Why is it late? All the hardware links / price tiers / configs / etc basically became invalid once demand spiked + The thread already had everything u needed to put together a 16x GPUs rig if you actually read it Been slowly turning it into a proper fundamentals library instead
@theahmadosman
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AIO Cooler Failure Disrupts Homelab Before Extended Trip
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The AIO cooler in my beefiest homelab node DIED ONE DAY before a multi-week trip
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Claude Code Alternatives for Summer 2026 Development
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It’s about to be Summer 2026 and you’re still using Claude Code? Alternatives – OpenCode – Droid Factory – Codex Cli – Kimi Cli – Pi Friends don’t let friends use Claude Code slop when better software exists
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Qwen 3.5 Architecture: DeltaNet Linear Attention Impact
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Let's dive deeper Do you know that 75% of Qwen 3.5 27B layers are DeltaNet (linear attention) and not softmax / full attention? Because of that, FlashAttention is only able to accelerates ~1/4 of the model
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GPT-5.5 Pro impresses while open source AI future remains viable
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GPT-5.5 Pro is very impressive ngl I make this model take a pass at anything critical because it really can come up with useful feedback (Yes, I am still saying Opensource WILL WIN, these 2 things don't contradict each other)
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LLM Serving Engines: vLLM, SGLang, TensorRT Optimization
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How to go about learning all of this? 1st: Start with the serving engine view – vLLM: PagedAttention, continuous batching, prefix caching, CUDA graphs – SGLang: RadixAttention/prefix reuse, speculative decoding, MoE, structured/agent workloads – TensorRT-LLM: NVIDIA peak
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RTX PRO 6000 Threadripper Pro EPYC Hardware Setup
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If it can go up to 15k it would be an RTX PRO 6000 on a threadripper pro / epyc 9004 mobo+cpu
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Blackwell GPU Architecture CUDA ISA Specifications Comparison
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RTX PRO 6000 / DGX Spark / B200 / B300 are all Blackwell They are not the same CUDA ISA surface though, so they don’t use the same Kernels B200/B300 10.x: sm_100 / sm_103 datacenter Blackwell larger shared memory tcgen05 / tensor-memory-heavy PTX paths HBM +
