Recently, the AI inference chip LIama2 released by Groq has caused heated discussions. Its high operating cost, up to US$11.71 million, has become the focus of the industry. This cost was far higher than expected and uncompetitive compared to Nvidia GPUs, raising questions about its price/performance ratio. Many netizens and analysts have raised concerns about the cost-effectiveness of Groq chips and believe that its commercialization prospects face challenges.
The running cost of the AI inference chip LIama2 launched by Groq is as high as US$11.71 million, which has attracted industry attention. Groq faces cost challenges compared to Nvidia GPU cost performance. Netizens estimate that 568 chips will be purchased to run LIama2, while analysts believe that Groq chips have cost and efficiency challenges. Overall, the AI inference chip launched by Groq has outstanding performance, but the cost problem needs to be solved urgently.Although Groq chips perform well in terms of performance, their high cost is undoubtedly a huge obstacle on the road to commercialization. In the future, Groq needs to seek breakthroughs in cost reduction to gain a foothold in the highly competitive AI chip market. Only by solving the cost problem can we truly give full play to its performance advantages and realize market value.