Top Tweets for #cuGraph
AI + Graph = The future.
Join the ArangoDB Hackathon & build the next-gen AI Agentic App with GraphRAG + cuGraph.
π° $30,000 in prizes
π
Feb 10 β Mar 8, 2025
πJoin now: https://t.co/JX2zhJjYIg
#GraphRAG #AI #Hackathon #GenAI #cuGraph
AI + Graph = The future.
Join the ArangoDB Hackathon & build the next-gen AI Agentic App with GraphRAG + cuGraph.
π° $30,000 in prizes
π
Feb 10 β Mar 8, 2025
πJoin now: https://t.co/Lp7k0WoKhL
#GraphRAG #AI #Hackathon #GenAI #cuGraph
AI + Graph = The future.
Join the ArangoDB Hackathon & build the next-gen AI Agentic App with GraphRAG + cuGraph.
π° $30,000 in prizes
π
Feb 10 β Mar 8, 2025
πJoin now: https://t.co/q8tGkAjB3T
#GraphRAG #AI #Hackathon #GenAI #cuGraph
π The ArangoDB Hackathon is LIVE!
Compete for $30,000 in prizes while building Agentic AI Applications with GraphRAG & NVIDIA cuGraph!
π
Feb 10 β Mar 8, 2025
π Online β Open globally
π Join now: https://t.co/P2nl66kjrW
#GraphRAG #AI #Hackathon #GenAI #cuGraph
AI + Graph = The future.
Join the ArangoDB Hackathon & build the next-gen AI Agentic App with GraphRAG + cuGraph.
π° $30,000 in prizes
π
Feb 10 β Mar 8, 2025
π Register now: https://t.co/gxHTo4D8kq
#GraphRAG #Hackathon #GenAI #cuGraph #AI
Big congrats to the @RAPIDSai #cuGraph team for debuting at #3 on the Graph500 at @supercomputing #sc24 ! Can't wait for the next submission on a bigger rig!
We at first thought we had our numbers wrong last year when we internally measured our new open source GFQL graph query language, which uses cuGraph as one of its GPU components, and saw it at the ~#100 rank on cheapo $0.25/hr GPUs. Seeing this first official ranking is amazing and long overdue. It takes a village!
Working with massive graph data for your #ML tasks? Read our detailed tutorial on how to avoid bottlenecks in graph neural network sampling and training by using GPU acceleration: https://t.co/WhT7dtdvfT #graphanalytics #cugraph #datascience https://t.co/gcSthY4F4w
Working with massive graph data for your #ML tasks?
Here's a detailed tutorial on how to avoid bottlenecks in graph neural network sampling and training by using GPU acceleration: https://t.co/A7vvnstIB3
#graphanalytics #cugraph #datascience
Get your weekend #graph'ing on -- the latest #pygraphistry is out, and with the new lazy import structure making the graph automl dependencies on-demand, start times dropped from 10s => 1s! π₯
https://t.co/NsXnV0TRkL
π Nvidia @RAPIDSai #cugraph #GNN #visualization π
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/ny1KKAgF5w
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/t9P3MUEc6Q
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/qlAdM6s40k
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/wXmdnhzzqz
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/xgWJRa91gQ
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/0C9CyTrsGm
Learn how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. #cuGraph https://t.co/83LIrAYgJ6
My colleague @afilipovic_ wrote an awesome blog post on @nvidiadeveloper blog! π Read about how you can run GPU-powered graph analytics from @memgraphdb in seconds, while working with #python. @memgraphmage @nvidiaGPU #cuGraph #NVIDIA
https://t.co/N4kDj1iJE0
Graph Intelligence will do for discrete and non-euclidean data what CNNs did for images/sentences #GNN #cuda #dgl #cuGraph #rapidsai #Nvidia #graphistry #graphdatascience
https://t.co/91GJ0ynR3z
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