Persistent storage for Lambda Cloud is expanding. Filesystems are now available for all regions except Utah, which is coming very soon.
This analysis explores whether a Large Language Model, such as OpenAI's GPT, can assist in helping human readers digest scientific reviews.
Lambda has launched a new Hyperplane server combining the fastest GPU on the market, NVIDIA H100, with the world’s best data center CPU, AMD EPYC 9004.
How to use FlashAttention-2 on Lambda Cloud, including H100 vs A100 benchmark results for training GPT-3-style models using the new model.
On-demand HGX H100 systems with 8x NVIDIA H100 SXM instances are now available on Lambda Cloud for only $2.59/hr/GPU.
Unlock the potential of open-source LLMs by hosting your very own langchain+Falcon+Chroma application. Upload a PDF and engage in Q&A about its contents.
This blog post provides instructions on how to fine tune LLaMA 2 models on Lambda Cloud using a $0.60/hr A10 GPU.
How to build the GPU infrastructure needed to pretrain LLM and Generative AI models from scratch (e.g. GPT-4, LaMDA, LLaMA, BLOOM).
Learn how to fine-tune Falcon LLM 7B/40B on a single GPU with LoRA and quantization, enabling data parallelism for linear scaling across multiple GPUs.
Lambda Demos streamlines the process of hosting your own machine learning demos. Host a Gradio app using your existing repository URL in just a few clicks.
Tired of waiting in a queue to try out Stable Diffusion or another ML app? Lambda GPU Cloud’s Demos feature makes it easy to host your own ML apps.
Lambda Cloud has deployed a fleet of NVIDIA H100 Tensor Core GPUs, making it one of the FIRST to market with general-availability, on-demand H100 GPUs. The high-performance GPUs enable faster training times, better model accuracy, and increased productivity.
For the third consecutive year, Lambda has been chosen as NVIDIA Partner Network (NPN) Solution Integration Partner of the Year.
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