Yeah, that just depends on what you’re trying to achieve. Depending on what kind of AI workload you have, you can scale it across 4 GPUs. Or it’ll become super slow if it needs to transfer a lot of data between these GPUs. And depending on what kinds of maths is involved, a Pascal generation GPU might be perfectly fine, or it’ll lack support for some of the operations involved. So yes, of course you can build that rig. Whether it’s going to be useful in your scenario is a different question. But I’d argue, if you need 96GB of VRAM for more than just the sake of it, you should be able to tell… I’ve seen people discuss these rigs with several P40 or similar, on Reddit and in some forums and Github discussions of the software involved. You might just have to do some research and find out if your AI inference framework and the model does well on specific hardware.
Yeah, that just depends on what you’re trying to achieve. Depending on what kind of AI workload you have, you can scale it across 4 GPUs. Or it’ll become super slow if it needs to transfer a lot of data between these GPUs. And depending on what kinds of maths is involved, a Pascal generation GPU might be perfectly fine, or it’ll lack support for some of the operations involved. So yes, of course you can build that rig. Whether it’s going to be useful in your scenario is a different question. But I’d argue, if you need 96GB of VRAM for more than just the sake of it, you should be able to tell… I’ve seen people discuss these rigs with several P40 or similar, on Reddit and in some forums and Github discussions of the software involved. You might just have to do some research and find out if your AI inference framework and the model does well on specific hardware.