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Packer might be a bit more popular than Replicate.com. We know about 9 links to it since March 2021 and only 8 links to Replicate.com. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you have just upgraded to Ubuntu 22.04, and you suddenly experience either errors when trying to ssh into hosts, or when running ansible or again when running the ansible provisioner building a packer image, this is probably going to be useful for you. - Source: dev.to / almost 4 years ago
I am already using Hashicorp Packer at work and for personal projects and I wanted to test This idea out by wrapping it a single Packer Template file. This reduces the level of maintaining a lot of small scripts, Dockerfiles and configurations and the user can simply trigger a couple of Commands to get a minimalist OS at the end of the process. - Source: dev.to / almost 4 years ago
And while it is a slight increase in complexity, it can be an overall net gain in functionality, configurability and reliability. Much like Packer is far more reliable and practical than manually making VM images sitting in front of a terminal, even though making the initial configuration takes some time. Source: almost 4 years ago
Hashicorp Packer provides a nice wrapper / abstraction over the QEMU in order to boot the image and use it to set it up on first-boot. Instead of writing really long commands in order to boot up the image using QEMU, Packer provided a nice Configuration Template in a more Readable fashion. - Source: dev.to / almost 4 years ago
Packer seemed like the perfect tool for the job. I have never used it before and wanted to get familiar with the tool. It doesn't come with ARM support out of the box, but there are two community projects to fill that niche. - Source: dev.to / over 4 years ago
You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / about 2 months ago
Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / 2 months ago
Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 8 months ago
Before diving into how vision prompting works, letโs first look at where we can put it to the test. In this case, weโll be using several endpoints available on Replicate, which weโve optimized with Pruna to make them cheaper, faster, and more efficient. All of Prunaโs models are available here. - Source: dev.to / 9 months ago
Take Perplexity they didnโt just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 9 months ago
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
fal - Generative media platform for developers. Build the next generation of creativity with fal. Lightning fast inference.
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
OpenRouter - A router for LLMs and other AI models
Rancher - Open Source Platform for Running a Private Container Service
Modal - Your end-to-end stack for cloud compute