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Lambda Face Recognition API

Lambda is a free, open source face API which offers both face detection and face recognition.

Lambda Face Recognition API Reviews and details

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  • Lambda Face Recognition API Landing page
    Landing page //
    2023-08-02

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Lambda Face Recognition API and what they use it for.
  • Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups
    How does this compare to https://lambdalabs.com/. - Source: Hacker News / 9 months ago
  • Potato-ish PC Looking for suggestions - Local, Colab, Online?
    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: 10 months ago
  • Something like FaceApp to help me visualize myself as a woman?
    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: 12 months ago
  • Ask HN: Who is hiring? (May 2023)
    Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring for multiple engineering positions and more. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambda’s mission is to create a world... - Source: Hacker News / about 1 year ago
  • Best online cloud GPU provider for 32gb vram to finetune 13B?
    LambdaLabs has been good to me so far. Cheap pricing, easy spin up, and no bullshit about applying to use a GPU. Source: about 1 year ago
  • [R] CodeAlpaca - Instruction following model to generate code
    I just pay out of pocket and rent gpus from - https://lambdalabs.com , have though about getting the hardware but too much maintenance that way. Source: about 1 year ago
  • Does anyone know anything about renting GPU to train models or generate images?
    I rented the GPU from https://lambdalabs.com/. Source: about 1 year ago
  • Bard (Chat-Gpt Competitor from Google) officially announced
    Károly Zsolnai-Fehér would not agree with you https://lambdalabs.com/ did you get your alt account to like your comment or is there just a lack of people interested in scientific journals on this sub???????????. Eh?????? Source: about 1 year ago
  • Cheapest CUDA-Compatible Cloud GPU Options in 2023
    You're on a budget? No problem. Your best option is probably Lambdalabs, which offers access to a cloud instance with an A100 GPU and 40 GB VRAM for $1.10 per hour. - Source: dev.to / about 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring for Principal SWE, Senior SWE, Engineering Manager and Data Center Systems Engineer. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions.... - Source: Hacker News / over 1 year ago
  • AMD Graphics Cards Are the Better Value at Every Price Point
    If only occasionally, why not consider a cloud solution? GCP Compute Engine VMs are fairly cheap, managed jobs with nvidia cards on AI Platform/Vertex AI as well, or hosted jobs with google colab. Other services like Paperspace and Lambda Labs exist as well. Source: over 1 year ago
  • [P] Serverless Jupyter Labs with GPUs, CPUs and high-speed storage
    I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ).  There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: over 1 year ago
  • Nvidia RTX 4090 has lower tensor core performance than 4080 16GB
    If the 4080 has indeed faster tensor cores, it should show up in Deep Learning benchmarks (at fixed batch-size, of course). I'd accept benchmarks from any sites that are knowledgable in this domain like https://lambdalabs.com, https://www.servethehome.com or https://www.pugetsystems.com/. Source: over 1 year ago
  • The VFX guys at Corridor Crew freak out over Stable Diffusion
    I used https://lambdalabs.com and they have A100 40GB's available for $1.10 /hr. Source: over 1 year ago
  • Ask HN: Who is hiring? (September 2022)
    Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring Senior Fullstack, Frontend, Backend and a Distributed Storage engineer. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambda’s... - Source: Hacker News / over 1 year ago
  • Local score 3.5k usd
    Start a business like lambdalabs.com/. Source: almost 2 years ago
  • Which cloud GPU provider should I choose as an engineer in a startup? Or should we build our on-premise server?
    I was looking on LambdaLabs cloud GPU and Cirrascale. Source: about 2 years ago
  • [D] Which external Nvidia GPU should I buy for machine learning applications?
    Alternatively, Lambda Labs seems to be recommended here a lot - you can take a look at that. Though, IMO, what they offer is a bit overpriced compared to what you can put together yourself (if you have the time and are willing to learn about how to put the hardware together - it's not at all hard. Some have said it's easier than assembling Lego). Source: about 2 years ago
  • [D] Are there ways to get GPU computing powers for my own research?
    I’m going to be brutally honest, you are not in a good position to be purchasing GPUs. Unless you have a large budget (10k+ USD), I would suggest sticking to CPU training. If you do have access to those kinds of funds, the best option is to contact a commercial reseller (e.g., Lambda Labs) and purchase a machine with something like an A5000. Source: about 2 years ago
  • Ask HN: Who is hiring? (February 2022)
    Lambda | Full-Time | Software Engineers | Remote US, UK, Canada, AUS, NZ | https://lambdalabs.com/ We are looking for talented software engineers to join our team. Fullstack, backend/system engineers + Designers. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambda’s mission is to create a world where... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (December 2021)
    Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambda’s mission is to create a world where access to computation is as effortless and ubiquitous as electricity. Learn more about our team here: https://lambdalabs.com/careers Click below for a full list of open positions. https://boards.greenhouse.io/lambda. - Source: Hacker News / over 2 years ago

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This is an informative page about Lambda Face Recognition API. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.