Albato
Zapier
Make.com
n8n.io
Trace
Pipedream
PROCESIO
Relay.app
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
Albato offers two powerful products: the Automation Platform and Embedded white-label integrations for SaaS, making it a one-stop solution for all your needs.
With the Albato Automation Platform, you can connect over 1,000 apps into automated workflowsโno coding required. Easily integrate new apps via API or Webhooks, leverage the powerful Automation Builder for real-time data transfer or historical data migration, and apply advanced data processing tools. You can also take advantage of Solutions, which offer ready-made automation templates or allow you to create custom shareable models.
For SaaS companies, Albato Embedded provides a seamless way to implement white-label connectors, enhancing built-in connectivity. This not only improves the user experience but also helps reduce churn and increase MRR.
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Based on our record, Lambda Face Recognition API seems to be a lot more popular than Albato. While we know about 27 links to Lambda Face Recognition API, we've tracked only 1 mention of Albato. 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.
Albato is a platform that enables no-code integration and process automation. Source: over 3 years 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
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Mattermost - Mattermost is an open source alternative to Slack.
Make.com - Tool for workflow automation (Former Integromat)
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
ipinfo.io - Simple IP address information.