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AI Hardware Database

Hardware Fields

AI hardware pages should compare VRAM, memory bandwidth, power draw, idle power, cooling, noise, driver support, physical size, connectors, OS compatibility, storage, and replacement availability. VRAM usually sets the model boundary before raw compute does.

Operating Limits

Local AI hardware is infrastructure: it needs stable power, airflow, monitoring, backups, driver control, and a clear data policy. A benchmark score without those constraints is not enough for a reliable local stack.

Source Basis

AI pages should cite model cards, project repositories, release notes, hardware vendor specifications, driver/runtime documentation, and D-Central infrastructure experience. Benchmark claims should preserve model version, quantization, context length, hardware, driver, runtime, and test date.

ASIC miners do not run LLM workloads. D-Central connects AI to its practical infrastructure domain through power, heat, privacy, local compute, maintenance, and hardware operations.

Reviewer

Reviewed by D-Central editorial staff with a Bitcoin infrastructure, privacy, hardware, and operations lens. Sensitive data, private keys, customer records, and production secrets should not be loaded into experimental AI stacks.

Freshness Policy

Model releases, licenses, GPU prices, driver support, inference runtimes, and leaderboard results change quickly. AI pages should preserve the model and hardware version used, identify stale benchmarks, and separate local privacy guidance from performance claims.

16 local AI hardware profiles for matching GPUs, CPUs, memory, power draw, and inference workloads.

Hardware Profiles

RTX 5090

Blackwell flagship: 32 GB GDDR7, 1792 GB/s bandwidth — the first consumer card that comfortably runs 70B models at Q8.

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RTX 4090

Ada Lovelace's consumer flagship: 24 GB, 1 TB/s bandwidth, 82.6 FP16 TFLOPS. Fastest single-card pleb option for inference.

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RTX A4000

Single-slot Ampere workstation card with 16 GB and a blower. The quiet-rack pleb's favourite for dense multi-GPU builds.

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RTX A5000

Dual-slot blower with 24 GB and ECC. The professional's 3090 — same VRAM, quieter, rack-ready.

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RTX 3090

NVIDIA's 2020 flagship remains the pleb sweet spot: 24 GB of GDDR6X for $600–800 used, runs 32B models comfortably at Q4.

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Tesla P40

The budget pleb pick: 24 GB of Pascal-era VRAM for $150–250 used. Slow by 2026 standards but unbeatable $/GB.

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Methodology

Hardware profiles are planning references for local inference. Verify current pricing, driver support, VRAM needs, thermal limits, and power capacity before building or buying a system.

Editorial review and limitations

Reviewed by D-Central's mining hardware and ASIC repair editorial team for practical accuracy, buyer risk, repair context, and operational assumptions. Verify current hardware price, stock, network difficulty, BTC price, power rate, shipping, tax, firmware, and device condition before buying, hosting, repairing, or retiring mining hardware.