* We recommend a CPU with the highest number of cores as possible. AMD Threadripper or Intel Server \(Xeon\) CPUs are fine.
* We recommend AMD Threadripper as you get a larger number of cores for parallelization compared to Intel.
* Threadripper also has a cost-per-core advantage and a greater number of PCIe lanes compared to the equivalent Intel part. PoH \(Proof of History\) is based on sha256 and Threadripper also supports sha256 hardware instructions.
* We do not currently support OpenCL and therefore do not support AMD GPUs. We have a bounty out for someone to port us to OpenCL. Interested? [Check out our GitHub.](https://github.com/solana-labs/solana)
Here are our recommendations for low, medium, and high end machine specifications:
| | Low end | Medium end | High end | Notes |
| :--- | :--- | :--- | :--- | :--- |
| CPU | AMD Threadripper 1900x | AMD Threadripper 2920x | AMD Threadripper 2950x | Consider a 10Gb-capable motherboard with as many PCIe lanes and m.2 slots as possible. |
| RAM | 16GB | 32GB | 64GB | |
| OS Drive | Samsung 860 Evo 2TB | Samsung 860 Evo 4TB | Samsung 860 Evo 4TB | Or equivalent SSD |
| Accounts Drive\(s\) | None | Samsung 970 Pro 1TB | 2x Samsung 970 Pro 1TB | |
| GPU | 4x Nvidia 1070 or 2x Nvidia 1080 Ti or 2x Nvidia 2070 | 2x Nvidia 2080 Ti | 4x Nvidia 2080 Ti | Any number of cuda-capable GPUs are supported on Linux platforms. |
NAT traversal issues. A cloud-hosted machine works best. **Ensure that IP ports 8000 through 10000 are not blocked for Internet inbound and outbound traffic.**
release binaries are built on Ubuntu 18.04 with [CUDA Toolkit 10.1 update 1](https://developer.nvidia.com/cuda-toolkit-archive). If your machine is using