Intel CEO responded to the release of CPU by NVIDIA: we are attacking, not defending

NVIDIA announced the first arm based grace processor for AI and HPC servers, which, although expected by many market observers, had a negative impact on AMD and Intel's share prices. NVIDIA is undoubtedly a strong competitor, but Intel does not believe it is a real threat to its data center business.
Intel CEO responded to the release of CPU by NVIDIA: we are attacking, not defending
"We released our Icelake [server processor] last week, and it was very positive," said Pat Gelsinger, Intel's new CEO, in an interview with fortune. "And in Icelake, we have a remarkable expansion in A.I. capabilities. (NVIDIA is) responding to us. It's not that we're responding to them. Obviously, the idea of an AI enhanced CPU is Intel's far-reaching lead. "
Intel CEO responded to the release of CPU by NVIDIA: we are attacking, not defending
"Obviously, what I want to say is that the concept of CPU is proposed by Intel," gersingh added. We are now integrating AI into it and we expect it to be an area of our future attack rather than defense. "
NVIDIA said Grace processors for AI and HPC machines will be more than 10 times faster in AI and selected HPC workloads than today's x86 processors, but will not be available until the beginning of 2023. Such performance expectations are quite scary, but competitors AMD and Intel are not standing still.
Intel's latest Xeon processors integrate AI acceleration technology under the total name dlboost, including avx512_ Vnni (cascade lake and Icelake) and avx512_ Instruction set extensions such as bf16 (Cooper lake only). The two products have proven to be competitive in general (at least according to Intel tests) that can make Intel CPU performance up to 15 times higher than NVIDIA's GPU when dealing with optimization algorithms.
Overall, arm, AMD, Intel, NVIDIA, and a range of other companies are working to improve the performance of their processors (CPU, GPU, IPU, Vpu, etc.) in AI and / or HPC workloads, as the demand for AI and supercomputing is growing rapidly. As a result, the next few years will be more advanced in AI and HPC than in the previous 30 years.