What extra crap can I do with my 580?

So apparently 580 8gig's are hard to come by now in the coin mining world. Since they like to buy 500 at a time I can believe that. And with the compute only cards coming out soon that offers some interesting things for the future (like a low power 470, or 470's, tha I can use as compute units in my mac pro :3 ).

For the moment, my 580 doesn't really do all that much. It games, renders video, thats about it. Image editing once in a while. So what can I make it do? I just watched the L1 machine learning intro video and it made me wonder what all I can make a GPU do for me.

So far I know I can do:

Coin Mining
[email protected]
Compute Networks (just in general)
Machine Learning
and Code Compile

I can do that crap. I would go to coin mining and go batshit crazy into Eth or Lite again, but the miners I try to use (CGMiner and BFGMiner) don't seem to see my GPU, nor do they really connect to the pools I use. So thats kinda womp.

Anything I'm not seeing?

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Sell it for a metric fuckton of money?

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what is that in imperial?

:smiley:

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Straight swap for my 1060?

1: Go fuck yourself
2: A kekaton
3: I'm a linux user. AMDGPU has a better driver line than any nvidia card does here. At that the 580 has better performance even in windows.

Over 9000.

Selling it for a huge profit is actually a viable option right now if you can live without the 580 in your PC so noenkens suggestion is not a bad one and I don't think it was meant to insult you.

If you are trying to mine with it, make sure that you have drivers installed that support OpenCL and are using OpenCL based mining software. There are miners that are written for CUDA but they wont work on an AMD card

here are a selection of alternative things that you could use it for otherwise (from wikipedia):

The following are some of the areas where GPUs have been used for general purpose computing:

Computer clusters or a variant of a parallel computing (using GPU cluster technology) for highly calculation-intensive tasks:
High-performance computing (HPC) clusters, often termed supercomputers
including cluster technologies like Message Passing Interface, and single-system image (SSI), distributed computing, and Beowulf
Grid computing (a form of distributed computing) (networking many heterogeneous computers to create a virtual computer architecture)
Load-balancing clusters, sometimes termed a server farm
Physical based simulation and physics engines (usually based on Newtonian physics models)
Conway's Game of Life, cloth simulation, fluid incompressible flow by solution of Euler equations (fluid dynamics)[35] or Navier–Stokes equations[36]
Statistical physics
Ising model
Lattice gauge theory
Segmentation – 2D and 3D
Level set methods
CT reconstruction
Fast Fourier transform
GPU learning – machine learning and data mining computations, e.g., with software BIDMach
k-nearest neighbor algorithm[37]
Fuzzy logic[38]
Tone mapping
Audio signal processing
Audio and sound effects processing, to use a GPU for digital signal processing (DSP)
Analog signal processing
Speech processing
Digital image processing
Video processing[39]
Hardware accelerated video decoding and post-processing
Motion compensation (mo comp)
Inverse discrete cosine transform (iDCT)
Variable-length decoding (VLD), Huffman coding
Inverse quantization (IQ (not to be confused by Intelligence Quotient))
In-loop deblocking
Bitstream processing (CAVLC/CABAC) using special purpose hardware for this task because this is a serial task not suitable for regular GPGPU computation
Deinterlacing
Spatial-temporal deinterlacing
Noise reduction
Edge enhancement
Color correction
Hardware accelerated video encoding and pre-processing
Global illumination – ray tracing, photon mapping, radiosity among others, subsurface scattering
Geometric computing – constructive solid geometry, distance fields, collision detection, transparency computation, shadow generation
Scientific computing
Monte Carlo simulation of light propagation[40]
Weather forecasting
Climate research
Molecular modeling on GPU[41]
Quantum mechanical physics
Astrophysics[42]
Bioinformatics[43][44]
Computational finance
Medical imaging
Clinical decision support system (CDSS)[45]
Computer vision
Digital signal processing / signal processing
Control engineering
Operations research[46][47][48]
Implementations of: the GPU Tabu Search algorithm solving the Resource Constrained Project Scheduling problem is freely available on GitHub;[49] the GPU algorithm solving the Nurse Rerostering problem is freely available on GitHub.[50]
Neural networks
Database operations[51][52][53]
Lattice Boltzmann methods
Cryptography and cryptanalysis
Performance modeling: computationally intensive tasks on GPU[41]
Implementations of: MD6, Advanced Encryption Standard (AES),[54][55] Data Encryption Standard (DES), RSA,[56] elliptic curve cryptography (ECC)
Password cracking[57][58]
Cryptocurrency transactions processing ("mining") (Bitcoin mining)
Electronic design automation[59][60]
Antivirus software[61][62]
Intrusion detection[63][64]

I would have insulted myself, I did basically exactly that with my 470 nitro.

I still have my 470 nitro+ and I'm keeping it too, no way I'm going to be able to find another 8gb graphics card as cheap as I got this one. :triumph:

Dumbass :\
Taking money over good hardware? I have never had a card this good. I probably won't sell it till its min spec in 6 or 8 years.

I sold it for 50,- bucks over retail. I mean, yes I have a lot of stuff and did not need it but if you can survive for a wile without it, it is an even better idea for someone short on cash.

I mean I guess... I just don't have nice things that are up to date. I treasure what I can get. All my pentium 4 machines? I know how P4 ticks so they are stupid valuable to me. Probably not to anyone else but... Meh. Same thing with this 580. Wanted a new card that wasn't going to arbitrarily never get service so I went to the highest available. Its worked out so far.

Business is business. If you choose to sell it because you can profit from it, it is your decision and it is a perfectly fine decision. Remember that the value of anything is what someone is willing to pay for it. the buyer at $50 over MSRP means the card has that value to the buyer. Likewise, If that means keeping it and not taking the $50 in profit then that is part of the value you have for the card.

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