Hardened image with security baselines applied at first boot. 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.
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.
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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.
You pay by the hour for the EC2 instance you run this software on. The software price is the same delivery across all instances; your cost changes with the instance you pick. Options range from small burstable and general-purpose instances to large compute, memory, storage, and GPU or accelerator types. Bigger or specialized instances carry a higher hourly rate. You control cost by matching the instance size to your workload and shutting it down when idle. There is no upfront commitment; billing follows actual running hours.
Top-of-mind questions for buyers
What do I actually get for the hourly rate on each instance?
You get a hardened Ubuntu 24 image with the DeepSeek-R1 model and an AI runtime guard, pre-configured for 1-click launch. The image is the same across every instance. The instance you pick sets the CPU, memory, storage, and any GPU or accelerator you run on.
Am I charged when the instance is stopped or idle?
Software charges meter running hours only. When you stop an instance, the hourly software charge stops accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from this software's hourly rate. Shut down idle instances to control cost.
How do I change my cost if my workload grows?
There is no upfront commitment, so you switch instance types as needs change. Move to a smaller instance for lighter workloads or a GPU or accelerator type for heavier inference. Your hourly rate follows the new instance. Billing tracks actual running hours on whatever instance you choose.
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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.
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Hardened image with security baselines applied at first boot. This is a repackaged open source software product wherein additional charges apply for custom operational agents. Includes model health monitoring, resource tracking, auto-restart on failure, and GPU/CPU alerts. Run local AI inference with built-in reliability.
This product has charges associated with it for seller maintenance and technical support. This AMI of Amazon Linux 2 Deep Learning contains included limited technical support and updates. Gain peace of mind with essential technical support and a reliable baseline VM image, ensuring smooth operations with minimal investment
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