Overview
Introducing AI-Bench-Studio: the first release of a comprehensive AI benchmarking tool designed for efficient performance evaluation. Key features include Grafana integration, providing real-time visualization of benchmark performance, allowing users to monitor metrics with ease. RedisDB support is fully integrated, making it the primary database for benchmark testing in this release. The tool supports CSV data benchmarks up to 100MB, offering flexibility in data-driven performance testing. An RBAC-integrated solution ensures secure access management, allowing role-based permissions, though it requires a separate subscription or connection. For monitoring, the tool offers real-time log streaming, enabling users to observe runtime logs during benchmarking, allowing quick diagnostics and insights which can be downloaded This release is just the beginning, laying the foundation for future updates, including expanded database support and enhanced functionality, aimed at delivering a powerful and flexible benchmarking solution.
Highlights
- Custom AI Benchmarking
- Real-time Performance Insights
- Dataset Flexibility & Benchmark Comparison
Details
Typical total price
$0.596/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- $850.00/month
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.55 | $0.006 | $0.556 |
t2.micro AWS Free Tier | $0.55 | $0.012 | $0.562 |
t2.small | $0.55 | $0.023 | $0.573 |
t2.medium Recommended | $0.55 | $0.046 | $0.596 |
t2.large | $0.55 | $0.093 | $0.643 |
t2.xlarge | $0.55 | $0.186 | $0.736 |
t2.2xlarge | $0.55 | $0.371 | $0.921 |
t3.nano | $0.55 | $0.005 | $0.555 |
t3.micro AWS Free Tier | $0.55 | $0.01 | $0.56 |
t3.small | $0.55 | $0.021 | $0.571 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No refund policy
Legal
Vendor terms and conditions
Content disclaimer
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
- Bug fixes and minor internal updates.
Additional details
Usage instructions
Once the instance is run, all the services will come up automatically once instance boots up.
It is suggested to manually configure your Security Group/Firewall settings to access your instance. Currently, the 1-Click Security Group opens only to port 22 and 3000 so that you can access your instance via SSH using login 'ubuntu' username. If you chose the 1-Click Security Group, you can change it later to enable other applications to use the AWS Console or API.
To connect to this instance via ssh, you must have a new keypair generated or use an already present keypair pem at the time of launching the EC2 instance. Using this keypair, you can login to the instance as below: ssh -i <key-pair> ec2-user@<public_IP_of_the_instance>.
Alternately,you can also login to the instance via the AWS console by clicking on the"Connect Instance" option on the EC2 instances page. The username must be "ubuntu".
Resources
Vendor resources
Support
Vendor support
Support can be available on mail address aws-mp-support@bhojr.com
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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