Hi everyone,

I’m planning a "Green Crunching" upgrade to a high-TDP (80W) Intel Panther Lake Mini PC in early February. While I know NFS@Home is currently a CPU-only project, I’m very interested to see how the move to the 18A node and the improved integer performance of these new cores handles large-factorization tasks.

I’ll be running 64GB of DDR5-9600 to ensure the lattice sieve has maximum memory bandwidth available per thread. Given the restored hardware capabilities of next-gen iGPUs, is there any renewed discussion regarding a GPU port (OpenCL/Level Zero) for the sieving stage?

I'll be happy to share my completion times and power metrics once the unit is live in Denmark to help benchmark this new silicon for the project.

Answer is no.