Gudance on setting up llama cpp on NVIDIA Spark?

<!-- SC_OFF --><div class="md"><p>Running Llama-3-70B with long contexts and hitting HBM limits constantly. 128K context burns approx 40GB just for KV cache — half the H100 gone

<!-- SC_OFF --><div class="md"><p>I’ve been testing LM Studio on my RTX 5070 Ti (16GB) and Ryzen 9800X3D, running Unsloth Qwen3.5 35B (UD Q4_K_XL).</p> <p>Initially, I thought LM

<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like

<!-- SC_OFF --><div class="md"><p><a

<!-- SC_OFF --><div class="md"><p>Hi everyone, so I have been playing around with the software side and an RTX 3090, but I'm wondering what hardware I could experiment with to get

<!-- SC_OFF --><div class="md"><p>I could not find good data points on what speed one could get with a single 5090 and enough DDR4 RAM. </p> <p>My system: AMD EPYC 7532 32core

<!-- SC_OFF --><div class="md"><p>Hi, I'm a newbie with about 64GB RAM, 2TB space, an older but not terrible processor (i7/i9) and no GPUs. If I just wanted to get started with

<!-- SC_OFF --><div class="md"><p>Actually I'm not someone with particularly deep technical knowledge but I want to build a product, and instead of paying Claude a lot of money,