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Lambda Face Recognition APINo Lambda Face Recognition API videos yet. You could help us improve this page by suggesting one.
Based on our record, Lambda Face Recognition API should be more popular than Redmine. 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.
Iโm using redmine. It comes with a learning curve, but has almost endless possibilities. Source: over 2 years ago
Redmine. Its free and has nice features like LDAP authentication, import emails as tickets, etc. Source: over 3 years ago
Planner could work and integrate well with the O365 suite. We use Redmine. Itโs low cost/free and is great for small or medium size projects. Source: about 4 years ago
Redmine - Free, Open Source, Self-hosted. Provides issue management, source control integration, wiki, forums etc. - Source: dev.to / about 4 years ago
No love for Redmine ? https://redmine.org * Ticket tracker. - Source: Hacker News / over 4 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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