From SaaS shortlist to AI automation

Don't get left behind. Show Gralio how you work and our revolutionary new tool will return step-by-step guidance plus the exact software - or AI - to accelerate your work.

Logo of Google Cloud GPUs

Google Cloud GPUs

Website LinkedIn Twitter

Last updated on

Company health

Employee growth
69% increase in the last year
Web traffic
2% decrease in the last quarter
Financing
July 2018 - $16M

Ratings

G2
4.1/5
(12)
Glassdoor
3.5/5
(2)

Google Cloud GPUs description

Google Cloud GPUs offer high-performance processing power for tasks like artificial intelligence, scientific calculations, and creating realistic 3D visuals. It gives you a variety of GPU options to fit your budget and performance needs. Google Cloud GPUs let you customize your setup and only charges you for the time you use, ensuring cost-effectiveness. It also seamlessly integrates with other Google Cloud services for storage, networking, and data analysis.


Who is Google Cloud GPUs best for

Google Cloud GPUs empower businesses with high-performance computing for AI, machine learning, and data analytics. Offering a variety of NVIDIA GPUs, flexible customization, and pay-as-you-go pricing, it seamlessly integrates with other Google Cloud services. Businesses can scale their resources and only pay for what they use, optimizing cost-efficiency.

  • Ideal for medium to large businesses (101+ employees).

  • Best fit for tech companies needing robust computing power for AI, ML, and data analytics.


Google Cloud GPUs features

Supported

Provides NVIDIA H100, L4, P100, P4, T4, V100, and A100 GPUs.

Supported

Users can tailor their VM instances with different processors, memory configurations, high-performance disks, and up to 8 GPUs.

Supported

Offers per-second billing so users pay only for their usage duration.

Supported

GPU workloads can leverage other Google Cloud services for storage, networking, and data analysis.

Supported

GPUs can be used for a range of computationally intensive tasks, such as generative AI, 3D visualization, and HPC.

Supported

Provides various GPUs catering to different workloads such as machine learning, scientific computing, and generative AI.


Google Cloud GPUs pricing

The commentary is based on 1 reviews from Google Cloud GPUs G2 reviews.

Google Cloud GPUs offer powerful performance, but some users find the pricing of certain tools to be higher than competitors. While scaling resources like CPU and memory is easy and cost-effective, overall cost management requires attention due to potential expenses.

See the Google Cloud GPUs pricing page.

  • Google Cloud GPUs has a free trial.

NVIDIA T4
$0.35 / 1 hour

Offers 16 GB GDDR6 GPU memory for accelerating workloads.

NVIDIA P4
$0.6 / 1 hour

Offers 8 GB GDDR5 GPU memory for accelerating workloads.

NVIDIA V100
$2.48 / 1 hour

Offers 16 GB HBM2 GPU memory for accelerating workloads.

NVIDIA P100
$1.46 / 1 hour

Offers 16 GB HBM2 GPU memory for accelerating workloads.

NVIDIA T4 Virtual Workstation
$0.55 / 1 hour

Offers 16 GB GDDR6 GPU memory for virtual workstations.

NVIDIA P4 Virtual Workstation
$0.8 / 1 hour

Offers 8 GB GDDR5 GPU memory for virtual workstations.

NVIDIA P100 Virtual Workstation
$1.66 / 1 hour

Offers 16 GB HBM2 GPU memory for virtual workstations.


Google Cloud GPUs alternatives

  • Logo of RunPod
    RunPod
    Affordable, on-demand GPUs for AI, accessible to everyone.
    Read more
  • Logo of Google Cloud Infrastructure
    Google Cloud Infrastructure
    Scalable, pay-as-you-go computing power, storage, and networking.
    Read more
  • Logo of Google Cloud TPU
    Google Cloud TPU
    Fast AI booster for demanding machine learning projects.
    Read more
  • Logo of Google Cloud Scheduler
    Google Cloud Scheduler
    Schedules and automates cloud tasks reliably and easily.
    Read more
  • Logo of Google Cloud AI Infrastructure
    Google Cloud AI Infrastructure
    Powerful AI building blocks for training and deploying models.
    Read more
  • Logo of Google Cloud
    Google Cloud
    Scalable, reliable cloud hosting with powerful data tools.
    Read more

Google Cloud GPUs FAQ

  • What is Google Cloud GPUs and what does Google Cloud GPUs do?

    Google Cloud GPUs provide powerful processing for AI, scientific computing, and 3D visualization. Offering various NVIDIA GPUs, flexible configuration, and pay-as-you-go pricing, it integrates seamlessly with other Google Cloud services. It's ideal for businesses needing robust computing for data-intensive tasks.

  • How does Google Cloud GPUs integrate with other tools?

    Google Cloud GPUs seamlessly integrate with other Google Cloud services. This includes tools for storage, networking, and data analysis, enabling streamlined workflows for diverse workloads such as machine learning and high-performance computing.

  • What the main competitors of Google Cloud GPUs?

    Major competitors for Google Cloud GPUs include AWS, Azure, and other cloud providers offering comparable GPU services. These alternatives often feature different pricing models, GPU options, and platform integrations.

  • Is Google Cloud GPUs legit?

    Yes, Google Cloud GPUs are a legitimate and safe offering from Google Cloud. They provide reliable and high-performance GPU computing power suitable for various workloads, including AI and machine learning. Google's reputation and security measures further reinforce their trustworthiness.

  • How much does Google Cloud GPUs cost?

    Google Cloud GPU pricing starts at $0.35/hour for NVIDIA T4 and goes up to $2.48/hour for NVIDIA V100. Virtual workstation GPU pricing ranges from $0.55 to $1.66 per hour. Discounted pricing is available with longer-term commitments.

  • Is Google Cloud GPUs customer service good?

    Some users report that Google Cloud's UI for IAM is not user-friendly and could be improved. Documentation and instance availability across regions are other areas needing attention. However, the product generally solves on-premise infrastructure problems.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.