Overview
Investigate and automate with best-in-class GPU visual graph analytics and automation. Whether you are an analyst, researcher, or developer, explore your data as a graph with a few nodes and edges.. to millions!
AWS MARKETPLACE
- Private: Runs in your AWS account
- Starts at $1.47/hr for individuals: g4dn.xlarge
- Pay-as-you-go: Part of your regular AWS bill; stop/start AMI to toggle utilization
- Contact for tailored discounts
- AWS-Ready: Drivers, patches, log forwarding, auto-healing, TLS, & more
2.0 ENGINE W/ RAPIDS
- Multi-GPU client/coud
- Rich visual analytics: Point-and-click time bars, search, coloring, clustering, & more
- Explore CSVs, Splunk/ELK/Kusto, SQL/Spark/Impala, Neo4j/Neptune/JanusGraph/TigerGraph/DSE Graph, Pandas/NetworkX, & more
FOR ANALYSTS
- Go from raw data to insights
- Explore data that is non-graph, large, or complex
- Save, share, and embed your sessions
- Automate without coding by turning any investigation into a template
- Jupyter notebooks setup with secure login, PyGraphistry, Nvidia RAPIDS, & examples
FOR DEVELOPERS
- Python, JS, React, & REST (all languages)
- Embed stunning and full-featured visual graph analytics
- Embed automation deep links anywhere
- Prototype and iterate same-day with PyGraphistry
For enterprise teams needing on-prem, airgapping, orchestration, and support services such as resiliency, solutions, & training, see our homepage.
Launch walkthrough: https://www.graphistry.com/blog/marketplace-tutorial
Highlights
- Connect, explore, correlate, and automate without coding
- Scale with the only GPU client<>cloud engine
- Rapidly prototype with secured RAPIDS-ready Jupyter notebooks and web embedding APIs
Details
Typical total price
$10.752/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
p3.2xlarge | $10.00 | $3.06 | $13.06 |
p3.8xlarge | $18.20 | $12.24 | $30.44 |
p3.16xlarge | $26.20 | $24.48 | $50.68 |
p3dn.24xlarge | $26.20 | $31.212 | $57.412 |
p4d.24xlarge | $26.20 | $32.773 | $58.973 |
g4dn.xlarge | $1.47 | $0.526 | $1.996 |
g4dn.2xlarge Recommended | $10.00 | $0.752 | $10.752 |
g4dn.4xlarge | $10.00 | $1.204 | $11.204 |
g4dn.8xlarge | $10.00 | $2.176 | $12.176 |
g4dn.12xlarge | $10.00 | $3.912 | $13.912 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No refunds
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
v2.41.3 - 2024.08.29
Fix
Allow the flag_gfql_endpoint Waffle flag to be bypassed for dataset download purposes. Fix some datasets not working correctly when calling GFQL or Python endpoint.
v2.41.2 - 2024.08.09
Fix
Fix categorical encodings not working when applied to continuous data.
Features
Improved download modal with success/error messaging and clickable error icon for detailed error information display.
v2.41.1 - 2024.08.07
Infrastructure
Expose telemetry services through caddy and simplify telemetry configuration. Update to pygraphistry 0.34.1 from 0.34.2
Fix
Fix special characters in JSON properties are not escaped when getting files and datasets. Fix timebar histogram binning incorrectly. Fix datetime handling due to RAPIDS 23.10 changing the default policy.
Features
Add a download button to the Data Table for downloading node and edge datasets in json, parquet, and csv formats. Add play functionality as an aid for viewing and interacting with data in the timebar. Add an option to receive GFQL result data in parquet or csv formats. Add an option to receive only node or edge GFQL results. Add an option to receive only a subset of node or edge properties included in GFQL results. Add an option to change serialization options for GFQL results. Add an endpoint to allow data processing to be done server-side by executing user provided Python code.
Security
Fix GFQL endpoint incorrectly using internal caller. Allow GFQL endpoint to accept CSRF tokens as a method of request authentication.
v2.41.0 - 2024.07.16
Versions
PyGraphistry 0.34.1 from 0.33.8: Ring layouts, cudf fixes, personalized_pagerank Container CUDA 11.8 (from 11.5) and RAPIDS 23.10 Marketplace images now NVIDIA driver 550 Marketplace images now use Ubuntu 22.04 PyGraphistry 0.34.4 from 0.34.1: Compute a modularity-weighted layout
Breaking
Base images from RAPIDS changed in ways that may impact custom host environments:
Host Nvidia driver version must now be CUDA 11.8+ (vs 11.5 previously) or 12+
They are now rootless, but we keep using root user inside the Graphistry containers. We do not expect breaking changes, but note the significant change in case advanced integrations such as around migration automation scripts are impacted
Azure Marketplace images disable NVIDIA GPUDirect Storage (GDS) by default...
... Enable manually by removing LIBCUDF_CUFILE_POLICY=OFF from your $GRAPHISTRY_HOME/.env and restarting (force-recreate) all GPU containers
Additional details
Usage instructions
LAUNCH Note: if you have an issue logging into the Graphistry instance after launching the AMI, it may be because the IMDSv1 metadata service has been disabled, and we have created a patch which will be available in the next release. You can either enable IMDSv1 metadata service prior to creating the instance, or if that's not an option, please contact support@graphistry.com for instructions to reset the admin password. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-IMDS-new-instances.html
- Launch and go to the homepage at the AWS instance's public IP (use http, not https). The services may take 2-5 minutes to launch and will display loading warnings in the meanwhile. Make sure you are using a GPU server (g4dn., p3.). Worst-case, reboot.
- Log in with 'admin' / 'i-your_instance_id'
- Continue on to the notebook tutorials or file uploader; create accounts for the rest of your team; explore the documentation
Quick links:
- AWS launch walkthrough tutorial and videos: https://www.graphistry.com/blog/marketplace-tutorial
- Your first visualization - File Uploader tutorial: https://www.graphistry.com/blog/graphistry-importer-visually-explore-the-relationships-in-any-csv-xls-with-gpu-graph-analytics-and-no-coding-demo-analyzing-honeypot-device-logs
- Documentation: https://hub.graphistry.com/docs
- AWS Marketplace administration: https://github.com/graphistry/graphistry-cli/blob/master/docs/aws_marketplace.md
- General advanced administration: https://github.com/graphistry/graphistry-cli
RESTART
Use AWS console to stop/start/restart, or SSH in and run cd graphistry && sudo docker-compose restart
CONFIGURE
- Recommended: Associate a stable domain name + static Elastic IP with your instance
- See more, including custom domain names, at https://github.com/graphistry/graphistry-cli
Contact options for features & support: https://www.graphistry.com/support - we'd love to help!
Resources
Vendor resources
Support
Vendor support
Online Support support@graphistry.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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