Deka GPU Documentations
  • Starter Guide
    • Introduction
    • Sign Up
    • Choose a Package
    • Top Up
    • Create a Virtual Machine
    • Download kubeconfig
    • Create a Deka LLM
    • Create a Deka Notebook
    • Conclusion
  • Service Portal
    • Introduction
    • Sign Up
    • Sign In
    • Sign Out
    • Forgot Password
    • Account Setting
      • Using MFA Google Authenticator
      • Using MFA Microsoft Authenticator
    • Project
      • Add Project
      • Delete Project
    • List Roles
    • Broadcast
    • Audit Log
    • Voucher
    • Security
      • AI Security AI Infrastructure Layer
      • AI Security AI Application Layer
    • Ticket
      • Create Ticket
      • Detail Ticket
    • Billing
      • Daily Cost Estimated
      • Monthly Cost
      • Invoice
      • Summary Monthly
    • Balance
      • Project Type: SME
        • GPU Merdeka
        • Choose Package
        • Top-Up
      • Project Type: Enterprise
      • History Balance
        • Balance
        • Transaction
      • Custom Resource Definition
  • Deka GPU
    • Deka GPU: Kubernetes
      • Introduction
      • GPU Type
      • Dashboard
        • Check Status Kubernetes
        • Download Kube Config
        • Access Console
      • Workloads
        • Pods
          • Create New Pod
          • Access Console
          • Configuration Pod
          • Delete Pod
          • How to Create a New Pod use CLI
        • Deployments
          • Create New Deployment
          • Configuring Deployment
          • Delete of a Deployment
          • How to Create a New Deployment use CLI
        • DaemonSets
          • Create a New DaemonSet
          • Configuring a DaemonSet
          • Delete DaemonSet
      • Services
      • Storages
        • Storage Class
        • Persistent Volume Claims
          • Create a New Persistent Volume Claim
          • How to Create a New Persistent Volume Claim use CLI
    • Deka GPU: VMs
      • Operating System
      • GPU Type
      • Machine Type
      • Namespace Type
      • Storage Class
      • How to Create a Virtual Machine on Service Portal
      • How to Manually Create a Virtual Machine
        • Download Kube Config
        • Running Kube Config
        • Configuration file dv.yaml
        • Configuration file vm.yaml
        • Configuration file svc.yaml
      • Feature Overview of Virtual Machine
        • Detail a Virtual Machine
        • Open Console
        • Turn Off a VM Instance
        • Turn On a VM Instance
        • Restart a Virtual Machine
        • How to Access Console
        • Show YAML File
      • Delete a Virtual Machine
    • Deka GPU: Registry
      • Create Registry
      • Quota
      • Detail Registry
        • Summary
        • Repository
        • Logs
        • Labels
        • Tag Immutability
        • Member
        • Resize Storage Registry
      • Delete Registry
    • Deka GPU: Security
      • Deka Guard
        • Introduction
        • Create Guard to Deny All Ingress
        • Create Guard to Allow Ingress
        • Create Guard to Allow Ingress with port
        • Create Guard to Allow Ingress with IP/CIDR
        • Create Guard to Deny All Egress
        • Create Guard to Allow Egress
        • Create guard to Allow Egress with Port
        • Create Guard to Allow Egress with IP/CIDR
    • Deka GPU: Service
      • Ingress
        • Install Ingress nginx
        • Install Cert Manager
        • Create Cluster Issuer
        • Create Ingress with TLS
    • Deka GPU: Autoscaling
      • Basic Autoscaling
    • Deka GPU: Network
      • Deka VPC
    • Deka GPU: MLOps
      • Introduction
      • Notebook
      • Tensorboards
      • Volumes
      • Endpoints
        • Create Endpoint
        • Delete Endpoint
      • Experiments (AutoML)
        • Create Experiments (AutoML)
        • Create Experiments (AutoML) using Python SDK
        • Get Experiments Results
      • Experiments (KFP)
        • Create Experiment
      • Pipelines
      • Runs
        • Create Run
        • Delete Active Run
      • Recurring Runs
        • Create Recurring Run
        • Delete Recurring Runs
        • Home
      • Artifacts
      • Executions
      • Manage Contributors
  • Deka LLM
    • Introduction
    • Check Project Type
    • Create a New LLM
    • Detail Deka LLM
      • Overview Tab
      • Keys Tab
        • Create a New Key
        • Detail a Key
        • Edit a Key
        • Get a Secret Key
        • Delete a Key
      • Usage Tab
      • Top Up Coin
    • API Deka LLM
      • Model Management
      • Completions
      • Embedding
    • Delete Deka LLM
    • How to Create Simple Prompt with Deka LLM
      • Create Deka LLM
      • Get URL API Deka LLM
      • Get Secret Key
      • Access API Deka LLM using Postman
      • Get Model
      • Post Chat Completions
  • Deka Notebook
    • Introduction
    • Namespace Type
    • Create a New Notebook
    • Detail Deka Notebook
      • Configuration Deka Notebook
      • Start Deka Notebook Service
      • Stop Deka Notebook Service
      • Get Token
      • Login Deka Notebook
      • Logout Deka Notebook
    • Delete Deka Notebook
  • Reference
    • How to use kubeconfig on Linux
    • How to use kubeconfig on Windows
    • Kubernetes Commands for Enhancing Security
    • How to add GPU in Kubernetes
    • How to Add GPU in VM
      • Download kubeconfig
      • Install kubectl
      • Add GPU
      • Install Driver NVIDIA
    • RAPIDS
      • How to Setup RAPIDS
      • How to make Custom Image
    • How to push image with Docker
    • Deployment LLaMA 3.1 70B with VLLM on Kubernetes
      • Getting the Hugging Face API Key
      • Requesting Access to the LLaMA Model
      • Connect Kubernetes on Computer
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Secret for Hugging Face Token
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the LLaMA Service
      • Troubleshooting
    • 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
      • Create Service
      • Verify Deployment
      • 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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  1. Service Portal
  2. Security

AI Security AI Infrastructure Layer

Artificial Intelligence Security and Artificial Intelligence Infrastructure Layer is an important concept in the development and application of artificial intelligence. Both play a role in ensuring that artificial intelligence systems not only function efficiently, but are also safe from various security threats that may arise.

Artificial Intelligence Security refers to a variety of measures and technologies designed to protect AI systems from threats that could disrupt functionality, corrupt data, or exploit weaknesses in the system. This threat can come from cyber attacks, such as hacking, data theft, or misuse of AI models. To address these threats, AI Security involves techniques such as data encryption, identity verification, anomaly detection, and continuous monitoring and updates. In addition, AI Security also includes protection against bias and data manipulation that can influence the results and decisions made by the AI ​​system.

The Artificial Intelligence Infrastructure Layer is the technological layer that underlies the operation of AI systems. This infrastructure includes hardware, such as GPU (Graphics Processing Unit) processors used to process complex computing tasks and software and networks that allow AI to function optimally.

The add-on security features for Deka GPU customer tenants are designed to provide an additional layer of protection that is important in maintaining data and operations security. In the modern computing environment, cyber threats are growing and becoming more sophisticated, so extra protection is needed by companies. This security add-on ensures that tenants, or users of Deka GPU services, can run their applications and store their data more safely and be protected from potential attacks. With this add-on, Deka GPU customers not only get high computing power, but also solid security to support their operations. The protection provided by this add-on covers various important aspects, such as monitoring and early detection of threats. There are various products from SQURA that can help you with security include:

  1. SQURA NGFW GPU,

SQURA NFGW GPU is a Next-Generation Firewall that uses the power of GPUs to speed up network traffic analysis and detect threats in real-time.

  1. SQURA ZTNA

SQURA ZTNA (Zero Trust Network Access) provides strict access control with zero trust principles, ensuring that only verified and secure users can access certain resources.

  1. SQURA AntiDDoS

SQURA AntiDDoS is specifically designed to protect networks from Distributed Denial of Service (DDoS) attacks that can cripple services.

  1. SQURA WAF OC

SQURA WAF OC (Web Application Firewall Operating Center) functions as a bastion for web applications hosted on Deka GPU. With SQURA WAF, web applications are protected from various common threats such as SQL injection attacks, cross-site scripting, and other application-based attacks. This product filters incoming and outgoing traffic from web applications, ensuring that only legitimate traffic is allowed to pass through. SQURA WAF uses advanced algorithms to analyze traffic patterns and detect suspicious behavior, thereby preventing attacks before they reach the application. This is an important solution for companies that depend on web applications for their operations, as threats to web applications can have fatal consequences for the business.

  1. SQURA NOC

SQURA NOC (Network Operations Center) provides 24/7 network monitoring, ensuring that any issues can be detected and addressed immediately before they have a major impact.

  1. SQURA PenTest

SQURA PenTest is a penetration testing service that helps customers identify weaknesses in their systems through realistic cyber attack simulations.

  1. SQURA SOC

SQURA SOC (Security Operations Center) offers comprehensive security management with a team of experts ready to respond to any security incident. These services add an additional layer of protection for Deka GPU tenants, making their infrastructure more resilient to cyber threats.

Overall, the combination of security add-ons and SQURA products and services makes Deka GPU a powerful and secure choice for enterprises requiring high-performance computing solutions. Tenants of Deka GPU customers can have peace of mind knowing that their data and applications are protected by the latest security technology. Implementing this solution also helps companies to comply with various applicable regulations and security standards, maintaining their good reputation in the eyes of customers and business partners. As cyber threats continue to evolve, it is important for every company to have a solid security strategy, and solutions SQURA together with Deka GPU provides a strong foundation for that. This integrated and efficient security allows customers to focus on innovation and business growth without worrying about ever-evolving cyber threats.

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