Best Virtual Machine Software in Brazil

Google Cloud Platform offers Virtual Machines (VMs) through Google Compute Engine, allowing businesses to provision scalable instances on-demand. These VMs support a variety of use cases, from running applications to conducting high-performance computing tasks. With the $300 in free credits for new customers, businesses can run, test, and deploy workloads on GCP’s virtual machines, helping them assess the platform’s capabilities without any upfront cost. Compute Engine VMs are fully customizable, allowing businesses to select the right CPU, memory, and storage configurations for their applications. Additionally, GCP offers preemptible VMs, which provide a cost-effective way to run non-essential workloads with a lower price point. These flexible options ensure that businesses can optimize their compute resources based on performance and cost requirements.

Google Compute Engine's virtual machines (VMs) provide users with customizable and scalable compute resources that can be tailored to specific needs. With support for a wide variety of operating systems, users can run Linux, Windows, and other environments, enabling flexibility for a broad range of applications. VMs can be easily configured with different CPU, memory, and storage options to suit the workload, offering both performance and cost-efficiency. New customers can take advantage of $300 in free credits to create and deploy virtual machines on Google Compute Engine, allowing them to experiment with different configurations and optimize their infrastructure.

The simplest cloud platform for developers & teams. Deploy, manage, and scale cloud applications faster and more efficiently on DigitalOcean. DigitalOcean makes managing infrastructure easy for teams and businesses, whether you’re running one virtual machine or ten thousand. DigitalOcean App Platform: Build, deploy, and scale apps quickly using a simple, fully managed solution. We’ll handle the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Use a simple, intuitive, and visually rich experience to rapidly build, deploy, manage, and scale apps. Secure apps automatically. We create, manage and renew your SSL certificates and also protect your apps from DDoS attacks. Focus on what matters the most: building awesome apps. Let us handle provisioning and managing infrastructure, operating systems, databases, application runtimes, and other dependencies.

Akamai Cloud (formerly Linode) is the world’s most distributed cloud computing platform, designed to help businesses deploy low-latency, high-performance applications anywhere. It delivers GPU acceleration, managed Kubernetes, object storage, and compute instances optimized for AI, media, and SaaS workloads. With flat, predictable pricing and low egress fees, Akamai Cloud offers a transparent and cost-effective alternative to traditional hyperscalers. Its global infrastructure ensures faster response times, improved reliability, and data sovereignty across key regions. Developers can scale securely using Akamai’s firewall, database, and networking solutions, all managed through an intuitive interface or API. Backed by enterprise-grade support and compliance, Akamai Cloud empowers organizations to innovate confidently at the edge.

The Cloud that makes sense. From high-performance cloud ecosystem to hyperscale green datacenters, Scaleway provides the foundation for digital success. Cloud platform designed for developers & growing companies. All you need to create, deploy and scale your infrastructure in the cloud. Compute, GPU, Bare Metal & Containers. Evolutive & Managed Storage. Network. IoT. The largest choice of dedicated servers to succeed in the most demanding projects. High-end dedicated servers Web Hosting. Domain Names Services. Take advantage of our cutting-edge expertise to host your hardware in our resilient, high-performance and secure data centers. Private Suite & Cage. Rack, 1/2 & 1/4 Rack. Scaleway data centers. Scaleway is driving 6 data centers in Europe and offers cloud solutions to customers in more that 160 countries around the world. Our Excellence team: Experts by your side 24/7 year round Discover how we help our customers to use, tune & optimize their platforms with skilled expert

ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.

Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.

CUDO Compute is a high-performance GPU cloud platform built for AI workloads, offering on-demand and reserved clusters designed to scale. Users can deploy powerful GPUs for demanding AI tasks, choosing from a global pool of high-performance GPUs such as NVIDIA H100 SXM, H100 PCIe, HGX B200, GB200 NVL72, A800 PCIe, H200 SXM, B100, A40, L40S, A100 PCIe, V100, RTX 4000 SFF Ada, RTX A4000, RTX A5000, RTX A6000, and AMD MI250/300. It allows spinning up instances in seconds, providing full control to run AI workloads with speed and flexibility to scale globally while meeting compliance requirements. CUDO Compute offers flexible virtual machines for agile workloads, ideal for development, testing, and lightweight production, featuring minute-based billing, high-speed NVMe storage, and full configurability. For teams requiring direct hardware access, dedicated bare metal servers deliver maximum performance without virtualization.

Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.