List of GPU available in the different GCP Zones

GPU available within GCP

As artificial intelligence (AI) and machine learning (ML) continue to advance, the demand for powerful computing resources grows. Graphics Processing Units (GPUs) have become essential in accelerating AI workloads due to their ability to handle large-scale data processing and complex computations efficiently. In this article, we delve into the significance of GPUs in AI, why it’s crucial to know their availability across different Google Cloud Platform (GCP) zones, and provide an overview of various GPU models available in GCP.

Importance of GPUs in AI

GPUs are designed to handle multiple tasks simultaneously, making them ideal for the parallel processing required in AI and ML applications. They excel in tasks such as training deep learning models, processing vast datasets, and performing complex mathematical calculations. This capability significantly reduces the time needed to develop and deploy AI solutions, enabling faster innovation and more sophisticated models.

The importance of knowing GPU Availability Across GCP Zones

Understanding where specific GPU models are available within GCP’s global infrastructure is crucial for optimizing performance and cost-efficiency. Different regions and zones offer varying types of GPUs, impacting the overall computational power and suitability for specific tasks. Knowing which GPUs are available in your desired location allows for better planning and resource allocation, ensuring that your AI workloads are both effective and efficient.

GPU Availability in GCP Zones

Here’s a comprehensive table detailing the availability of various GPU models across different GCP zones:

ZonesLocationGPU platformsNVIDIA RTX Virtual Workstations (vWS)
asia-east1-aChanghua County, Taiwan, APACL4, T4, P100L4, T4, P100
asia-east1-bChanghua County, Taiwan, APACL4L4
asia-east1-cChanghua County, Taiwan, APACL4, T4, V100, P100L4, T4, P100
asia-east2-aHong Kong, APACT4T4
asia-east2-cHong Kong, APACT4T4
asia-northeast1-aTokyo, Japan, APACA100 40GB, L4, T4L4, T4
asia-northeast1-bTokyo, Japan, APACH100 80GBN/A
asia-northeast1-cTokyo, Japan, APACA100 40GB, L4, T4L4, T4
asia-northeast3-aSeoul, South Korea, APACA100 40GB, L4L4
asia-northeast3-bSeoul, South Korea, APACA100 40GB, L4, T4L4, T4
asia-northeast3-cSeoul, South Korea, APACT4T4
asia-south1-aMumbai, India, APACL4, T4L4, T4
asia-south1-bMumbai, India, APACL4, T4L4, T4
asia-south1-cMumbai, India, APACL4L4
asia-southeast1-aJurong West, Singapore, APACL4, T4L4, T4
asia-southeast1-bJurong West, Singapore, APACH100 80GB, A100 40GB, L4, T4, P4L4, T4, P4
asia-southeast1-cJurong West, Singapore, APACH100 80GB, A100 80GB, A100 40GB, L4, T4, P4L4, T4, P4
asia-southeast2-a
asia-southeast2-b
Jakarta, Indonesia, APACT4T4
australia-southeast1-aSydney, Australia, APACT4, P4T4, P4
australia-southeast1-bSydney, Australia, APACP4P4
australia-southeast1-cSydney, Australia, APACT4, P100T4, P100
europe-central2-b
europe-central2-c
Warsaw, Poland, EuropeT4T4
europe-west1-bSt. Ghislain, Belgium, EuropeH100 80GB, L4, T4, P100L4, T4, P100
europe-west1-cSt. Ghislain, Belgium, EuropeL4, T4L4, T4
europe-west1-dSt. Ghislain, Belgium, EuropeP100, T4P100, T4
europe-west2-a
europe-west2-b
London, England, EuropeL4, T4L4, T4
europe-west3-bFrankfurt, Germany, EuropeL4, T4L4, T4
europe-west4-aEemshaven, Netherlands, EuropeA100 80GB, A100 40GB, L4, T4, V100, P100L4, T4, P100
europe-west4-bEemshaven, Netherlands, EuropeH100 80GB, A100 40GB, L4, T4, P4, V100L4, T4, P4
europe-west4-cEemshaven, Netherlands, EuropeH100 80GB, L4, T4, P4, V100L4, T4, P4
europe-west6-bZurich, Switzerland, EuropeL4L4
me-west1-bTel Aviv, Israel, Middle EastA100 40GB, T4T4
me-west1-cTel Aviv, Israel, Middle EastA100 40GB, T4T4
northamerica-northeast1-aMontréal, Québec, North AmericaP4P4
northamerica-northeast1-bMontréal, Québec, North AmericaP4P4
northamerica-northeast1-cMontréal, Québec, North AmericaT4, P4T4, P4
southamerica-east1-aOsasco, São Paulo, Brazil, South AmericaT4T4
southamerica-east1-cOsasco, São Paulo, Brazil, South AmericaT4T4
us-central1-aCouncil Bluffs, Iowa, North AmericaH100 80GB, A100 80GB, A100 40GB, L4, T4, P4, V100L4, T4, P4
us-central1-bCouncil Bluffs, Iowa, North AmericaA100 40GB, L4, T4, V100L4, T4
us-central1-cCouncil Bluffs, Iowa, North AmericaH100 80GB, A100 80GB, A100 40GB, L4, T4, P4, V100, P100L4, T4, P4, P100
us-central1-fCouncil Bluffs, Iowa, North AmericaA100 40GB, T4, V100, P100T4, P100
us-east1-bMoncks Corner, South Carolina, North AmericaA100 40GB, L4, P100L4, P100
us-east1-cMoncks Corner, South Carolina, North AmericaL4, T4, V100, P100L4, T4, P100
us-east1-dMoncks Corner, South Carolina, North AmericaL4, T4L4, T4
us-east4-aAshburn, Virginia, North AmericaH100 80GB, L4, T4, P4L4, T4, P4
us-east4-bAshburn, Virginia, North AmericaH100 80GB, T4, P4T4, P4
us-east4-cAshburn, Virginia, North AmericaH100 80GB, A100 80GB, L4, T4, P4L4, T4, P4
us-east5-aColumbus, Ohio, North AmericaH100 80GBN/A
us-east5-bColumbus, Ohio, North AmericaA100 80GBN/A
us-west1-aThe Dalles, Oregon, North AmericaH100 80GB, L4, T4, V100, P100L4, T4
us-west1-bThe Dalles, Oregon, North AmericaH100 80GB, A100 40GB, L4, T4, V100, P100L4, T4, P100
us-west1-cThe Dalles, Oregon, North AmericaL4L4
us-west2-b
us-west2-c
Los Angeles, California, North AmericaP4, T4P4, T4
us-west3-bSalt Lake City, Utah, North AmericaA100 40GB, T4
us-west4-aLas Vegas, Nevada, North AmericaH100 80GB, L4, T4L4, T4
us-west4-bLas Vegas, Nevada, North AmericaA100 40GB, T4T4
us-west4-cLas Vegas, Nevada, North AmericaL4L4

Overview of GPU Models in GCP

GCP offers a variety of GPU models tailored to different computational needs. Here are some notable examples:

  • NVIDIA L4: Ideal for video processing, inferencing, and other workloads requiring efficient video decoding.
  • NVIDIA T4: Versatile GPUs suitable for inferencing, machine learning, and data analytics.
  • NVIDIA P4: Designed for deep learning inference, offering efficient performance for real-time applications.
  • NVIDIA P100: High-performance GPUs for scientific computing and large-scale machine learning training.
  • NVIDIA V100: Advanced GPUs for deep learning and HPC applications, providing superior performance for training complex models.
  • NVIDIA A100: Cutting-edge GPUs for AI, data analytics, and HPC, offering significant improvements in performance and efficiency.
  • NVIDIA H100: Latest generation GPUs designed for the most demanding AI and HPC workloads, offering unparalleled speed and efficiency.

Conclusion

Understanding the availability of GPU resources across various Google Cloud Platform (GCP) zones is crucial for optimizing the performance and efficiency of AI and ML workloads. GPUs are indispensable in the realm of AI due to their ability to handle parallel processing and complex computations efficiently, thereby accelerating the development and deployment of sophisticated models.

The diversity of GPU models offered by GCP, such as the NVIDIA L4, T4, P4, P100, V100, A100, and H100, provides tailored solutions for different computational needs, from inferencing and video processing to high-performance computing and deep learning. Each GPU model comes with its strengths, ensuring that specific workloads can be handled with the most suitable resources.

By having a comprehensive understanding of which GPU models are available in which zones, organizations can strategically plan their AI projects, ensuring that they leverage the best resources available for their specific needs. This knowledge not only helps in optimizing costs but also in achieving the best possible performance, thereby driving faster innovation and more robust AI solutions.

To further keep a close control on your GCP cloud and AI costs, check out Holori, the next gen FinOps tool: https://app.holori.com/

Holori cost management tool

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