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    Graphistry Core

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    Sold by: Graphistry 
    100X Investigative power with Graphistry's best-in-class visual graph analytics and investigation automation. Start surfacing the stories in your data with GPU-accelerated visual analytics, enterprise-grade graph support, point-and-click automation, RAPIDS GPU Jupyter notebooks, and web developer AP
    Listing Thumbnail

    Graphistry Core

     Info
    Sold by: Graphistry 

    Overview

    Play video

    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04.4 LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (g4dn.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $10.752/hour

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Graphistry Core

     Info
    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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (12)

     Info
    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

    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.

    Usage information

     Info

    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

    v2.41.10 - 2024.11.07

    Features

    • Implement API to improve for complex encodings support for custom label configuration.

    v2.41.9 - 2024.11.04

    Features

    • Update play feature to add new features such as multi-selection and improve usability.

    Fix

    • Fix URL, flag, and base64 encoded icons not appearing in node legend.

    v2.41.8 - 2024.10.17

    Features

    • Run Python endpoint tasks in separate threads and added a cancellation API at /api/v2/datasets/python/cancel.
    • Upgrade to PyGraphistry 0.34.5: GFQL fixes and UMAP supports optional kwargs for its methods and constructor, with added GPU support in featurize paths.

    Fix

    • Fix categorical encodings not displaying property if more unique encodings than bins are present.
    • For histograms that use an "_other" bin, fix highlight on hover.
    • Fix issue with user being unable to delete files in Jupyter Lab
    • Fix datetime handling for arrow uploads due to RAPIDS 23.10 changing the default policy.
    • Change Python endpoint env. var. to default to endpoint enabled, and replace original Waffle flag with 2.

    Versions

    • Pinned Stripe to 5.5.0 due to breaking changes in the Stripe API in version 11.x.
    • Pinned grpc-js to 1.11.1 to avoid OpenTelemetry timeout issues with the exporters.

    v2.41.6 - 2024.10.11

    Features

    • Show Timebar and Node Legend buttons as disabled even when unavailable.
    • Added Play loop toggle.
    • Added Play global interval setting.
    • Remove Play media buttons when play mode is disabled.

    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 

    1. 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.
    2. Log in with 'admin' / 'i-your_instance_id'
    3. Continue on to the notebook tutorials or file uploader; create accounts for the rest of your team; explore the documentation

    Quick links:

    RESTART Use AWS console to stop/start/restart, or SSH in and run cd graphistry && sudo docker-compose restart

    CONFIGURE

    Contact options for features & support: https://www.graphistry.com/support  - we'd love to help!

    Resources

    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.

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