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Lambda
lambda.com ↗Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and more GPUs. Launch on-demand instances or reserve a cluster.
Products
SuperclustersSingle-tenant AI cloud with a shared-nothing architecture, scaling from 4,000 to 165,000+ NVIDIA GPUs, fully validated and supported for production.
1-Click Clusters™Production-ready NVIDIA HGX B200 or H100 clusters from 16 to 2,000+ NVIDIA GPUs. Fully optimized for AI training, fine-tuning, and inference at scale.
InstancesTrain, fine-tune, and serve models on 1 to 8 NVIDIA GPU instances Launch GPU instance.
AI factoriesData centers engineered for fast deployment, density, and cooling to meet modern AI demands and maximize intelligence produced per watt. Reserve your AI campus.
Vera RubinThe next compute platform for frontier AI training and inference. Deployed as a production-ready Lambda Supercluster.
OrchestrationFrom streamlined simplicity to maximum control, find the right orchestration solution for your AI needs. Talk to our team.
Lambda StackLambda Stack is a curated set of software packages widely used in machine learning and deep learning. Each package is tested for compatibility and interoperability across all Lambda systems and architectures, including the latest NVIDIA HGX B200 and H200 SXM GPUs.
Talk to our teamLambda on-demand & private cloud GPUs are designed for AI training & inference and trusted by more than 100,000 AI Developers. Get in touch with our team.
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what is lambda Calculus?
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Does the sudden increase in popularity for Umineko (Because of lambdadelta) mean that lambda made the top 5?
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Within compute, is Lambda increasing in popularity vs EC2 in terms of actual use, these past few years?
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Hospira or Lambda?
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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Il y a t'il des hommes qui vous paraissaient lambda physiquement et qui vous ont attirés avec le temps ?
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Lambda Labs : r/deeplearning
I came across Lambda Labs and their workstations and was quite convinced that their products are a bit overpriced but worth the money. However ...
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GPU cloud pricing: rent NVIDIA H100, H200, and B200
Lambda has a new address: lambda.com. Your path to superintelligence stays ... Clear, straightforward pricing for Instances, 1-Click Clusters™, and Superclusters.
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Lambda - Products, Competitors, Financials, Employees ...
The company provides products such as supercomputers, superclusters, and ... Lambda Readies Open-Source Run:ai Scheduler for Kubernetes Service. Oct 12 ...
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Training GigaFusionNet required more than raw GPU power. Kodiak needed high GPU memory, high inter-node bandwidth, and the ability to stream hundreds of terabytes of sensor data without moving petabytes to a new cloud. Lambda's NVIDIA HGX H100 1-Click Clusters with InfiniBand networking and Lambda's S3 adapter handled every requirement. Kodiak was training in a week.
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Training GigaFusionNet required more than raw GPU power. Kodiak needed high GPU memory, high inter-node bandwidth, and the ability to stream hundreds of terabytes of sensor data without moving petabytes to a new cloud. Lambda's NVIDIA HGX H100 1-Click Clusters with InfiniBand networking and Lambda's S3 adapter handled every requirement. Kodiak was training in a week.
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Training GigaFusionNet required more than raw GPU power. Kodiak needed high GPU memory, high inter-node bandwidth, and the ability to stream hundreds of terabytes of sensor data without moving petabytes to a new cloud. Lambda's NVIDIA HGX H100 1-Click Clusters with InfiniBand networking and Lambda's S3 adapter handled every requirement. Kodiak was training in a week.
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Training GigaFusionNet required more than raw GPU power. Kodiak needed high GPU memory, high inter-node bandwidth, and the ability to stream hundreds of terabytes of sensor data without moving petabytes to a new cloud. Lambda's NVIDIA HGX H100 1-Click Clusters with InfiniBand networking and Lambda's S3 adapter handled every requirement. Kodiak was training in a week.
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Training GigaFusionNet required more than raw GPU power. Kodiak needed high GPU memory, high inter-node bandwidth, and the ability to stream hundreds of terabytes of sensor data without moving petabytes to a new cloud. Lambda's NVIDIA HGX H100 1-Click Clusters with InfiniBand networking and Lambda's S3 adapter handled every requirement. Kodiak was training in a week.
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run openais new gpt 2 text generator code with your gpu ↗
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setting up a mellanox infiniband switch sb7800 36 port edr ↗
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training a yolov5 object detector on lambda cloud ↗
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lambda cloud deploys on demand nvidia hgx h100 with 8x h100 sxm instances ↗
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chat with a pdf using falcon unleashing the power of open source llms ↗
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deep learning is the future of gaming ↗
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getting started with lambda cloud gpu instances ↗
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how to fine tune stable diffusion naruto character edition ↗
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hyperplane 16 infiniband cluster total cost of ownership ↗
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introducing nvidia rtx a6000 gpu instances on lambda cloud ↗
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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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lambda scale nucleus ↗
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lambda wins the nvidia npn award for sip partner of the year ↗
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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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setting up a anaconda environment ↗
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tensorflow 2 0 tutorial 01 image classification basics ↗
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tensorflow 2 0 tutorial 02 transfer learning ↗
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tensorflow 2 0 tutorial 03 saving checkpoints ↗
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tensorflow 2 0 tutorial 04 early stopping ↗
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tensorflow 2 0 tutorial 05 distributed training multi node ↗
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tesla a100 server total cost of ownership ↗
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weights and bias gpu cpu utilization ↗
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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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titan rtx tensorflow benchmarks ↗
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transfer learning with tensorflow tutorial image classification example ↗
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lambda demos simplifying ml demo hosting ↗
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gpt 3 ↗
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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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hugging face lambda whisper fine tuning event ↗
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persistent storage beta ↗
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lambda raises 24 5 to build a gpu cloud and deep learning infrastructure ↗
Tripled the speed of persistent storage ↗
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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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