I have a B580 too. The cool thing about it is architecturally speaking it is basically a mini version of the Ponte Vecchio (PVC) datacenter GPU. You can run most of the datacenter GPU workloads, albeit scaled down to…
Intel has been designing GPUs manufactured on TSMC nodes across client and datacenter for at least the past 5 years. The client chips are price competitive but not performance competitive with AMD/NVIDIA/Apple. The data…
Arguably the nvidia AI moat is PyTorch and the heavily optimized libraries behind it. The CUDA language and toolchain helped get that effort off the ground, no doubt, but PyTorch is written and optimized for CUDA first.…
(disclaimer: I work for OmniSci) I think this is a good point. On GPUs, SIMT is effectively automatic vectorization, so our focus has been on the memory bandwidth wall (we make use of cuda shared memory in nvidia GPU…
I have a B580 too. The cool thing about it is architecturally speaking it is basically a mini version of the Ponte Vecchio (PVC) datacenter GPU. You can run most of the datacenter GPU workloads, albeit scaled down to…
Intel has been designing GPUs manufactured on TSMC nodes across client and datacenter for at least the past 5 years. The client chips are price competitive but not performance competitive with AMD/NVIDIA/Apple. The data…
Arguably the nvidia AI moat is PyTorch and the heavily optimized libraries behind it. The CUDA language and toolchain helped get that effort off the ground, no doubt, but PyTorch is written and optimized for CUDA first.…
(disclaimer: I work for OmniSci) I think this is a good point. On GPUs, SIMT is effectively automatic vectorization, so our focus has been on the memory bandwidth wall (we make use of cuda shared memory in nvidia GPU…