In this blog post, we benchmark RTX 4090 to assess its deep learning training performance and compare its performance against RTX 3090, the flagship consumer GPU of the previous Ampere generation.
The Lambda Deep Learning Blog
Voltron Data Case Study: Why ML teams are using Lambda Reserved Cloud Clusters
November 01, 2022
How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda
September 28, 2022
Lambda Cloud Storage is now in open beta: a high speed filesystem for our GPU instances
April 18, 2022
Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning
April 11, 2022
Lambda presents an inference benchmark of Stable Diffusion model with different GPUs and CPUs.
Discuss the performance and scalability of H100 GPUs and the whys for upgrading your ML infrastructure with this upcoming big release from NVIDIA.
NVIDIA® A40 GPUs are now available on Lambda Scalar servers [https://lambdalabs.com/products/scalar]. In this post, we benchmark the A40 with 48 GB of GDDR6 VRAM to assess its training performance using PyTorch and TensorFlow. We then compare it against the NVIDIA V100, RTX 8000, RTX 6000, and RTX 5000.
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.
PyTorch benchmarks of the RTX A6000 and RTX 3090 for convnets and language models - both 32-bit and mix precision performance.
PyTorch & TensorFlow benchmarks of the Tesla A100 and V100 for convnets and language models - both both 32-bit and mix precision performance.
PyTorch and TensorFlow training speeds on models like ResNet-50, SSD, and Tacotron 2. Compare performance of the RTX 3090, 3080, A100, V100, and A6000 .
Benchmarks for ResNet-152, Inception v3, Inception v4, VGG-16, AlexNet, SSD300, and ResNet-50 using the NVIDIA A100 GPU and DGX A100 server.
This blog summarizes our GPU benchmark for training State of the Art (SOTA) deep learning models. We measure each GPU's performance by batch capacity as well as...
Titan V vs. RTX 2080 Ti vs. RTX 2080 vs. Titan RTX vs. Tesla V100 vs. GTX 1080 Ti vs. Titan Xp - TensorFlow benchmarks for neural net training.
RTX 2080 Ti vs. RTX 2080 vs. Titan RTX vs. Tesla V100 vs. Titan V vs. GTX 1080 Ti vs. Titan Xp benchmarks neural net training.
CPU, GPU, and I/O utilization monitoring using tmux, htop, iotop, and nvidia-smi. This stress test is running on a Lambda GPU Cloud [https://lambdalabs.com/service/gpu-cloud] 4x GPU instance.Often times you'll want to put a system through the paces after it's been set up. To stress test