alexbaden

9 ms·

1. 1.▲
   by alexbaden 8mo ago

   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 fit the compute/me
2. 2.▲
   by alexbaden 8mo ago

   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 center roa
3. 3.▲
   by alexbaden 2y ago

   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. All other backends w
4. 4.▲
   by alexbaden 6y ago

   (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 mode for aggregates lik