3 articles
Kimi K3 open weights need roughly 1.5TB of VRAM, which does not fit on a B200 node. That forces a real hardware decision: B300, two B200 nodes, or AMD's MI355X. Here is the head-to-head with verified specs, the Wafer benchmark, and what it costs per token.
ZLUDA 6 lets AMD GPUs run unmodified CUDA applications, adding PhysX support, Blender textures, and better Windows tooling. A practical look at what ZLUDA is, how it compares to ROCm and HIP as a CUDA alternative, and why its post-funding, hobby-project status matters if you are evaluating it for real workloads.
Open weights are free to download, but inference is not free to run. Here is the honest break-even math on when self-hosting GLM-5.2, DeepSeek V4, or Llama beats paying per-token API prices - GPU rental and ownership costs, real throughput, utilization, the crossover in tokens per month, and the hidden ops bill nobody budgets for.
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