Exploring next-gen RandomX mining concepts in modern CPU environments

[captainsparrow]

I came across something recently that might be of interest to people following developments around CPU-based mining and the RandomX ecosystem. Posting this strictly as informational — not affiliated with anything mentioned — just sharing something that could be worth discussing or analyzing further.

There’s a site at presenting what is described as a “new mining generation” approach built around the RandomX algorithm. For anyone unfamiliar with the context, RandomX is commonly used in CPU-focused mining environments and is typically associated with software like XMRig, which is known as a high-performance, cross-platform miner supporting multiple algorithms including RandomX, KawPow, CryptoNight, and others. It’s designed to run across CPU and GPU backends and is configurable through JSON-based profiles and runtime APIs.

Because of this background, any new tools or services claiming improvements in this space naturally raise interest — especially when they talk about optimization, performance tuning, or deployment approaches.

From a broader technical perspective, modern RandomX mining stacks usually focus on areas like:

* Memory-intensive workload optimization
* Huge pages and NUMA awareness on Linux systems
* Architecture detection and instruction-level tuning
* Thread/affinity configuration
* Efficient backend usage across CPU/GPU combinations
* Automated configuration or management interfaces

Recent developments in the mining software ecosystem have included better support for newer CPU architectures, expanded platform compatibility, and improvements in runtime efficiency and dataset initialization performance. These kinds of changes show how actively the ecosystem continues to evolve.

That said — and this is important — anyone evaluating third-party mining software or services should take a careful and security-first approach:

* Verify legitimacy and transparency
* Check binaries and hashes
* Prefer open source or auditable code when possible
* Avoid running unknown executables on primary systems
* Test in sandboxed environments
* Compare performance claims against established tools

Crypto-mining tools frequently trigger antivirus alerts because malicious actors sometimes bundle miners in unwanted software, so source verification matters a lot. Even legitimate miners are recommended to be downloaded only from trusted or official repositories.

I’m posting this here simply to see if anyone else has looked into this site or tested whatever approach they’re presenting. If so, it would be interesting to hear technical impressions — benchmarks, architectural differences, deployment model, or anything measurable beyond marketing claims.

Curious to hear thoughts from others following the RandomX space.

[Nexus9090]

This probably belongs in alt-coin

The threads here are for BTC only

[captainsparrow]

my bad... newbie 

[FP91G]

There are algorithms on which processors produce very poor results compared to graphics cards, and vice versa.
I don't even want to discuss ASICs.

Most miners don't like experimenting and use OSs for mining, where all miners are tested. Even if you experiment, malware isn't that dangerous on a mining rig; reconfiguring takes a few minutes.

ASICs run on the RandomX algorithm. I don't know which is more profitable now, but given the cost of modern multi-core processors, motherboards, and memory modules, ASICs seem cheaper to me.