This post discusses the Total Cost of Ownership (TCO) for a variety of Lambda A100 servers and clusters. We first calculate the TCO for individual Hyperplane-A100 servers, and compare the cost with renting a AWS p4d.24xlarge instance which has the similar hardware and software set up. We then walk you through the cost of building and operating A100 clusters.
Introducing the Lambda EchelonLambda Echelon [https://lambdalabs.com/gpu-cluster/echelon] is a GPU cluster designed for AI. It comes with the compute, storage, network, power, and support you need to tackle large scale deep learning tasks. Echelon offers a turn-key solution to faster training, faster hyperparameter search, and faster inference.
In this post we'll walk through using our Total Cost of Ownership (TCO) calculator to examine the cost of a variety of Lambda Hyperplane-16 clusters. We have the option to include 100 Gb/s EDR InfiniBand networking, storage servers, and complete rack-stack-label-cable service. The purpose of this post is to
Scaling out deep learning infrastructure becomes easier with 16 NVIDIA Tesla V100 GPUs and preinstalled frameworks like: TensorFlow, Keras, and PyTorch...
A cost and speed comparison between the Lambda Hyperplane 8 V100 GPU Server and AWS p3 GPU instances. A very similar comparison to the DGX-1.
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