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 utilization tracking, model health checks, automatic restart on failure, and memory alerts. Run AI inference workloads with built-in observability.
Overview
GigaOps GPU Monitor delivers a ready-to-run DeepSeek-R1 deployment with integrated AI workload monitoring built by Gigabits. It provides the operational layer that bare AI model servers lack.
Key Features:
- GPU Utilization Tracking: Real-time GPU load, memory, temperature, and throughput metrics via local dashboard.
- Model Health Checks: Periodic inference validation to confirm the model responds correctly.
- Auto-Restart: Detects unresponsive model processes and restarts them with configurable cooldown.
- Memory Alerts: Notifications when GPU or system memory exceeds safe thresholds.
- Resource Dashboard: Unified view of GPU, CPU, memory, and disk for the AI workload.
- One-Command Diagnostics: Run gigaops ai-report for model and infrastructure health summary.
Ideal For: Teams running DeepSeek-R1 for AI inference who need GPU monitoring and automatic recovery without a full MLOps stack.
Highlights
- GPU utilization tracking for DeepSeek-R1 with Open WebUI. Real-time monitoring of GPU load, memory, temperature, and inference throughput via local dashboard.
- Model health checks validate DeepSeek-R1 responds correctly. Auto-restart detects unresponsive processes and recovers them with configurable cooldown. Memory alerts prevent OOM failures.
- DeepSeek-R1 AI model with Open WebUI deployed and ready for inference. GPU, CPU, and memory unified dashboard. Run gigaops ai-report for complete model and infrastructure health.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win 2022
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 |
|---|---|
t2.micro Recommended | $0.21 |
t3.micro | $0.10 |
t2.xlarge | $0.28 |
t3.xlarge | $0.27 |
t2.2xlarge | $0.55 |
m5.xlarge | $0.26 |
m5.metal | $3.35 |
m5a.24xlarge | $4.47 |
m5ad.24xlarge | $4.47 |
m5d.24xlarge | $4.47 |
Dimensions summary
You pay by the hour for the software running on your chosen Amazon EC2 instance type. The many options are not tiers or plans. Each one maps to a specific EC2 instance size and family, such as general purpose, compute, memory, storage, or GPU-accelerated types. Your hourly rate follows the instance you select, so larger or more specialized instances cost more per hour. You control cost by picking an instance that fits your workload and by starting or stopping usage. Billing runs only while the instance runs, with no upfront commitment.
Top-of-mind questions for buyers
Each hour covers the DeepSeek-R1 WebUI software running on one Amazon EC2 instance of the type you select. The software runs from a pre-built image you launch. You pick the instance type, and the hourly rate follows that choice. Charges accrue for each hour the instance runs.
Software charges apply only while the instance runs. A stopped or powered-off instance does not accrue hourly software fees. Stopped instances may still incur separate AWS storage fees for attached volumes. Start and stop usage to control what you pay.
Yes. Each instance type has its own hourly rate. Moving to a larger or more specialized type, such as a GPU-accelerated one, raises the hourly software cost. Moving to a smaller type lowers it. You change type by launching the image on a different instance.
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Vendor refund policy
The instance can be terminated at anytime to stop incurring charges. No refund available.
Legal
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
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
R1 DeepSeek
Additional details
Usage instructions
Resources
Vendor resources
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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