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Linode
Vultr
Microsoft Azure
Google Compute Engine
Amazon AWS
Heroku
Bitwave CLI
Cryptio
Put agents to work inside Bitwave.
Bitwave CLI allows an agent to connect to Bitwave and perform work using the data and functionality already available within the platform.
Through the CLI, agents can:
Access Bitwave data Retrieve transactions Add and retrieve wallets Check balances Categorize transactions Run balance reports Generate inventory views Support other repeatable accounting workflows
Instead of manually navigating through the same steps each time, finance teams can give an agent a task and allow it to use Bitwave’s tools to complete the underlying work.
The goal is straightforward: automate more of the repetitive work surrounding financial operations so people can focus on reviewing results, resolving exceptions, and making decisions.
Let an agent build a set of books
Bitwave CLI can also operate outside an organization’s primary Bitwave environment.
An agent can use the CLI to create a lightweight, local general ledger for a specific project or accounting exercise. It can record activity, generate reports, and share the resulting set of books through a human-readable Bitwave interface.
For example, a user could ask an agent to:
Build a depreciation schedule for construction costs Create a project-specific ledger Produce a balance sheet Generate a profit and loss statement Model and document a discrete accounting scenario The agent can build the work product locally and then share it through Bitwave for someone to inspect and use. This creates a practical bridge between work completed autonomously by an agent and the human review that financial operations still require.
Amazon EC2
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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 / 6 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 / 7 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 (“parking”) resources such as Amazon EC2 and Amazon RDS during off-hours is a... - Source: dev.to / 8 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 / 9 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 / about 1 year ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Cryptio - Accounting & analytics solution for your crypto portfolio
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
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.
Google Compute Engine - Google Compute Engine is not just fast. It’s Google fast.