# How a $70 mining GPU unlocks 80GB VRAM — the ASU hack

> ASU researchers found a Falcon security processor stack overflow on Nvidia's CMP 170HX, turning a $70 e-waste mining card into a GPU with 94 TFLOPS and 80GB HBM2e memory.

_Source: 快科技 · 2026-08-03 · 4 min read · Verified against primary sources_

Canonical: https://iyu.app/e/nvidia-cmp-170hx-crack

## The 60-second version

ASU researchers exploited a Falcon security processor DMA overflow to bypass OTP fuses on Nvidia's CMP 170HX mining card, unlocking it into a near-full A100 with 80GB VRAM and 94 TFLOPS.

**Key points**

- The CMP 170HX shares the exact GA100 die and HBM2e package as the $15,000+ A100, but was crippled by physical OTP fuses at the factory.
- The exploit chain: DMA buffer overflow → hijack Falcon security processor → rewrite privilege mask → unlock SM rate, memory, and PCIe registers.
- Unlocked results: 0.39 → 94 TFLOPS FP32, 8GB → 80GB VRAM, PCIe Gen1 x1 → Gen2 x16.
- Market price surged from $70 to $1,500 overnight. Risks: no long-term stability data, water cooling needed, and scam risk from sellers.
- The paper is less than 2 months old. Third-party independent verification of the benchmarks is still pending.

**Verdict.** A brilliant hardware hack that turns e-waste into a powerhouse, but caveat emptor — long-term stability, cooling requirements, and market scams make this a tinkerer's project, not a production AI solution.

## Full explainer


### The find — A mining card that's really an A100 in disguise

Here's a story that sounds too good to be true: a cryptocurrency mining card that sold for $70 on the used market turns out to be a neutered A100 data center GPU — and researchers just figured out how to undo the shackles.

The CMP 170HX was Nvidia's dedicated mining card from 2021, built during the crypto boom. It uses the exact same GA100 die and HBM2e memory package as the A100 — the flagship data center GPU that normally costs $15,000+.

Nvidia crippled it with OTP (one-time programmable) fuses at the factory — physically burned connections that limit memory, compute, and PCIe bandwidth. The idea was: once it's a miner, it stays a miner. No second life in AI.

After Ethereum switched to proof-of-stake in 2022, millions of dollars worth of these cards hit the scrap heap. The price dropped to 300–500 RMB ($40–70). Then Arizona State University published a paper that changed everything.


### The exploit — A stack overflow in the Falcon security coprocessor

The ASU team didn't try to physically break the OTP fuses — that's impossible. Instead, they found a vulnerability in the Falcon security coprocessor, the microcontroller that enforces the GPU's hardware restrictions.

Three design flaws lined up perfectly:

- **1. Predictable stack canary.** The Falcon's stack canary (a security value that detects buffer overflows) was stored in writable memory with no read-only mapping. The toolchain defaulted to putting it in a writable data segment.
- **2. Invisible DMA overflow.** The signature verification routine pulls data from the host via DMA, with the transfer length controlled by an attacker-supplied struct field. No bounds check. Because DMA transfers look like register writes in the code, static analysis tools can't flag them as memory copies.
- **3. Deterministic execution.** The Falcon runs in High-Security mode with no interrupts, no concurrency, no dynamic allocation. The researchers built a cycle-accurate offline simulator that perfectly replays the memory layout at overflow time — no trial and error needed.

The attack chain: overflow the DMA buffer → hijack the program counter in HS mode → rewrite the privilege level mask (PLM) → turn the read-only fuse override registers into writable ones → modify the SM rate, memory config, and PCIe speed registers through PCIe BAR0.


### The unlock — 94 TFLOPS, 80GB VRAM, and a market panic

The results are staggering for a card that was heading to the trash bin:

- **Spec:** Before (locked)
- **FP32 compute:** 0.39 TFLOPS
- **FP64 compute:** 0.2 TFLOPS
- **VRAM:** 8–10 GB
- **PCIe:** Gen1 x1 (~250 MB/s)
- **Tensor Core perf:** Crippled

> **⚡** The researchers report a 31× AI performance boost (from 0.39 to 94 TFLOPS FP32 is actually ~241× — the discrepancy may come from different measurement precision or benchmark baselines).

The unlocked card works with standard Nvidia drivers on both Windows and Linux. The GA100 die natively supports the full driver stack — Nvidia never removed that, they just hid it behind the OTP wall.

Different batches use different HBM vendors. The 16Gb-die version (labeled 10GB stock) can unlock to 40GB or 80GB; the 8Gb-die version (labeled 8GB stock) tops out at 64GB. Full address verification — writing unique hash values to every address and reading them back — confirms all mapped memory is real.

- **94** — TFLOPS FP32
(unlocked)
- **80** — GB HBM2e
(max unlocked)
- **~241×** — Compute gain
(0.39 → 94 TFLOPS)
- **$1500** — Current gray
market price


### The market — From $70 e-waste to $1500 scalper bait

The market reacted instantly. Chinese second-hand platforms saw the card jump from 300–500 RMB to 3000–4000 RMB. International markets hit $1500. YouTube creators are already showing the unlocked card running ComfyUI for AI image and video generation.

The card's original launch price was $5,000. After the crypto crash, it was worth $70. Now it's back to $1,500 — still a screaming deal compared to a $15,000+ A100 or $30,000+ H100, if you can find one.


### Wait, before you buy — Real risks you need to know

The paper has been public for less than two months. That means:

- **⚠️ No long-term stability data.** Nobody has stress-tested an unlocked card for weeks of continuous AI workloads. Temperature, memory error rates, and Falcon firmware stability under load are all unknown outside the lab.
- **⚠️ You'll need a water block.** The original CMP 170HX uses a datacenter-style forced-air shroud designed for server racks. In a desktop case, you'll likely need to retrofit a water cooling solution.
- **⚠️ Scam risk is real.** Some sellers may be advertising unlocked or unlockable cards but shipping dead stock. The crack is a software exploit, not a guarantee — and not every card may respond identically.

> **⚑ Caveat:** The unlock benchmarks are the researchers' own measurements. Third-party independent verification is still pending. The paper's actual compute-per-second figures imply a ~241× gain, while the authors state 31× — the gap suggests different measurement methodologies.

If you're a hobbyist with a water cooling setup who loves tinkering, this is a fascinating project. If you're looking for a reliable inference card for a production AI workload, wait for more data.


### The bottom line — Hardware locks can be broken, but not always safely

The ASU crack is a genuine technical achievement — exploiting a security coprocessor's DMA overflow to bypass physical fuses is the kind of hack that belongs in a hardware security hall of fame.

But it also exposes a deeper truth: when Nvidia physically cripples a chip that's identical to its $15,000 sibling, that's not a security boundary — it's an artificial market segmentation. The Falcon coprocessor wasn't designed to withstand a motivated attacker; it was designed to keep honest customers from doing something clever with their e-waste.

For the rest of us, the unlocked CMP 170HX is a tempting bargain. Just remember: the first rule of bargain hardware is that there's always a hidden cost.


## Primary sources

- [快科技 / 新浪财经](https://finance.sina.com.cn/tech/roll/2026-08-03/doc-inikzqsf4659769.shtml)

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