Compare Phala vs. AMD Developer Cloud

AMD Developer Cloud

View Product

Compare More Software

Ratings and Reviews 0 Ratings

Total

ease

features

design

support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total

ease

features

design

support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

RunPod
RunPod offers a robust cloud infrastructure designed for effortless deployment and scalability of AI workloads utilizing GPU-powered pods. By providing a diverse selection of NVIDIA GPUs, including options like the A100 and H100, RunPod ensures that machine learning models can be trained and deployed with high performance and minimal latency. The platform prioritizes user-friendliness, enabling users to create pods within seconds and adjust their scale dynamically to align with demand. Additionally, features such as autoscaling, real-time analytics, and serverless scaling contribute to making RunPod an excellent choice for startups, academic institutions, and large enterprises that require a flexible, powerful, and cost-effective environment for AI development and inference. Furthermore, this adaptability allows users to focus on innovation rather than infrastructure management.

205 Ratings

Company Website

Vertex AI
Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.

783 Ratings

Company Website

Google Compute Engine
Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.

1,151 Ratings

Company Website

Proton Mail
Proton Mail for Business offers a secure and professional email solution trusted by 50,000 organizations. Built with end-to-end encryption and protected by Swiss privacy laws, Proton Mail ensures your sensitive information is safe from unauthorized access and data leaks. Whether you're a small business or a large organization, you can ensure regulatory compliance, reinforce client trust, and keep your communications safe. Easily migrate your team from Google or Microsoft, use your own email domain for your communications, and manage your schedule with Proton Calendar — all in a user-friendly, privacy-focused platform.

108,630 Ratings

Company Website

Kamatera
Our extensive range of cloud solutions empowers you to customize your cloud server according to your preferences. Kamatera excels in providing VPS hosting through its specialized infrastructure. With a global presence that includes 24 data centers—8 located in the United States and others in Europe, Asia, and the Middle East—you have a variety of options to choose from. Our cloud servers are designed for enterprise use, ensuring they can accommodate your needs at every stage of growth. We utilize state-of-the-art hardware such as Ice Lake Processors and NVMe SSDs to ensure reliable performance and an impressive uptime of 99.95%. By choosing our robust service, you gain access to a multitude of valuable features, including high-quality hardware, customizable cloud setups, Windows server hosting, fully managed hosting, and top-notch data security. Additionally, we provide services like consultation, server migration, and disaster recovery to further support your business. Our dedicated support team is available 24/7 to assist you across all time zones, ensuring you always have the help you need. Furthermore, our flexible and transparent pricing plans mean that you are only charged for the services you actually use, allowing for better budgeting and resource management.

152 Ratings

Company Website

Google Cloud Platform
Google Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost. Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.

60,449 Ratings

Company Website

Keeper Security
The cornerstone of cybersecurity lies in password security. Keeper offers a robust password security platform designed to shield your organization from cyber threats and data breaches associated with password vulnerabilities. Studies indicate that a staggering 81% of data breaches stem from inadequate password practices. Utilizing a password security solution is a cost-effective and straightforward method for businesses to tackle the underlying issues that lead to most data breaches. By adopting Keeper, your organization can greatly lower the chances of experiencing a data breach. Keeper generates strong passwords for every application and website, ensuring they are securely stored across all devices. Each employee is provided with a personal vault to manage and safeguard their passwords, credentials, and files, along with sensitive client information. This alleviates the hassle of remembering or resetting passwords and eliminates the need to reuse them. Additionally, maintaining industry compliance is facilitated by stringent and customizable role-based access controls, inclusive of two-factor authentication, usage audits, and detailed event reporting. Furthermore, the implementation of Keeper not only enhances security but also promotes a culture of accountability and vigilance within your organization.

1,748 Ratings

Company Website

Google AI Studio
Google 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 3, 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.

11 Ratings

Company Website

MongoDB Atlas
MongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.

1,648 Ratings

Company Website

LM-Kit.NET
LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.

23 Ratings

Company Website

What is Phala?

Phala is transforming AI deployment by offering a confidential compute architecture that protects sensitive workloads with hardware-level guarantees. Built on advanced TEE technology, Phala ensures that code, data, and model outputs remain private—even from administrators, cloud providers, and hypervisors. Its catalog of confidential AI models spans leaders like OpenAI, Google, Meta, DeepSeek, and Qwen, all deployable in encrypted GPU environments within minutes. Phala’s GPU TEE system supports NVIDIA H100, H200, and B200 chips, delivering approximately 95% of native performance while maintaining 100% data privacy. Through Phala Cloud, developers can write code, package it using Docker, and launch trustless applications backed by automatic encryption and cryptographic attestation. This enables private inference, confidential training, secure fine-tuning, and compliant data processing without handling hardware complexities. Phala’s infrastructure is built for enterprise needs, offering SOC 2 Type II certification, HIPAA-ready environments, GDPR-compliant processing, and a record of zero security breaches. Real-world customer outcomes include cost-reduced financial compliance workflows, privacy-preserving medical research, fully verifiable autonomous agents, and secure AI SaaS deployments. With thousands of active teams and millions in annual recurring usage, Phala has become a critical privacy layer for companies deploying sensitive AI workloads. It provides the secure, transparent, and scalable environment required for building AI systems people can confidently trust.

What is AMD Developer Cloud?

AMD Developer Cloud provides developers and open-source contributors with instant access to powerful AMD Instinct MI300X GPUs via an easy-to-use cloud platform, which comes equipped with a pre-configured environment that features Docker containers and Jupyter notebooks, thereby removing the necessity for any local installations. Users can run a variety of workloads, including AI, machine learning, and high-performance computing, with setups customized to their specifications; they can choose between a compact configuration featuring 1 GPU with 192 GB of memory and 20 vCPUs, or a more extensive arrangement with 8 GPUs offering an impressive 1536 GB of GPU memory and 160 vCPUs. The platform functions on a pay-as-you-go basis tied to a payment method and grants initial free hours, such as 25 hours for eligible developers, to support hardware prototyping efforts. Crucially, users retain full ownership of their projects, enabling them to upload code, data, and software without losing any rights. This streamlined access not only accelerates innovation but also encourages developers to push the boundaries of what is possible in their fields, fostering a vibrant community of creativity and technological advancement. Ultimately, AMD Developer Cloud represents a significant leap forward in providing developers with the resources they need to succeed.