Sold by: Gigabits
Deployed on AWS
AWS Free Tier
Hardened image with security baselines applied at first boot. This is a repackaged open source software product wherein additional charges apply for native tool customization and OS hardening. Includes GPU and memory alerts, model serve health checks, and resource tracking. Run AI inference with built-in reliability.
Overview
Gigabits (GigaOps) 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.
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 | $0.27 |
g4dn.xlarge | $0.27 |
g4dn.2xlarge | $0.55 |
g4ad.4xlarge | $1.11 |
g4dn.4xlarge | $1.11 |
g4ad.8xlarge | $2.23 |
g4dn.8xlarge | $2.23 |
Dimensions summary
You pay by the hour for this preconfigured DeepSeek-R1 image running on a hardened Ubuntu 24 base. The software cost is the same regardless of which machine you pick; the hourly rate changes with the EC2 instance type you select. The list covers hundreds of instance types across many families, including general-purpose, compute-optimized, memory-optimized, storage-optimized, and GPU or accelerator options. Larger instances carry higher hourly rates because they provide more processing power, memory, or specialized hardware. You scale cost up or down simply by choosing a bigger or smaller instance for your workload.
Top-of-mind questions for buyers
You pay two things combined in the hourly rate: the software license for the preconfigured DeepSeek-R1 image on hardened Ubuntu 24, plus the compute for the EC2 instance type you pick. The software portion stays constant; only the compute portion shifts with instance size.
Hourly software charges accrue only while the instance runs. A fully stopped instance stops the hourly software charge. Note that stopped instances may still incur separate AWS storage fees for attached volumes, which are billed by AWS, not through this software license.
The software cost is identical across instance types. The hourly difference reflects the underlying compute you select. Larger instances provide more CPU, memory, or GPU/accelerator hardware, so their compute rate is higher. You control cost by matching instance size to your workload needs.
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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. To use the Gigabits Ops Agent, follow instructions here: https://gigabits-logos.s3.us-east-1.amazonaws.com/gigabits-ops-agent-usage-instructions.pdf
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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