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GPUs and CPUs · Nvidia GeForce GTX

Nvidia GeForce GTX 1060

7owners with an opinion
80%of verdicts positive
4/1positive/negative since 2024
10 yrslongest happy owner
3happy after 3+ years

Praised for reliability and performance.

What owners wrote

Likes itOwned 10 yearsStill going
I used an AMD Radeon 7770 for years, then I upgraded to a GTX 1060, the 7770 became my younger sister's GPU for her PC. It has only recently gave out, after some 14 years of service. Likewise for the 1060, its still going strong. I upgraded to a 3060 round about the time my younger brother decided he wanted a PC so he is now using it without any issues. About 10 years use out of it, plenty more to go. GPUs are pretty damn resilient if you aren't pissing around with them.
Likes itOwned 8 yearsStill going
I got my nvidia 1060 back then during the crypto crysis when the price of AMD GPUs were inflated due to miners. Hesitant and scepital about Linux support, I upgraded the same machine with that GPU since 2016 von Ubuntu 14.04, to 18.04 and now 24.04 - without any nvidia driver issues anytime whatsoever. When I read about issues with nvidias drivers, it is mostly people with rare distro or rolling release ones, with changing kernel versions very frequently and failure to recompile with the binary drivers. For LTS distros you will likely have no issues.
Likes it
I just threw together my old 1060 in a steamOS - adjacent box running cachyOS. It’s great for couch co-op platformers. The GPUs were overkill for most games then and can still run new indie 2d games now.
Neutral
Probably not very good. I selected large spinning hard drives because I could get them at a good price for 2TB each and I wanted to setup a RAID5-like system in ZFS and btrfs (lesson learned, btrfs doesn't actually support this correctly) and I wanted to get at least 10TB with redundancy. I don't know how much each of those SATA disks take up, but probably more than a single Raspberry Pi does. Likewise it has a few case fans in it that may be pointless. I would prefer it never has a heating issue versus saving a few "whurrr" sounds off in a closet somewhere that nobody cares about. It's also powering that Nvidia 1060 that I do almost nothing with on the NAS. I don't even bother to enable the Jellyfin GPU transcoding configuration because I prefer to keep my library encoded in h264 right now anyhow as I have not yet made the leap to a newer codec because the different smart TVs have varying support. And sometimes my daughter has a friend come over that has a weird Amazon tablet thing that only does a subset of things correctly. The 1060 isn't an amazing card really, but it could do some basic Ollama inference if I wanted. I think it has 6GB of memory, which is pretty low, but usable for some small LLMs.
Neutral
I'm laughing because I clicked your link thinking I agreed and had posted similar things and it's my comment. Still on k3s, still love it. My cluster is currently hosting 94 pods across 55 deployments. Using 500m cpu (half a core) average, spiking to 3cores under moderate load, and 25gb ram. Biggest ram hog is Jellyfin (which appears to have a slow leak, and gets restarted when it hits 16gb, although it's currently streaming to 5 family members). The cluster is exclusively recycled old hardware (4 machines), mostly old gaming machines. The most recent is 5 years old, the oldest is nearing 15 years old. The nodes are bare Arch linux installs - which are wonderfully slim, easy to configure, and light on resources. It burns 450Watts on average, which is higher than I'd like, but mostly because I have jellyfin and whisper/willow (self hosted home automation via voice control) as GPU accelerated loads - so I'm running an old nvidia 1060 and 2080. Everything is plain old yaml, I explicitly avoid absolutely anything more complicated (including things like helm and kustomize - with very few exceptions) and it's... wonderful. It's by far the least amount of "dev-ops" I've had to do for self hosting. Things work, it's simple, spinning up new service is a new folder and 3 new yaml files (0-namespace.yaml, 1-deployment.yaml, 2-ingress.yaml) which are just copied and edited each time. Any three machines can go down and the cluster stays up (metalLB is really, really cool - ARP/NDP ann…
Likes itHasn’t owned it
It's amazing how great the 10 series was. The 1060, a budget card, had the same amount of VRAM as the previous generations top tier card (6GB) with the 1080Ti having 11GB ! the 5060 for example has only 8GB, the same as the GTX 1070 and 1080.