Google Cloud Load Balancing
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AWS Elastic Load Balancing
Azure Traffic Manager
Traefik
Charles Proxy
Citrix NetScaler
Azure Load Balancer
Replicate.com
fal
OpenRouter
Get Together AI
Hugging Face
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As part of 5. HTTPS, I used a Cloud Load Balancer to add a user-friendly domain with HTTPS for my static website by linking it with my managed zone. It's also used to distribute user traffic. - Source: dev.to / about 1 year ago
Unfortunately, the API we created is not suitable for anything but the most basic prototyping. For a real API, we will likely want to use our own domain. This appears to be quite complicated in GCP. We will need a Load Balancer, a serverless NEG and an API Gateway among some other components. See Getting started with HTTP(S) Load Balancing for API Gateway and HTTP(S) Load Balancing for API Gateway. - Source: dev.to / over 3 years ago
Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 3 years ago
In this article, Iโll show you how to configure a global cloud load balancer that serves as both a proxy and a load balancer. This type of load balancer comes with a single IP address that can be accessed from any location on earth and can route a request to the nearest (active!) application instance. - Source: dev.to / almost 4 years ago
Cloud Load Balancing for distribution. - Source: dev.to / about 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 / 3 months ago
Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / 3 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 / 9 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 / 10 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 / 10 months ago
nginx - A high performance free open source web server powering busiest sites on the Internet.
fal - Generative media platform for developers. Build the next generation of creativity with fal. Lightning fast inference.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
OpenRouter - A router for LLMs and other AI models
Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.
Get Together AI - Get Together integrates directly into popular messaging applications to schedule everyone on a group chat in seconds! Try for FREE!