還是要買GPU：“內部開發的加速器與市場上可用的 GPU 高度互補”

The chips, infrastructure and energy required to run AI applications has become a giant sinkhole of investment for tech companies, to some degree offsetting gains made in the rush of excitement around the technology.

A Meta spokesperson confirmed the plan to put the updated chip into production in 2024, saying it would work in coordination with the hundreds of thousands of off-the-shelf graphics processing units (GPUs) - the go-to chips for AI - the company was buying.

"We see our internally developed accelerators to be highly complementary to commercially available GPUs in delivering the optimal mix of performance and efficiency on Meta-specific workloads," the spokesperson said in a statement.

Meta CEO Mark Zuckerberg last month said the company planned to have by the end of the year roughly 350,000 flagship "H100" processors from Nvidia, which produces the most sought-after GPUs used for AI. Combined with other suppliers, Meta would accumulate the equivalent compute capacity of 600,000 H100s in total, he said.

 

 

運行 AI 應用所需的芯片、基礎設施和能源已成為科技公司巨大的投資黑洞，在某種程度上抵消了圍繞這項技術興起的熱情帶來的收益。Meta 的一位發言人確認了該公司計劃在 2024 年投產更新後的芯片，他說這將與公司購買的成千上萬的現成圖形處理單元（GPU）——AI 使用的首選芯片——協同工作。該發言人在一份聲明中表示：“我們認為，我們內部開發的加速器與市場上可用的 GPU 高度互補，能夠在 Meta 特定的工作負載上提供最佳的性能和效率混合。”Meta 的首席執行官馬克·紮克伯格上個月表示，公司計劃到今年年底大約擁有 350,000 塊 Nvidia 的旗艦“H100”處理器，Nvidia 生產的這款處理器是用於 AI 最受歡迎的 GPU。結合其他供應商，紮克伯格說，Meta 將總共累積相當於 600,000 塊 H100 的計算能力。