NVIDIA CEO: we aren't scared of AMD's next-gen MCM-based Aldebaran GPU

NVIDIA is about to have more competition than it has ever had in the GPU space in the history of computing, with AMD launching the industry's first MCM-based (multi-chip module) GPU that will offer an astounding amount of performance.

But never fear... NVIDIA founder and CEO Jensen Huang isn't scared, he's prepared. Huang was interviewed by The Next Platform recently, with Timothy Prickett Morgan talking to Huang about a few different things but one of the main question was that AMD is "much more competitive" with its MCM-based "Aldebaran" GPU.

Morgan asked: "Obviously, AMD is much more competitive with its "Aldebaran" Instinct MI200 series GPU accelerators than it has ever been. It is really two GPUs, not one, and I reminded everyone that AMD had "pulled a K80" by putting two GPUs on one device, but nonetheless, this GPU has won two exascale-class systems and many more smaller systems. I realize that there will not be new GPU announcements from NVIDIA until next year, based on the cadence, but what is your response to this competition from AMD, and soon, to a lesser extent, from Intel in the GPU compute arena?"

Huang explained: "First of all, we have competition all the time. So it is not true that this is the first so-called NVIDIA killer that has come out. Every year there's an NVIDIA killer and people call it that".

• Read more: AMD Instinct MI250X: Aldebaran MCM GPU, 128GB HBM2e memory, 500W power
• Read more: AMD to unveil next-gen Instinct MI250 HPC GPUs, Milan-X CPUs on Nov 8
• Read more: AMD Instinct MI250X accelerator: MCM GPU, 128GB HBM2e, 500W TDP
• Read more: AMD Aldebaran: AMD's first MCM GPU will launch later this year

Timothy Prickett Morgan also asked: "I mean in the upper echelon HPC and AI supercomputer space. For the past decade and a half, when it comes to GPU-accelerated supercomputers, you have been the whole game".

Huang replied: "Actually, I think this is the absolutely easiest space, and let me tell you why. The reason for that is because an HPL machine needs two things - just two things. HPC centers order everything years in advance, so they have no idea what performance will be for any given device, but here's the equation for you".

You can read the entire interview here.