
Amazon API Gateway
AWS Lambda
Postman
Apigee
DynamoDB
Amazon S3
RapidAPI for Mac
Django REST framework
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
Amazon API GatewayNo Lambda Face Recognition API videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon API Gateway should be more popular than Lambda Face Recognition API. It has been mentiond 115 times since March 2021. 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.
I can generate multiple API endpoints from a single definition by attaching an Amazon API Gateway event source inside the loop:. - Source: dev.to / 3 months ago
API Patterns: REST (Amazon API Gateway), GraphQL (AWS AppSync with real-time subscriptions), WebSockets for streaming. - Source: dev.to / 4 months ago
AWS API Gateway is a managed HTTP/REST service provided by AWS. It provides a relatively simple way to host an API and offers rich functionality when it comes to customizability, security and integration. AWS API Gateway enforces a maximum integration timeout of 29 seconds. For most APIs this is perfectly reasonable. - Source: dev.to / 4 months ago
Until recently, GraphQL response streaming with AWS Lambda was only possible using Lambda Function URLs. But AWS now supports response streaming with Amazon API Gateway, and graphql-yoga has added support for this feature. This opens up new possibilities for building responsive GraphQL APIs with the full feature set of API Gateway (custom domains, usage plans, API keys, etc.). - Source: dev.to / 7 months ago
Nowadays, many Cloud implementations will make use of serverless architectures, such as AWS Lambdas and API Gateways to implement micro-services, or other similar functionality to deliver business logic without the need to manage servers. - Source: dev.to / 7 months ago
Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. Thatโs a realistic... - Source: dev.to / 5 months ago
Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago
AWS Lambda - Automatic, event-driven compute service
Mattermost - Mattermost is an open source alternative to Slack.
Postman - The Collaboration Platform for API Development
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Apigee - Intelligent and complete API platform
ipinfo.io - Simple IP address information.