Hardware reads
Articles we picked for multi-GPU, high-VRAM local-AI builds, newest first. Each links to the original and carries a short note from us on why it matters for a build.
November 2026
11 reads-
NZXT C1000 Platinum 2026 PSU Review
A 1000W unit with one 12V-2x6 plug and four 8-pin PCIe leads, so a second card can run off the 8-pins. Tight for two full-power 3090-class cards once transients hit: power-limit them, or step up to a 1600W unit.
See PSU, Corsair AX1600i
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NVIDIA releases Statement on GeForce RTX 5090: GB202 Allocations / 32GB GDDR7 Active Supply
NVIDIA says the RTX 5090 is not discontinued, but AI integrators are buying cards for blower-style servers and partners expect tight stock for about a quarter. That keeps a used RTX 3090 the sane way to buy 24GB today.
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Introducing the ROCm Handbooks
A new entry point to the ROCm docs. If you are weighing AMD cards for a local AI box, start here before buying.
See GPU
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AMD EPYC 9006 Results Are Here and AMD Delivers a Knockout Part Deux
Venice moves EPYC to a new SP7 socket with 96 PCIe 6.0 lanes in single-socket form, fewer than SP5's 128. For home builds the takeaway is the older SP3 and SP5 platforms: more lanes per dollar, and more of them reaching the used market.
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Intel Xeon 600 Workstation Content Creation Review
Intel's new workstation platform has 128 PCIe lanes, enough for several x16 GPUs from one socket. Puget tests creative apps, not AI, but the 24- and 32-core chips are the value picks if you want a new Intel host over used EPYC.
See CPU, Motherboard
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ROCm InferaSim: Cut LLM Serving Trial Costs and Deploy the Best Configuration
Simulating LLM serving setups before buying or deploying is exactly the question a multi-GPU builder faces: how many cards, which split.
See GPU
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Supermicro Super AI Station Review: The AI Server That Doubles as a Workstation
A vendor-built answer to the same problem we build by hand: a quiet desk-side AI box. Worth comparing its layout and cooling to a DIY open frame.
See Case/Frame, Motherboard
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Online Quantization: Smooth Path from One Checkpoint to Any Desired Serving Scenario
Quantizing at load time from one checkpoint means fewer model copies on disk and more freedom to fit the VRAM budget of each box.
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From Operator to Kernel: Profile DeepSeek-V4-Flash in Primus with madengine
A walk-through of profiling a large model from operator down to kernel on AMD. Deep end of the pool, but good for tracking down slow layers.
See GPU
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Quark Mixed-Precision Quantization for Wan2.2 Video Generation on AMD Instinct GPUs
Mixed-precision quantization trades a little quality for a lot of memory. Relevant whenever a model is just too big for the VRAM you have.
See GPU
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Performance Profiling on AMD GPUs - Part 7: AI/PyTorch® Edition
Part 7 of a profiling series, focused on PyTorch. Handy if you run ROCm at home and want to see where a model actually spends its GPU time.
See GPU
October 2026
2 reads-
Fixing the Vertical GPU Problem | HAVN HS 360 Case Review, Thermals, & Benchmarks
Vertical GPU mounts and riser airflow are a real problem once you stack cards. A consumer case, but the thermal lessons carry over to multi-GPU builds.
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Announcing Humming: Fast, Flexible Kernels for Quantized Inference
A new vLLM kernel library for low-bit weights on NVIDIA cards from Turing onward. Smaller weights let a bigger model fit in the same VRAM; Humming aims to make them fast as well as small. No AMD support yet.
September 2026
2 reads-
NVIDIA Has GPUs If You Have Coin
Context for why used high-VRAM cards stay attractive: new NVIDIA supply goes to whoever pays most. Read it before ruling out a used RTX 3090.
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Best Professional GPUs For Topaz’s Starlight Models
A video-upscaling GPU test, not an LLM one, but VRAM matters there too. Useful as a cross-check on how pro cards compare per GB of memory.
See GPU