Hey @LambdaAPI team, My initial tests with your system were great, and time/friction to my first running GPU was minimal. I am new to Lambda Labs (big thanks for the credits) and thus far had only tested your API with my system for compatibility. Today, I went to switch over to your system full-time, but the cards I had evaluated are no longer available in any region? Are you facing a sudden surge in demand, or is this common for usage with Lambda Labs? Please pardon my ignorance; I did not see any relevant documentation (aside from noting that not all cards will be available in all regions). I was looking to utilize H200s specifically, but it seems as though the overall availability has become quite restricted, and my estimated costs effectively 4xd I do not see any method to subscribe to a card, nor waitlist etc. Thank you in advance for the continued support, I look forward to building with Lambda behind me. @stephenbalaban
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Post by Parker Drouillard (@sayittothecurls)
Hey @LambdaAPI team, My initial tests with your system were great, and time/friction to my first running GPU was minimal. I am new to Lambda Labs (big thanks for the credits) and thus far had only tested your API with my system for compatibility. Today, I went to switch over to your system full-time, but the cards I had evaluated are no longer available in any region? Are you facing a sudden surge in demand, or is this common for usage with Lambda Labs? Please pardon my ignorance; I did not
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GPU cloud pricing: rent NVIDIA H100, H200, and B200
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introduction multi gpu multi node distributed training nccl 2 0 ↗
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lambda deep learning curriculum ↗
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lambda echelon a turn key gpu cluster for your ml team ↗
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lambdas machine learning infrastructure playbook ↗
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nvidia ngc tutorial run pytorch docker container using nvidia container toolkit on ubuntu ↗
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fine tuning metas llama 2 on lambda gpu cloud ↗
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best gpu tensorflow 2080 ti vs v100 vs titan v vs 1080 ti benchmark ↗
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deep learning hardware deep dive rtx 30xx ↗
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how to classify images with tensorflow a step by step tutorial ↗
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install tensorflow and pytorch on rtx 30 series ↗
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lambda selected as 2021 nvidia partner network solutions integration partner of the year ↗
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lambda selected as 2023 nvidia partner network solution integration partner of the year ↗
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lambda teams up with razer to launch the worlds most powerful laptop for deep learning ↗
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stylegan 3 ↗
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lambda raises 44m to build worlds best cloud for training ai ↗
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lambda cloud accounts now support teams ↗
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persistent storage beta ↗
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lambda raises 24 5 to build a gpu cloud and deep learning infrastructure ↗
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voltron data case study why ml teams using reserved cloud clusters ↗
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nvidia a100 gpu deep learning benchmarks and architectural overview ↗
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image segmentation i beginners demo 2 ↗
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2080 ti deep learning benchmarks ↗
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8 v100 server on prem vs p3 instance tco analysis cost comparison ↗
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bert multi gpu implementation using tensorflow and horovod with code ↗
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careers ↗
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cutting the cost of high performance deep learning ↗
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downloading data sets lambda cloud ↗
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how to implement ssd object detection in tensorflow ↗
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neurips ticket contest ↗
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on prem gpu training infrastructure slides ↗
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reproduce fast ai diux imagenet18 with titan rtx dawn bench ↗
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resnet9 train to 94 cifar10 accuracy in 100 seconds ↗
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rtx 6000 gpu cloud instances ↗
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set up a tensorflow gpu docker container using lambda stack dockerfile ↗
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text generation char rnn data preparation and tensorflow implementation ↗
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titan v deep learning benchmarks ↗
Brand colors & fonts
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