NodeShift

Finding reliable cloud infrastructure that balances performance, security, and cost can feel like a constant challenge. You need resources that scale with your projects, especially for demanding tasks like AI model deployment and large-scale computing, but steep prices and complex setups often get in the way. What if you could access powerful cloud services, enhance your data privacy, and significantly reduce your monthly bills, all through one platform?

NodeShift provides a secure, scalable, and remarkably affordable cloud environment built on decentralized principles. We offer easy access to Compute Virtual Machines, high-performance GPUs, S3-compatible Storage, and robust Networking solutions. Our focus is clear: to help you deploy and manage your applications—from web servers to complex AI agents—with greater ease, enhanced security, and substantially lower costs compared to traditional hyperscalers. This means you can redirect savings back into innovation and growth.

Key Features

• 💰 Slash Cloud Costs: Access essential cloud resources at significantly reduced prices. For instance, get Compute VMs for up to 82% less (e.g., a 6 vCPU/6GB RAM VM at $43.29/month vs. $144-$253 on major clouds) and high-end GPUs like the NVIDIA A100 for around $0.99/hour, a saving of over 75%. S3-compatible storage starts at just $5/TB for hot storage.

• 🤖 Deploy AI Models Instantly: Choose from over 140 popular Large Language Models (like Llama 3.3, Phi-4, Gemma 2, DeepSeek-R1) and deploy them with a single click. These models are optimized for tasks like AI inference, chatbot creation, and code generation.

• 🔒 Enhance Security & Privacy: Operate within a secure framework that includes SOC2, ISO27001, GDPR, and CCPA compliance. For AI deployments, benefit from Trusted Execution Environments (TEE), ensuring your raw data remains confidential and processed in a zero-trust environment.

• 🚀 Simplify Deployment & Management: Use our intuitive interface for quick deployments, even without deep cloud expertise. For experienced teams, leverage familiar tools like Terraform and GitHub Actions to automate infrastructure provisioning and code deployment, making your existing skills easily transferable.

• 🌍 Utilize Global Decentralized Infrastructure: Deploy your applications across more than 200 independent data centers worldwide. This distributed network enhances resilience (offering 99.99% worldwide resilience) and allows you to place resources closer to your users for lower latency.

• ⚙️ Access Powerful Hardware: Select from a diverse range of Compute VM configurations (from 1 vCore/1GB RAM up to 48+ vCores/512GB+ RAM, including custom requests) and high-performance GPUs (NVIDIA A100, H100, RTX 4090, and more) tailored for AI/ML training, video rendering, and other intensive workloads.

• 💳 Flexible Payment Options: Pay for services using standard methods like Visa and Mastercard, bank transfers, or opt for cryptocurrency payments including Bitcoin and Tether (USDT).

Use Cases

1. Running Cost-Effective AI Inference: You're developing an AI-powered application using a model like Llama 3. Instead of paying premium prices on major clouds, you use NodeShift's one-click deployment to get the model running on an affordable GPU instance. The TEE ensures your proprietary inference data remains secure, and the lower hourly rate significantly reduces your operational costs.

2. Scaling Web Applications Affordably: Your company manages several high-traffic websites and backend microservices. By migrating your Compute Virtual Machines from AWS or Azure to NodeShift, you replicate your environment using familiar Terraform configurations but cut your monthly compute bill by 60-70%. This frees up significant budget that can be reinvested into development or marketing.

3. Setting Up Secure Development & Test Environments: Your team needs isolated environments for testing new software builds. Using NodeShift's Virtual Private Cloud (VPC) features and affordable VMs, you can quickly spin up multiple secure, sandboxed environments. The S3-compatible storage allows easy handling of test data, and you only pay for the resources consumed, keeping development costs low.

Conclusion

NodeShift presents a practical alternative for accessing essential cloud infrastructure without the associated high costs and complexity. If your goals include significantly reducing expenditure on compute, GPU resources, or storage, while simultaneously enhancing data security and leveraging easy deployment tools (especially for AI), NodeShift is built for you. We provide reliable, globally distributed infrastructure designed to empower developers and businesses to build and scale more efficiently and affordably.

Frequently Asked Questions (FAQ)

1. What makes NodeShift different from major cloud providers like AWS, GCP, or Azure? NodeShift primarily differentiates itself through significantly lower pricing across compute, GPU, and storage services, often saving users 60-80%+. It also emphasizes security through features like Trusted Execution Environments (TEE) for AI and is built on a decentralized network of over 200 data centers, enhancing resilience and data sovereignty.

2. How easy is it to deploy an AI model on NodeShift? It's designed to be very straightforward. You can select from a wide range of popular pre-configured AI models (over 140 LLMs) and deploy them with just one click onto suitable GPU hardware. The platform handles the underlying setup.

3. Can I use my existing infrastructure-as-code tools with NodeShift? Yes. NodeShift supports automation using Terraform, allowing you to define and manage your VM and storage resources using familiar workflows. Integration with GitHub Actions is also available for CI/CD pipelines. Additionally, our storage service is S3-compatible, meaning you can use existing S3 tools and libraries.

4. What security certifications does NodeShift hold? NodeShift complies with key industry standards, including SOC2, ISO27001, GDPR, and CCPA, demonstrating a commitment to data security and privacy best practices.

5. What types of GPU instances are available? NodeShift offers a variety of GPUs suitable for different workloads, including high-performance options like the NVIDIA A100 and H100 (ideal for AI/ML training at scale) and consumer-grade GPUs like the RTX 4090 (suitable for tasks like graphical design or gaming workloads). Both high-availability and potentially lower-cost spot instances are available.

6. What payment methods are accepted? NodeShift accepts traditional payment methods like Visa, Mastercard, and bank transfers, as well as several cryptocurrencies, including Bitcoin (BTC) and Tether (USDT).