a follow-up post, he listed three architectural components: Sparse Multi-Query Attention (Sparse MQA), Fused MoE Mega Kernel, and Hyper-Connections. Zhang completed his undergraduate studies at Peking University's Yuanpei College and his master's at Tsinghua University's Yao Class. He is currently a Fellow at Princeton AI Lab and previously worked as a research intern in the foundational model team at ByteDance Seed. He is not currently employed by DeepSeek, and the company has not confirmed the release schedule. Each of the three components corresponds to an independent direction in LLM optimization. Sparse MQA introduces sparsity based on multi-query attention to further reduce inference computational power and memory usage in long-context scenarios. The Fused MoE Mega Kernel integrates the routing judgment of MoE with expert matrix multiplication into the same GPU kernel, eliminating significant kernel startup and memory transfer overhead during the inference phase. Hyper-Connections generalize residual connections by replacing single residual addition with multiple learnable weighted pathways.

[DeepSeek V4 to be Released Next Week, Yifan Zhang Reveals Three Architectural Components]According to monitoring by Dongcha Beating, Yifan Zhang, a PhD student at Princeton, revealed that the next-generation flagship V4 of the Chinese AI company DeepSeek will be released next week. In a follow-up post, he listed three architectural components: Sparse Multi-Query Attention (Sparse MQA), Fused MoE Mega Kernel, and Hyper-Connections. Zhang completed his undergraduate studies at Peking University's Yuanpei College and his master's at Tsinghua University's Yao Class. He is currently a Fellow at Princeton AI Lab and previously worked as a research intern in the foundational model team at ByteDance Seed. He is not currently employed by DeepSeek, and the company has not confirmed the release schedule. Each of the three components corresponds to an independent direction in LLM optimization. Sparse MQA introduces sparsity based on multi-query attention to further reduce inference computational power and memory usage in long-context scenarios. The Fused MoE Mega Kernel integrates the routing judgment of MoE with expert matrix multiplication into the same GPU kernel, eliminating significant kernel startup and memory transfer overhead during the inference phase. Hyper-Connections generalize residual connections by replacing single residual addition with multiple learnable weighted pathways.

DeepSeek V4 to be Released Next Week, Yifan Zhang Reveals Three Architectural Components

On April 19, according to HTX data, RAVE has fallen below $1, currently priced at $0.98, with a decline of over 96% in the last 24 hours.

[RAVE Falls Below $1, Drops Over 96% in 24 Hours]On April 19, according to HTX data, RAVE has fallen below $1, currently priced at $0.98, with a decline of over 96% in the last 24 hours.

RAVE Falls Below $1, Drops Over 96% in 24 Hours

On April 19, data from Defillama showed that the KelpDAO hacker borrowed a large amount of ETH from Aave. As a precautionary measure, many whales withdrew their funds from Aave. As a result, Aave's Total Value Locked (TVL) fell to $21.966 billion, a decrease of 16.78% from yesterday's $26.396 billion.

[KelpDAO Incident Triggers Whales to Withdraw from Aave, TVL Drops 16.78% in One Day]On April 19, data from Defillama showed that the KelpDAO hacker borrowed a large amount of ETH from Aave. As a precautionary measure, many whales withdrew their funds from Aave. As a result, Aave's Total Value Locked (TVL) fell to $21.966 billion, a decrease of 16.78% from yesterday's $26.396 billion.

KelpDAO Incident Triggers Whales to Withdraw from Aave, TVL Drops 16.78% in One Day

cfg Surges 20.39% in 24H, Currently at 0.2704 USDT

【cfg currently trades at 0.2704 USDT, up 20.39% in 24h, according to HTX market data.】cfg Surges 20.39% in 24H, Currently at 0.2704 USDT

cfg currently trades at 0.2704 USDT, up 20.39% in 24h, according to HTX market data.

cfg Surges 10.27% in 24H, Currently at 0.2492 USDT

【cfg currently trades at 0.2492 USDT, up 10.27% in 24h, according to HTX market data.】cfg Surges 10.27% in 24H, Currently at 0.2492 USDT

cfg currently trades at 0.2492 USDT, up 10.27% in 24h, according to HTX market data.

HTX data showed that AAVE fell below 100  USDT and is now at 99.924 USDT, with a decrease of 15.07% in 24H.

[AAVE fell below 100  USDT] HTX data showed that AAVE fell below 100  USDT and is now at 99.924 USDT, with a decrease of 15.07% in 24H.

AAVE fell below 100  USDT

HTX data showed that TRX broke through 0.33  USDT and is now at 0.330012 USDT, with a increase of 1.06% in 24H.

[TRX broke through 0.33  USDT] HTX data showed that TRX broke through 0.33  USDT and is now at 0.330012 USDT, with a increase of 1.06% in 24H.

TRX broke through 0.33  USDT

HTX data showed that XMR broke through 350  USDT and is now at 350.02 USDT, with a increase of 0.11% in 24H.

[XMR broke through 350  USDT] HTX data showed that XMR broke through 350  USDT and is now at 350.02 USDT, with a increase of 0.11% in 24H.

XMR broke through 350  USDT

HTX data showed that BTC fell below 76000  USDT and is now at 75937.23 USDT, with a decrease of 2.43% in 24H.

[BTC fell below 76000  USDT] HTX data showed that BTC fell below 76000  USDT and is now at 75937.23 USDT, with a decrease of 2.43% in 24H.

BTC fell below 76000  USDT

According to DefiLlama data, the total lock-up volume on Arbitrum is $2.19 billion, down about 3% in the past three days.

Detail

【Arbitrum’s total lock-up volume is $2.19 billion】According to DefiLlama data, the total lock-up volume on Arbitrum is $2.19 billion, down about 3% in the past three days.

Arbitrum’s total lock-up volume is $2.19 billion

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Arbitrum’s total lock-up volume is $2.19 billion

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

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