 | Seasonic 1600w titanium power supply Supermicro X13SAE-F Intel i9-13900k 4x 32GB micron ECC udimms 3x intel 660p 2TB m2 ssd 2x micron 9300 15.36TB u2 ssd (not pictured) 2x RTX 6000 Blackwell max-q Due to lack of pci lanes gpus are running at x8 pci 5.0 I may upgrade to a better cpu to handle both cards at x16 once ddr5 ram prices go down. Would upgrading cpu and increasing ram channels matter really that much? [link] [comments] |
New build
Reddit r/LocalLLaMA / 4/1/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- A Reddit user shared a new LocalLLaMA build featuring a 32GB×4 ECC DDR5 setup, an Intel i9-13900K, multiple SSDs, and two RTX 6000 Blackwell Max-Q GPUs.
- The build notes a PCIe lane limitation that causes both GPUs to run at x8 PCIe 5.0 instead of x16, which raises performance and scaling questions.
- The user is considering upgrading the CPU and increasing RAM channels when DDR5 prices drop to potentially improve overall throughput and GPU handling.
- They ask whether the CPU/RAM-channel changes would meaningfully affect performance in this dual-GPU configuration for local AI workloads.
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