I bought a datacenter GPU that doesn't fit in a normal motherboard, macgyvered the fan with jumper wires, and now I'm running a model that ties with Claude Sonnet 4.6 on benchmarks, all for £200.
I don’t get the negative comments here. This is the c/LocalLLaMa community, and this post is about adding 16 GB of VRAM for fairly cheap. This feels perfectly useful and appropriate.
For reference, the GPU used is the Tesla V100 SXM2 16GB. The author adds that:
The V100 SXM2 is not the only option. The P40 gives you 24GB for similar money, though it is slower and has no Tensor Cores. The V100 32GB variant costs more but still undercuts any consumer GPU with that much VRAM.
AI haters ventured outside of the Fuck_AI community and the outside world confused, bewildered and angered them.
Think of cavemen emerging from stasis, seeing airplanes up in the sky, then throwing rocks up at the terrifying sky demons, and the falling stones hitting people on the ground.
I don’t get the negative comments here. This is the c/LocalLLaMa community, and this post is about adding 16 GB of VRAM for fairly cheap. This feels perfectly useful and appropriate.
For reference, the GPU used is the Tesla V100 SXM2 16GB. The author adds that:
AI haters ventured outside of the Fuck_AI community and the outside world confused, bewildered and angered them.
Think of cavemen emerging from stasis, seeing airplanes up in the sky, then throwing rocks up at the terrifying sky demons, and the falling stones hitting people on the ground.
The digital equivalent is happening here.