Sold by: BITFLUX.AIÂ
Deployed on AWS
AWS Free Tier
BitFlux AMIs run your workloads in fewer machines by optimizing the way RAM is used. We start with a stock Ubuntu 24.04 LTS image adding a customized kernel and bitfluxd daemon. The bitfluxd service will monitor your system and uses a custom AI model to instruct the kernel to free up your RAM.
Overview
BitFlux AMIs are a turnkey solution to run more workloads on fewer instances. They will save you money and improve performance using custom edge based AI models. Users often see 30% to 50% more free RAM for a given workload. More RAM means more workloads can run on the same instances saving you money.
The BitFlux Optimized Ubuntu Server 24.04 LTS AMI is based off the stock Ubuntu Server 24.04 LTS AMI modified with BitFlux technology. It comes pre-configured with a customized kernel and the bitfluxd daemon. Bitfluxd is a RAM monitoring and optimizing daemon written in Rust. It will monitor your system RAM usage using standard Linux kernel metadata. Using a custom AI model it predicts what memory is safe to free up. Then it works with the kernel to free up your RAM.
The BitFlux MCP server can be used to aid in monitoring your workloads and matching them to the appropriate instance type. The owner of an instance can use the MCP server to get telemetry data from the instance highlighting the RAM usage and other metrics.
Notes on Data Collection: We take your privacy seriously. We do not collect any personally identifiable information. However, we do collect instance metadata and we transmit (but don't store) telemetry data for instance when requested by the user.
To support the functionality of the MCP server the bitfluxd daemon running on your instance connects to bitflux cloud servers over a secure TLS connection and uploads the following data:
- SHA256 hash of AWS Instance ID
- SHA256 hash of AWS Account ID
- SHA256 hash of AWS AMI ID
- SHA256 hash of /etc/machine-id
- Some fields of /etc/bitflux/config/bitflux.conf
- /etc/bitflux/config/.flux_id (UUID generated at first boot)
- /etc/bitflux/config/.machine_key (UUID generated on connection to cloud server) We at BitFlux will never see the original unhashed data and cannot use the hashed data to reconstruct it.
This data is used to uniquely identify an instance and receive a session token. Separately it enables the owner to connect to specific instances from the MCP server without the need for additional configuration. The data the MCP server requests from the instance, also transmitted over a secure TLS connection, contains the following:
- subset of data from /proc/meminfo
- subset of data from /proc/stat
Data collection can be disabled by creating a file at /etc/bitflux/config/.noconnect this instructs the system to not connect to the bitflux cloud server. While it will prevent the MCP server functionality, it will not impact the memory saving features.
Open Sourced patches and build scripts can be found at https://github.com/bitflux-ai/bitflux_kernelÂ
Highlights
- Save money by running more workloads on the same instances.
- Automatically free up RAM to run more workloads with edge based AI.
- Compatible with the standard Ubuntu Server 24.04 LTS AMI.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Dimension | Cost/hour |
|---|---|
t3.nano Recommended | $0.00052 |
t3.micro AWS Free Tier | $0.00104 |
t3.xlarge | $0.01664 |
t3a.micro | $0.00094 |
t3.small | $0.00208 |
t3a.small | $0.00188 |
t3a.nano | $0.00047 |
t3a.medium | $0.00376 |
t3.medium | $0.00416 |
t3.2xlarge | $0.03328 |
Vendor refund policy
We do not currently support refunds. Billing is hourly, you can cancel at any time.
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)Â .
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
Initial Release
Additional details
Usage instructions
The BitFlux Optimized Ubuntu Server 24.04 LTS AMI is created to be compatible with standard Ubuntu Server 24.04 LTS AMIs. To connect to your instance over SSH with the username "ubuntu", using the ssh keys provided during instance launch.
Detailed connection instructions:
-
Select the BitFlux Optimized Ubuntu Server 24.04 LTS AMI:
- In AWS Marketplace, search for "BitFlux Optimized Ubuntu Server 24.04 LTS" and click "select"
- Subscribe either by "Subscribe now" or "Subscribe on instance launch", agreeing to terms as prompted.
-
Configure SSH Key Pair:
- In the EC2 launch wizard, under "Key pair (login)":
- Select an existing key pair or create a new one.
- To create: Go to EC2 Console > "Key Pairs" > "Create key pair." Name it (e.g., "bitflux-key"), select ".pem" format, download the file (e.g., 'bitflux-key.pem'), and set permissions: 'chmod 400 bitflux-key.pem' (Linux/macOS).
- Assign the key pair to the instance during launch.
- In the EC2 launch wizard, under "Key pair (login)":
-
Configure Security Group:
- In the EC2 launch wizard, create a new security group or select an existing one with:
- Inbound: Protocol TCP, Port 22 (SSH), Source '0.0.0.0/0' (default) or your trusted IP, e.g., '192.168.1.0/24', for security.
- Outbound: Allow all traffic (default). or your trusted settings. Note: TCP port 8883 is needed for optional BitFlux cloud connectivity.
- In the EC2 launch wizard, create a new security group or select an existing one with:
-
Connect to the Instance:
- Find the instance's public IP in EC2 Console > "Instances."
- Use SSH to connect, example: 'ssh -i bitflux-key.pem ubuntu@<instance-public-ip>'
Configure and Use BitFlux Features:
- The 'bitfluxd' daemon is pre-installed and runs automatically, optimizing RAM usage (30-50% savings).
- Check 'bitfluxd' status: 'systemctl status bitfluxd'.
- View logs: 'journalctl -u bitfluxd'.
- To disable cloud connectivity (e.g., no telemetry), create '/etc/bitflux/config/.noconnect': 'sudo touch /etc/bitflux/config/.noconnect'.
Monitoring and Health Checks:
- Monitor RAM usage: 'cat /proc/meminfo' or use 'free -m'.
- Verify 'bitfluxd' is active: 'systemctl is-active bitfluxd'.
- Use the BitFlux MCP server https://github.com/bitflux-ai/bitflux_mcp to query telemetry (e.g., memory stats) via the BitFlux cloud service.
Post-Launch Configuration:
- To update bitfluxd and the bitflux kernel use apt as normal: 'sudo apt update && sudo apt upgrade'.
- For advanced monitoring, integrate with your DevOps tools using the MCP server.
For more information, refer to the BitFlux documentation: https://www.bitflux.ai/docsÂ
Support
Vendor support
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.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.