Sold by: Gigabits
Deployed on AWS
AWS Free Tier
This is a repackaged open source software product wherein additional charges apply for custom operational agents. 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
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.
Dimension | Cost/hour |
|---|---|
t3.small Recommended | $0.09 |
t2.micro | $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 |
Dimensions summary
You pay by the hour for the AWS EC2 instance type you choose to run this DeepSeek-R1 image. Each dimension maps to a specific instance size, so pricing scales with the compute, memory, and GPU capacity of the instance. Smaller general-purpose and burstable types cost less per hour, while larger compute-, memory-, GPU-, and storage-optimized instances and bare-metal options cost more. You are not locked into a term; billing follows actual hours used. Pick the instance that fits your workload, then scale up or down by switching instance types.
Top-of-mind questions for buyers
Each hour reflects one running EC2 instance of the size you selected. The instance runs the DeepSeek-R1 image on Ubuntu 24 with the GigaOps AI Runtime Guard. You pay for each hour the instance is active, whatever its compute, memory, or GPU capacity.
The hourly software charge meters running time only. A stopped instance does not accrue the per-hour software fee. Underlying AWS storage for the instance volume may still apply while it sits idle. Restart it and the hourly software charge resumes.
Yes. Each dimension maps to one EC2 instance size, and you are not tied to a term. Switch to a larger or smaller instance type when needs change. Billing follows the new instance's hourly rate from the hour it runs.
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No refunds, cancel at any time
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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) .
Content disclaimer
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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
Updated with Gigabits Ops
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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