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Dedicated vs shared GPU: what changes when you share
How vGPU, MIG, time-slicing and shared hosts affect memory, consistency, security and debugging, and when sharing is fine. Guides
DeepSeek R1 hardware requirements: GPUs and memory for R1 and V3
About 671 GB of FP8 weights plus KV cache. See which 8-GPU servers fit R1 and V3, and the GPUs for distilled models. Guides
How much VRAM do I need for an LLM?
Quick answers for 7B, 14B, 32B, 70B and 405B models at BF16, FP8 and 4-bit , plus KV cache by context and the GPU that fits. Guides
How to choose a GPU server for AI
A framework for memory, bandwidth, precision, interconnect, CPU and storage, software and billing, plus a checklist.
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