Why Rent a GPU?

Discover how cloud GPUs can power your next project, from AI experiments to creative endeavors.

Choosing the Right GPU for AI/ML Workloads

Selecting the right GPU for your AI/ML tasks can be daunting, given the myriad of options available. This guide will walk you through the key specifications to consider and help you make an informed decision.

Key Specifications to Consider

When evaluating GPUs, it's essential to focus on a few critical specifications that will impact your workload's performance.

  • VRAM (Memory):

    The most critical spec for large language models. More VRAM allows for larger models and batch sizes. A minimum of 24GB is recommended for most modern LLMs.

  • Architecture:

    The architecture of the GPU can significantly impact performance. For example, the A100 uses the Ampere architecture, which is more efficient than the older Volta architecture used in the V100. 👉 Learn more about GPUs.

  • Price-to-Performance Ratio:

    Balancing cost and performance is crucial. The RTX 4090 typically offers the best value for individuals or small teams, while A100s and H100s provide maximum performance at premium prices.

Popular GPU Tiers

Depending on your needs and budget, different GPU tiers may be more suitable. Here's a breakdown of popular options:

  • Entry Level ML/AI:

    RTX 4090 (24GB) - Offers the best value proposition for those starting in AI/ML.

  • Professional:

    A6000 (48GB) - Provides a good balance of performance and cost, ideal for professional use.

  • Enterprise:

    A100 (40GB/80GB) - Known for high performance and wide availability, suitable for enterprise-level tasks.

  • Top Tier:

    H100 (80GB) - Delivers maximum performance but has limited availability, perfect for cutting-edge research.

By understanding these specifications and tiers, you can better align your GPU choice with your specific AI/ML needs. Remember, the right GPU can significantly enhance your productivity and efficiency.

What can you do with a GPU?

Train AI Models

Build your own AI assistants, image generators, or language models. Train models like Stable Diffusion or fine-tune LLMs on your custom data.

Generate AI Art

Create stunning AI artwork with models like Stable Diffusion. Generate and iterate on images much faster than on CPU.

Business Analytics

Accelerate predictive analytics and machine learning for business insights. Perfect for demand forecasting, customer behavior analysis, and automated decision-making.

Research & Learning

Experiment with machine learning papers, train models from scratch, and learn AI development hands-on.

Why rent instead of buy?

Cost-Effective

High-end GPUs can cost thousands of dollars. Renting lets you access powerful hardware for a fraction of the cost, paying only for what you use.

Flexibility

Scale resources based on your needs. Use spot instances for cost savings, upgrade for intensive workloads, or switch between different GPU types for optimal performance.

No Maintenance

Avoid dealing with hardware setup, cooling, electricity costs, and upgrades. Everything is managed for you.

Getting Started

Ready to start your GPU-powered project? Whether you're a hobbyist fine-tuning models, a startup building an MVP, or a researcher running experiments, we can help you find the right GPU. Compare prices and specifications in ourGPU comparison toolto find the perfect balance of performance and cost for your needs.