Nvidia Cmp 170hx

Updated August 15, 2026

Overview

Product sourcing insights & recommendations

25 来源

The NVIDIA CMP 170HX (Crypto Mining Processor) has transitioned from a high-value industrial mining tool to a niche, low-cost solution for memory-bound high-performance computing (HPC). Originally launched at $4,299 in late 2021 Neocities, it was designed as a "Ghost GPU" Youtube — a headless variant of the A100 (GA100) with disabled compute features to prevent it from cannibalizing the enterprise AI market Reddit.

Market Trends & Pricing (2024–2026)

The market for the CMP 170HX has fundamentally shifted due to the Ethereum Merge and the surge in AI demand:

* Massive Depreciation: Current market prices on B2B platforms range from $65 to $455 per unit Alibaba Alibaba, representing a ~90% drop from launch price.

* Secondary Market Utility: Its main value now lies in its 1.49 TB/s HBM2e memory bandwidth, which is ~1.5x faster than consumer cards like the RTX 4090 Neocities. This makes it a target for specialized scientific simulations (CFD/FDTD) and password cracking Neocities.

* Supply Dynamics: As NVIDIA plans heavy cuts to general GPU supply in early 2026 to focus on AI H100/B200 production Reddit Dropreference, used enterprise cards like the CMP 170HX remain one of the few ways to access high memory bandwidth at budget prices.

Core Product Insights

Attribute	Specification	Strategic Implication
Hashrate	164 MH/s (Ethash)	Remains elite for memory-hard algorithms Techpowerup Techpowerup.
Compute	Throttled FP32 (0.39 TFLOPS)	Artificial software locks make it useless for general AI training Neocities.
Interface	Locked to PCIe 1.0 x4	Severe I/O bottleneck; data transfers must be minimized Reddit.
Memory	8 GB HBM2e	High bandwidth but very low capacity for modern LLMs Techpowerup.
Cooling	Passive Server Heatsink	Requires server-grade airflow or aftermarket cooling mods Neocities.

Strategic Recommendation

The CMP 170HX is not recommended for general AI work or gaming. However, for labs or developers running memory-bandwidth-limited simulations or integer-heavy workloads (like Hashcat), it provides near-A100 performance for less than 10% of the cost, provided users can work around its severe PCIe and compute throttling Neocities Arxiv.

Based on the market shift towards AI, here are your next steps:

Sources & References

25 sources cited · Verified industry data & reports

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