Gpu subscription services

AI Discussions
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1

Hi everyone, what does the community suggest for gpu subscriptions providers for those of us who cannot afford a 2k to 6k computer with enough gpu, RAM, memory for fine tuning models.

2

I’ve seen deeplearning courses use aws and google cloud. Do see these as well:

3

Hi

I completely understand the challenge — building a high-performance machine with sufficient GPU, RAM, and storage for fine-tuning models can be prohibitively expensive. Fortunately, several cloud providers offer affordable GPU rental services tailored for AI and ML workloads. Here are some options to consider:

Affordable Cloud GPU Providers

  1. Vast.ai
    Vast.ai operates as a marketplace for GPU rentals, allowing you to bid on available hardware. This can result in significant cost savings compared to traditional cloud providers. For instance, H100 SXM instances start from approximately $1.93 per hour, and A100 PCIe instances from $0.64 per hour. Additionally, they offer interruptible instances that can save you up to 50% more through spot auction-based pricing.
    Learn more at Vast.ai

  2. TensorDock
    TensorDock provides access to a global fleet of GPU servers at a fraction of the cost of other cloud providers, with prices starting as low as $5. They offer a variety of GPUs, including H100s, with hourly rates around $2.25. There’s no need for long-term commitments, making it a flexible option for short-term projects.
    Explore TensorDock

  3. RunPod
    RunPod is an all-in-one platform for training, fine-tuning, and deploying AI applications. They offer GPU rentals ranging from $0.16 to $5.98 per hour, depending on the GPU model and usage. This makes it an economical choice for developers and researchers.
    Visit RunPod

  4. Lambda Labs
    Lambda Labs offers GPU cloud services with access to NVIDIA H100, A100, and V100 GPUs. Their pricing is competitive, and they provide both single and multi-GPU instances to suit various workload requirements.
    Check out Lambda Labs

  5. Google Colab and Kaggle Kernels
    For smaller-scale projects or experimentation, both Google Colab and Kaggle Kernels offer free access to GPUs, typically Nvidia Tesla P100s. While these resources are limited in terms of runtime and availability, they can be sufficient for initial testing and learning.
    Start with Google Colab
    Explore Kaggle Kernels

Tips for Cost-Effective GPU Usage

  • Spot Instances: Many providers offer spot or interruptible instances at a lower cost. These can be ideal for non-time-sensitive tasks but may be terminated with little notice.

  • Preemptible Instances: Some platforms provide preemptible instances that are more affordable but can be stopped by the provider at any time. Ensure your work can handle such interruptions.

  • Community Resources: Platforms like Shadeform.ai aggregate GPU offerings from various providers, allowing you to compare prices and find the best deals without additional fees.

I hope this helps you find a suitable and affordable solution for your GPU needs. If you have any specific requirements or need further assistance, feel free to ask!

Best regards,
Steve

4

thank you

5

thanks for the suggestions, I appreciate it, maybe there should be a deep learning course on how to optimize gpu subscriptions and for that matter storage and cpu subscriptions for fine tuning or other ai projects

6

Salad, Hyperstacks, GPUhub etc is affordable too.