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NVIDIA GPUs on IBM Cloud
NVIDIA GPUs for AI, HPC and Visualization


NVIDIA GPUs for AI, HPC and Visualization

WatsonWorks Products
IBM Storage Software
Get on demand access to GPUs on IBM Cloud
#NVIDIA-GPUs-IBM-Cloud
Our Price: Request a Quote

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Overview:

Scale efficiently with on-demand access to NVIDIA GPUs on IBM Cloud

IBM Cloud® has a broad range of NVIDIA GPUs such as H200 and L40S to best fit with your specific needs and AI workloads, like training, inferencing or fine-tuning. The GPUs support a large range of generative AI inferencing applications, capabilities and frameworks, including large language models (LLM) and multi-modal models (MMM). Get your AI workload into product quickly based on your workload placement goals with multi-platform enablement, including IBM Cloud Virtual Servers for VPC, IBM watsonx®, Red Hat® RHEL AI or OpenShift® AI and Deployable Architectures.

Features:

Deploy based on your requirements

NVIDIA GPUs are paired with 4th Gen Intel® Xeon® processors on IBM Cloud Virtual Servers for VPC. There are several ways to adopt and deploy based on your infrastructure and software requirements.

Provision

Provision a Stand-alone Server on VPC

NVIDIA GPUs can be deployed through IBM Cloud Virtual Servers for VPC cloud instances. IBM Cloud VPC is designed for high resiliency and security inside a software-defined network (SDN) where clients can build isolated private clouds while maintaining essential public cloud benefits.

BYOL

BYOL watsonx software

Clients requiring full control over their entire AI stack, from infrastructure to workload, can deploy IBM watsonx.ai® to their NVIDIA GPU-based virtual server on IBM Cloud VPC.

Automate

Automate with Deployable Architectures

Clients who want the freedom to choose AI frameworks while also helping ensure rapid-secure deployment of their AI workloads can use our Deployable Architectures of NVIDIA GPUs on IBM Cloud.

RedHat

Red Hat OpenShift AI Deployment

Red Hat OpenShift AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments.

Benefits:

Industry

Industry-leading GPUs

NVIDIA is a pioneer in accelerated computing helping enterprises across industries with their performance intensive workloads.

Select

Select the GPUs to best fit your needs

IBM Cloud has a large choice of NVIDIA GPU instances so you can choose the one that is most suited for your workload and desired outcomes.

Execute

Execute large or small models, HPC and Visualizations

All GPUs are not created equally, whether it’s for your AI, HPC or Visualizations, IBM Cloud has the ones you need.

Specifications:

Feature GRID K1 GRID K2
Number of GPUs 4 x entry Kepler™ based GPUs 2 x high-end Kepler™ based GPUs
Total NVIDIA® CUDA® Cores 768 3,072
Total Memory Size 16 GB DDR3 8 GB GDDR5
Max Power 130 W 225 W
Aux Power 6-pin connector 8-pin connector
Board Dimensions 10.5" long, 4.4" high, dual slot 10.5" long, 4.4" high, dual slot
Display IO None None
PCIe x16, Gen3 (Gen2 compatible) x16, Gen3 (Gen2 compatible)
Cooling Solution Passive Passive

Documentation:

Download the NVIDIA GPUs on IBM Cloud (.PDF)

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Pricing Notes:

WatsonWorks Products
IBM Storage Software
Get on demand access to GPUs on IBM Cloud
#NVIDIA-GPUs-IBM-Cloud
Our Price: Request a Quote