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The Lambda Deep Learning Blog

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Unleashing the power of Transformers with NVIDIA Transformer Engine

Unleashing the power of Transformers with NVIDIA Transformer Engine

November 21, 2023

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Lambda Cloud Clusters to support NVIDIA H200 Tensor Core GPUs

Lambda Cloud Clusters to support NVIDIA H200 Tensor Core GPUs

November 13, 2023

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Lambda Cloud Clusters now available with NVIDIA GH200 Grace Hopper Superchip

Lambda Cloud Clusters now available with NVIDIA GH200 Grace Hopper Superchip

November 13, 2023

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DeepChat 3-Step Training At Scale: NVIDIA H100 SXM5 vs A100

DeepChat 3-Step Training At Scale: Lambda’s Instances of NVIDIA H100 SXM5 vs A100 SXM4

October 12, 2023

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Persistent storage for Lambda Cloud expands

Persistent storage for Lambda Cloud is expanding!

September 20, 2023

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AI's role in the scientific peer-review process

Exploring AI's Role in Summarizing Scientific Reviews

September 14, 2023

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Hyperplane Server with NVIDIA H100 and AMD EPYC 9004 series

Lambda Launches New Hyperplane Server with NVIDIA H100 GPUs and AMD EPYC 9004 series CPUs

September 07, 2023

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NVIDIA H100 vs A100 Benchmarks for FlashAttention-2 on Lambda Cloud

How FlashAttention-2 Accelerates LLMs on NVIDIA H100 and A100 GPUs

August 24, 2023

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nvidia-h100-sxm-lambda-cloud

Lambda Cloud Deploys On-Demand NVIDIA HGX H100 with 8x H100 SXM Instances

August 02, 2023

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chat-with-pdf-using-falcon-llm

Chat with a PDF using Falcon: Unleashing the Power of Open-Source LLMs!

July 24, 2023

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how-do-i-fine-tune-llama-2-on-lambda-gpu-cloud

Fine tuning Meta's LLaMA 2 on Lambda GPU Cloud

July 20, 2023

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GPU-infrastructure-considerations-for-LLMs-Generative-AI

Considerations for Large-Scale NVIDIA H100 Cluster Deployments

July 13, 2023

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fine-tuning-falcon-LLM-7B-40B

Fine-tuning Falcon LLM 7B/40B

June 29, 2023

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lambda-demos-add-demo

Lambda Demos: Simplifying ML Demo Hosting

May 24, 2023

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lambda-demos

Host Stable Diffusion with Lambda Demos in just a few clicks!

May 18, 2023

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    Recent Posts

    Reproduce Fast.ai/DIUx imagenet18 with a Titan RTX server

    We reproduce the latest Fast.ai/DIUx's ImageNet result with a single 8 Turing GPUs (Titan RTX) server. It takes 2.36 hours to achieve 93% Top-5 accuracy.

    Published 01/15/2019 by Chuan Li

    ...

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