Lead Developer Advocate
Machine learning infrastructure that just works
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.
Lead Developer Advocate
This article compares two popular GPUs—the NVIDIA A10 and A100—for model inference and discusses the option of using multi-GPU instances for larger models.
SDXL 1.0 initially takes 8-10 seconds for a 1024x1024px image on A100 GPU. Learn how to reduce this to just 1.92 seconds on the same hardware.
Llama 2 rivals GPT-3.5 in quality and powers ChatGPT. Chainlit helps build ChatGPT-like interfaces. This guide shows creating such interfaces with Llama 2.
Build a ChatGPT-style chatbot with open-source Llama 2 and LangChain in a Python notebook.
Deploy Stable Diffusion XL 1.0 for free to generate images from text prompts and invoke Stable Diffusion with the Baseten Python client.
Prompt engineering, embeddings, vector databases, and fine-tuning are ways to adapt Large Language Models (LLMs) to run on your data for your use case
This guide helps you navigate NVIDIA’s datacenter GPU lineup and map it to your model serving needs.
So what are reliable metrics for comparing GPUs across architectures and tiers? We’ll consider core count, FLOPS, VRAM, and TDP.
