2026-10-11 17:10 UTC

Tom's Hardware reports that software modifications can restore 64GB of disabled VRAM on inexpensive NVIDIA CMP 170HX mining cards, potentially making repurposed hardware economically useful for memory-heavy local AI inference.

state: resolvedheat: lowuncertainty: lownovelscott: mediumlocal-inference gpu-memory inference-economicsNVIDIA
Surfaced 2026-09-19T06:23:02Z — priced heat=high at reprice: The multi-card build is drawing breakout attention, and the spread sensor now warrants high heat even though the supplied discussion adds no new validation. Practical experimentation is corroborated; reliable full-capacity inference and reproducible bargain pricing remain unproven.

What is this?

Tom's Hardware reports that a software tool ('CMP Unlocker') can restore memory and compute disabled on NVIDIA's CMP 170HX crypto-mining cards — GA100-based cut-down A100s — raising usable VRAM from 8GB to 64GB (or 10GB to 80GB, less reliably) and partially restoring SM throughput and PCIe capability. The exploit reprograms PMU registers via patched drivers rather than fusing hardware off permanently, so no permanent mod is needed, though the cards remain constrained (PCIe 1.0/2.0 x4 hard limits, defective memory stacks on lower bins). Community adoption has been rapid — multi-card builds, a Level1Techs full-memory tester, an lttrlabs teardown of the capacitor/soldering companion mod — but NVIDIA deliberately disabled these stacks, and unlocked cards carry binning, stability, and support risks. Seller prices have reportedly surged from roughly $100–250 to $1,000–3,000 as the tool spread, substantially eroding the original bargain premise.

Why it matters to Scott

Bears directly on Scott's active local-inference stack (dev:project.gamepc / hardware-aware local inference): if the unlock stabilizes, a CMP 170HX is a candidate cheap-HBM card for his rig and a concrete counterpoint to the Mac Studio unified-memory path he's evaluating — but the case's own assessment now says prices have repriced to $1,800–3,000 and full-memory reliability is unvalidated, so this is a decision input for hardware-aware inference planning, not a purchase signal. His wikis hold no prior position on mining-card unlocks, so this is new material rather than a repeat or a convergence with a held claim.
dev:project.gamepcdev:concept.hardware-aware-local-inferencedev:technology.cudaradar:cmp-170hx-unlock-verificationradar:concept.local-inferenceradar:concept.inference-economicsradar:apple-m5-ultra-local-inference
queries asked of Scott's wikis
  • local inference memory economics — cheap high-VRAM GPU strategies vs Mac Studio / unified memory for LLM serving
  • used/re-purposed datacenter hardware for local model serving — HBM2e, A100-class, mining cards
  • GPU firmware restrictions, disabled SMs/memory stacks, hardware binary unlocks and vendor lockout patterns
  • vLLM / ExLlama configurations for multi-GPU and heterogeneous local inference setups
  • AI hardware price shocks and arbitrage — when scarcity repricing kills cheap-hardware windows
  • Scott's own rig — current GPU/VRAM inventory and any notes on buying used compute

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

09-03 17:42⭐ origin directly observedNvidia crypto mining GPUs hacked to restore locked-away VRAM
CoopaTroopa on hacker news
—
09-07 11:10first on r/LocalLLaMA · published · +89.5hQwen Next on 24 + 64 GB VRAM?
JustinPooDough
—
09-03 17:42amplified on hacker newshn.story.49553784
CoopaTroopa
peak 2 · 5 comments · 1% of case engagement
09-07 11:10amplified on r/LocalLLaMAreddit.post.1w9p7vy
JustinPooDough
peak 15 · 41 comments · 3% of case engagement
09-11 09:41amplified on r/LocalLLaMAreddit.post.1wdbj0e
rumboll
peak 1 · 56 comments · 3% of case engagement
09-14 17:35amplified on r/LocalLLaMAreddit.post.1wga5hj
_Boffin_
peak 8 · 126 comments · 7% of case engagement
09-15 22:56amplified on r/LocalLLaMAreddit.post.1whfox6
Feralzi
peak 3 · 26 comments · 1% of case engagement
09-18 14:04amplified on r/LocalLLaMA 👑reddit.post.1wjr59t
segmond
peak 1009 · 394 comments · 71% of case engagement
3 more amplifiers in ainews.case_chain
09-03 18:21our radar first saw it · +0.7hdiscovery anchor: hn.story.49553784—
09-19 06:23reached heat=high · +372.7h · via ledger——

Evidence (9) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hn ⭐Nvidia crypto mining GPUs hacked to restore locked-away VRAMCoopaTroopa25
🟠 redditQwen Next on 24 + 64 GB VRAM?
LocalLLaMA
JustinPooDough1241
🟠 redditCMP-170Hx x 4 or Mac Studio M5u 256gb?
LocalLLaMA
rumboll056
🟠 redditThe Nvidia CMP 170HX -- 8GB -> 64GB ~ 1.49 TB/s
LocalLLaMA
_Boffin_3126
🟠 redditAnyone here actually unlocked a CMP 170HX 10GB? What's your experience with the 40GB vs 80GB memory unlock?
LocalLLaMA
Feralzi026
🟠 reddit768gb vram for less than the price of one RTX 6000
LocalLLaMA
segmond1019396
🟠 redditHas anyone bought a CMP 170HX 8GB and can point me to the seller?
LocalLLaMA
TimTams553645
🟠 redditReached 1.89 TB/s memory bandwidth overclocking the CMP 170hx
LocalLLaMA
Feralzi6058
🟠 redditMy foray into local ai. Two BC-250 ex mining apus running Qwen3.6-35B-A3B Q4_K_M at 60 tok/s with 64k context
LocalLLaMA
Ok-Breadfruit-35237732

Interpretation history

Decision trace