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A2Hosting
Lambda Face Recognition APIPros: - Great hosting plans, especially for WordPress - Outstanding client service - Fantastic uptime - Excellent money-back return policy
Cons: - Comparatively pricey
I moved to this company not long ago. Everything works well without issues. Customer service is quick and helpful. Highly recommended.
Really grateful for the prompt and competent solution to a problem that I would never have solved on my own. Being non-technical when things go badly wrong you need someone to come to the rescue and you lot did.
Based on our record, Lambda Face Recognition API should be more popular than A2Hosting. It has been mentiond 27 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.
Either way you'll end up using a host like a2hosting.com (search for "a2hosting comparison" to find other hosts) which let you put up your own web pages because listing domains only on Afternic, Sedo, GoDaddy, etc., still doesn't give you much more visibility than posting them as For Sale on which ever domain name service/registrar you choose, which in itself gives you little visibility except to sharks who cruise... Source: over 2 years ago
The sidebar has plenty of hosts for you to choose from. Additionally, I personally use A2 hosting (https://a2hosting.com) for my hosting needs. They've been a pleasure to work with over the last few years. Source: over 4 years ago
a2hosting is fast, but pretty expensive. Source: almost 5 years ago
Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. Thatโs a realistic... - Source: dev.to / 5 months ago
Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago
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