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Website | golem.network |
Pricing URL | - |
Details $ | - |
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Website | digitalocean.com |
Pricing URL | Official DigitalOcean Pricing |
Details $ | paid $5.0 / Monthly (1 GB / 1 vCPU / 25 GB) |
Based on our record, DigitalOcean should be more popular than Golem. It has been mentiond 62 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Golem, develop Docker applications and make use of their (now) very limited features. It's best suited for heavy calculations, or calculations you can split up between dozens or hundreds of nodes through sharding. A fork is working on bringing GPU & internet access, but it can be hard otherwise. They have a GLM Rewards Program that - generously rewards up to 20 users per month under regular conditions. Source: over 1 year ago
For compute, my experience has been the best with Akash, then Golem, then I have been unsuccessful with any other project as of yet. Both of these supports Docker images, but Golem is painfully thorough with securing providers with sandboxing in both networking and workloads. This makes Akash easier to use right now when wanting to run something more advanced such as a custom backend or a Minecraft Server. Source: over 1 year ago
If you want to run scientific calculations or similar, I highly recommend Golem. Right now, its best applications are ones that can scale by sharding, to use parallel computations. Think doing 100 similar small jobs on 100 computers instead of 1 large job on 1 computer. One average CPU-month costs $3.17, or you can rent 100 CPU-hours for $0.44. Notable examples are blender_cuda which runs on a GPU, and the... Source: over 1 year ago
If you're not using your computer, you can consider letting other people use it! Come checkout golem, a distributed super computer similar to Folding@Home, but for all kinds of computation not just protein research. You even earn some money and it's really easy to get started. Source: over 2 years ago
This is where the math of VPS on demand for testing vs home starts to matter. OR higher buy in but lower ongoing is SBC boards. Raspberry pi, turingpi, ION whatever boards from nvidia. All have higher cost, more limited abilities (in some ways) but FOR SURE are way lower power/heat than traditional low initial cost/higher ongoing. It's a common issue. Getting yourself a NAS or ESOS or SAN or whatever as an always... Source: over 2 years ago
Hey folks, it's been a while since I posted here! I've been quite busy with life, especially working at a few companies such as Hyperbeam, DigitalOcean, and a few others. That being said though, let's get into the real meat of today's topic. Why is C/C++'s development such a mess? - Source: dev.to / 9 months ago
Or create a VPS with linode.com, chunkhost.com, or digitalocean.com. Source: 10 months ago
Linode (Mumbai) and DigitalOcean (Bangalore) each have a single DC in India, and Vultr has 3 (Mumbai, Bangalore, Delhi). Source: 10 months ago
Or you could look at hosts like https://snakecrafthosting.comwhich is managed aka you upload your code and click start or if you want a whole server something like https://digitalocean.com. Source: 11 months ago
In the same way that https://njal.la/ is different from https://digitalocean.com. Source: 12 months ago
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