Amazon EC2
DigitalOcean
Linode
Vultr
Microsoft Azure
Google Compute Engine
Amazon AWS
Heroku
Specode
Healthcare AI
Healy
After years of developing health apps for Fortune 500 hospitals and YC startups, we noticed a pattern: founders and organizations requested similar core features, essential for telehealth delivery but time-consuming to build from scratch. We decided it was time to stop reinventing the wheel.
Introducing Specode. Specode is an AI-powered app builder built exclusively for healthcare. Describe your idea in plain language, and Specode assembles a production-ready, HIPAA-compliant application with features like telehealth, scheduling, EHR integration, e-prescribing, patient portals, and more.
Skip months of development, own your full codebase, and launch up to 10x faster. Ideal for clinician-founders and health-tech startups who need speed, compliance, and flexibility โ without compromise.
Amazon EC2
SpecodeNo features have been listed yet.
No Specode videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon EC2 seems to be more popular. It has been mentiond 81 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.
For production deployment, the fine-tuned SLMs can run on SageMaker Real-Time Endpoints, self-hosted EC2, or even AWS Outposts for on-premise telco edge deployments where data residency is required. - Source: dev.to / 5 months ago
In this post we are using an Amazon EC2 T3 Micro instance running Ubuntu with an nginx web server. We'll use AWS Systems Manager to help set up a CI/CD pipeline using GitHub Actions. We'll then configure AWS Certificate Manager with Amazon CloudFront and have it connected to our domain with Amazon Route 53! We'll be using a Vue Nuxt 4 application as our web app. - Source: dev.to / 6 months ago
Cloud compute spend is one of the most visible and controllable components of AWS infrastructure costs, yet many organizations still pay for idle resources. Development, testing, UAT, QA, sandbox, and demo environments often run 24/7 out of convenience, even though they are only needed during business hours. Automatically stopping (โparkingโ) resources such as Amazon EC2 and Amazon RDS during off-hours is a... - Source: dev.to / 7 months ago
I believe that learning only theory or cramming these configuration options might not be enough to pass the exam. Also, and let's put your hand over your heart, memorizing EC2 or S3 settings will not make you a better cloud professional. - Source: dev.to / 8 months ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / 12 months ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Healthcare AI - Next-level insights in healthcare AI, where they needed most
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Healy - Your AI health companion for you and your loved ones
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.