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    GigaOps AI Runtime Guard on DeepSeek-R1

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    Sold by: Gigabits 
    Deployed on AWS
    AWS Free Tier
    GigaOps AI Runtime Guard on DeepSeek-R1 (Ubuntu 24). Includes GPU and memory alerts, model serve health checks, automatic restart on failure, and resource tracking. Run AI inference with built-in reliability.

    Overview

    GigaOps AI Runtime Guard provides production-grade reliability for DeepSeek-R1 on Ubuntu 24. Built by Gigabits, it monitors and protects AI inference workloads.

    Key Features:

    • GPU/Memory Alerts: Real-time notifications when GPU memory, system RAM, or temperature exceed thresholds.
    • Model Serve Health: Periodic inference probes confirm the model is responding correctly.
    • Auto-Restart: Detects crashed or hung model processes and restarts with cooldown logic.
    • Resource Tracking: Historical GPU utilization, memory usage, and inference throughput.
    • Security Hardening: Firewall rules, SSH key-only auth, and non-root model execution by default.
    • One-Command Diagnostics: Run gigaops ai-report for infrastructure and model health.

    Ideal For: Teams deploying DeepSeek-R1 for AI inference who need automated recovery and GPU monitoring.

    Highlights

    • GPU and memory monitoring for DeepSeek-R1 on Ubuntu 24. Real-time alerts when GPU memory, system RAM, or temperature exceed safe thresholds for AI inference workloads.
    • Model serve health checks confirm DeepSeek-R1 responds correctly. Auto-restart recovers crashed or hung model processes with cooldown logic. Resource tracking shows historical utilization.
    • DeepSeek-R1 on Ubuntu 24 deployed with firewall rules, SSH key-only auth, and non-root execution. One-command diagnostics with gigaops ai-report for AI infrastructure health.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24

    Deployed on AWS
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    Pricing

    GigaOps AI Runtime Guard on DeepSeek-R1

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (187)

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    • ...
    Dimension
    Cost/hour
    t2.micro
    Recommended
    $0.21
    t3.micro
    $0.10
    g4ad.xlarge
    $0.26
    g4dn.xlarge
    $0.26
    g4dn.2xlarge
    $0.28
    g4ad.4xlarge
    $0.28
    g4dn.4xlarge
    $0.28
    g4ad.8xlarge
    $0.28
    g4dn.8xlarge
    $0.28
    g4dn.12xlarge
    $0.28

    AI Insights

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    Dimensions summary

    You pay by the hour for the EC2 instance type you run this software on. Each dimension maps to a specific instance size, so there are no separate plans or tiers. Pricing scales with the compute class you pick. Smaller general-purpose and burstable instances cost less per hour, while larger memory-optimized, compute-optimized, GPU, and high-memory bare-metal instances cost more. You match the instance to your workload needs. Billing runs per hour of use, so charges track how long each instance runs. You can switch instance types by launching on a different size.

    Top-of-mind questions for buyers

    You pay for each hour this software runs on the EC2 instance size you launch. The rate ties to the specific instance type, such as a burstable, general-purpose, memory-optimized, or GPU size. Each instance you run bills separately. Larger instance classes carry a higher hourly software rate.
    Software charges track running hours only. A fully stopped instance does not accrue software fees. Restarting it resumes hourly billing. Note that underlying AWS storage or other AWS resources may still bill separately while the instance sits stopped.
    You switch by launching this software on a different instance type. Your hourly rate then reflects the new size. Running instances bill independently, so if you keep the old one active it continues to accrue its own hourly charge until you stop it.
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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    first release of deep seek

    Additional details

    Usage instructions

    ssh to the instance public IP and login as 'ubuntu' user using the key specified at launch time. Use 'sudo su -' in order to get a root prompt. For more information please visit the links below:

    All instructions: https://gigabits-logos.s3.us-east-1.amazonaws.com/Gigabits-Deepseek-r1.pdf 

    Connect to your Linux instance from Windows using PuTTY: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/putty.html 

    Connect to your Linux instance using SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html 

    Support

    Vendor support

    please contact support@gigabitscloud.com  for any inquiries

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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