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Ratings and Reviews 0 Ratings
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Google AI StudioGoogle AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.
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FinOpslyAsk a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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OpenMetalIf your cloud bill has become harder to predict than your revenue, OpenMetal is worth a look. We provide hosted private cloud and dedicated bare metal infrastructure as a service. Our private cloud is built on OpenStack and Ceph, with fully managed hardware, and priced on a flat-rate model that doesn't punish you for growth. No per-resource metering, no egress surprises, no bill that requires a spreadsheet to decode. Our private cloud platform gives organizations dedicated hardware and full OpenStack access without the overhead of building or maintaining their own infrastructure. Deploy a private cloud in under an hour, integrate with your existing tools, and hand the operational burden to us. For teams that need raw compute power without virtualization overhead, our bare metal servers offer dedicated hardware with the same transparent pricing and fast deployment. Run standalone or connect directly to an OpenMetal private cloud for a flexible hybrid setup. OpenMetal is a practical choice for organizations running compute-intensive or latency-sensitive workloads including blockchain validators, AI and machine learning pipelines, high-frequency applications, and regulated industries where data residency and compliance requirements rule out shared public cloud environments. If you're managing infrastructure costs at scale, moving workloads off a hyperscaler, or simply need dedicated hardware that performs consistently, OpenMetal gives you a straightforward path to get there without building everything yourself.
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Servers.com by NexcessServers.com by Nexcess specializes in hybrid bare metal cloud infrastructure that combines dedicated server performance with the flexibility of modern cloud environments. The company offers multiple hosting solutions, including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes, allowing businesses to choose the resources that best fit their workloads. Its platform is designed to simplify infrastructure management while delivering the reliability required for business-critical applications. With access to a globally distributed network of data centers, organizations can improve application delivery and reduce latency for customers in key markets worldwide. Servers.com supports a broad range of industries, including gaming, fintech, adtech, streaming, iGaming, SaaS, and Web3. The infrastructure is optimized to accommodate both predictable workloads and sudden increases in demand. Dedicated bare metal resources provide enhanced performance, security, and workload isolation compared to shared environments. GPU-powered computing options enable organizations to support artificial intelligence and machine learning initiatives with greater efficiency. Managed Kubernetes services help businesses deploy and manage containerized applications without the complexity of maintaining underlying infrastructure. High-capacity networking and direct carrier connectivity contribute to consistent application performance and availability. By combining scalability, customization, and global reach, Servers.com helps organizations build infrastructure capable of supporting long-term growth and evolving technical requirements.
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What is BudgetML?
BudgetML provides an excellent option for practitioners who wish to quickly launch their models to an endpoint without the burden of extensive time, financial investment, or effort required to navigate the intricacies of complete deployment. The inspiration behind BudgetML arose from the challenges of locating an accessible and cost-effective approach for rapidly bringing a model into production. Using cloud functions can lead to issues with memory limitations and increased expenses when scaling, and Kubernetes clusters often introduce unnecessary complexity for the deployment of a single model. Starting from ground zero necessitates a grasp of various concepts like SSL certificate generation, Docker, REST APIs, Uvicorn/Gunicorn, and backend servers, which most data scientists may not be well-versed in. By addressing these challenges, BudgetML provides a solution that emphasizes speed, simplicity, and usability for developers. Although it may not cater to extensive production environments, BudgetML proves to be a valuable resource for quickly setting up a server at minimal expenses. In this way, BudgetML not only simplifies the deployment process but also allows data scientists to concentrate on refining their models rather than getting caught up in the complexities of deployment logistics. Ultimately, this makes BudgetML a practical choice for those looking to enhance their workflow and efficiency in model deployment.
What is Athina AI?
Athina serves as a collaborative environment tailored for AI development, allowing teams to effectively design, assess, and manage their AI applications. It offers a comprehensive suite of features, including tools for prompt management, evaluation, dataset handling, and observability, all designed to support the creation of reliable AI systems. The platform facilitates the integration of various models and services, including personalized solutions, while emphasizing data privacy with robust access controls and self-hosting options. In addition, Athina complies with SOC-2 Type 2 standards, providing a secure framework for AI development endeavors. With its user-friendly interface, the platform enhances cooperation between technical and non-technical team members, thus accelerating the deployment of AI functionalities. Furthermore, Athina's adaptability positions it as an essential tool for teams aiming to fully leverage the capabilities of artificial intelligence in their projects. By streamlining workflows and ensuring security, Athina empowers organizations to innovate and excel in the rapidly evolving AI landscape.
Integrations Supported
Google Cloud Platform
APIFuzzer
Docker
Gunicorn
Integrations Supported
Google Cloud Platform
Amazon Bedrock
Amazon Web Services (AWS)
Claude
Claude Duet
Cohere
Guardrails AI
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Pricing Information
Free
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
ebhy
Company Website
github.com/ebhy/budgetml
Company Facts
Organization Name
Athina AI
Date Founded
2022
Company Location
United States
Company Website
athina.ai/
Categories and Features
Prompt Management
Not specified
Categories and Features
Agentic AI
Not specified
Agentic Process Automation
Not specified
AI Agent Observability
Not specified
AI Agents
Not specified
AI Development
Not specified
AI Inference
Not specified
AI Observability
Not specified
Data Annotation
Not specified
Data Labeling
Not specified
IDE
Not specified
LLM Evaluation
Not specified
Prompt Management
Not specified