Deka GPU Documentations
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  • Reference
    • How to use kubeconfig on Linux
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    • RAPIDS
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    • How to Get an API Key on NGC
    • Deployment LLM with Deka GPU + NIM
    • Deployment Deepseek R1 70B with VLLM on Deka GPU's Kubernetes
      • Prerequisites
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Deployment
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      • Accessing the Deepsek Service
      • Troubleshooting
    • How to Upload and Download on FTP Web
  • Troubleshooting
    • Reinstall Driver NVIDIA on Linux
    • NVIDIA Driver Not Detected After Upgrade Kernel
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  • GPU Merdeka S
  • GPU Merdeka M
  • GPU Merdeka L
  • GPU Merdeka XL
  1. Service Portal
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  3. Project Type: SME

GPU Merdeka

PreviousProject Type: SMENextChoose Package

Last updated 5 months ago

There are currently several Deka GPU packages available and can be used for SME-type projects in the Deka GPU Service Portal. The following are some of the available GPU Merdeka packages.

GPU Merdeka S

The Merdeka S GPU offers a virtual GPU (vGPU) configuration with a capacity of 24GB using an NVIDIA L40S based graphics card, connected via PCle Gen4 for high data transfer speeds. In use, you can access up to 8 vCPU and up to 32GB RAM, enabling optimal performance for intensive computing needs such as AI processing and data analysis. This service has a minimum rental period of 10 days.

GPU Merdeka M

The GPU Merdeka M offers a GPU configuration with Multi-Instance GPU (MIG) technology of 20GB using an NVIDIA H100 graphics card based on the SXM5 architecture, which is designed for high performance and efficiency in AI computing and deep learning. You can utilize up to 8 vCPUs and up to 32GB RAM, providing flexibility in running heavy workloads such as AI model training and large-scale data simulations. This service is available with a minimum usage period of 10 days.

GPU Merdeka L

The GPU Merdeka L offers a GPU configuration with a capacity of 48GB using 1 NVIDIA L40S GPU unit connected via a PCle Gen4 card, providing high data transfer speeds that are ideal for computing-intensive applications such as machine learning and graphics rendering. Additionally, you can access up to 8 vCPUs and up to 128GB RAM, providing optimal computing resources for running large-scale workloads that require high performance and expansive memory. This service is available with a minimum usage period of 10 days.

GPU Merdeka XL

The GPU Merdeka XL offers a GPU configuration with a capacity of 80GB using 1 NVIDIA H100 GPU unit based on the SXM5 architecture, which is designed for high performance in data processing and large-scale AI model training. This GPU offers superior performance for deep learning, scientific computing, and complex AI workloads. Connected via an SXM5 card for high thermal efficiency and bandwidth, you also get access to up to 8 vCPU and up to 128GB RAM, making it ideal for computing tasks that require large memory and high processing speeds. This service is available with a minimum usage period of 10 days, suitable for short-term projects that require premium computing resources.

GPU Merdeka Packages
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