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Interesting take on integrating Fuzzy AI matching with well defined SQL heavy.ai/blog/making-sq…

Join this NVIDIA webinar on October 31 to hear from Vultr and HEAVY.AI on how #NVIDIAGraceHopper is accelerating enterprise workloads for their customers while unlocking energy savings in the #datacenter. Register now ➡️ nvda.ws/3A9ah84

Register today for our webinar on October 31 to hear from HEAVY.AI and Vultr on how the #NVIDIAGraceHopper converged memory architecture is accelerating a wide array of enterprise workloads and more. #AcceleratedComputing ➡️ nvda.ws/3AfZjO9

Want to find out more about the benefits of the converged memory architecture of the #NVIDIAGraceHopper Superchip? Join our webinar on October 31 with HEAVY.AI and Vultr to learn more. Register now ➡️ nvda.ws/4eWMV4O

At HEAVY.AI we recently benchmarked GPU-accelerated HeavyDB against an array of CPU data warehouses, including Snowflake, Databricks, BigQuery, and Redshift, seeing over 100X speedups in some cases. Included in our testing was the new NVIDIA ARM-based Grace Hopper GH200

Come check out a webinar I'll be giving with NVIDIA and Vultr tomorrow about the revolutionary performance of the Grace Hopper Superchip. With fast NVLink between CPU and GPU, we are finally unchained from the "thin straw" of PCIe.

#30DayMapChallenge Day 1: Points AIS transmissions from cargo ships and tankers loitering near the Port of Long Beach, showing the ship backlog during the supply chain crisis of 2021. Source: 20.4 billion AIS data points from Marine Cadastre, shown in HEAVY.AI.

#30DayMapChallenge Day 3: Polygons New Oak Ridge Lab US buildings dataset, complete with addresses and height data. Here are building footprints in the Philadelphia area, colored by height in HEAVY.AI.

Check out the new HEAVY.AI interactive 20 billion record AIS ship location demo running on a single GPU NVIDIA Grace Hopper GH200 superchip on Vultr cloud. Explore the impacts of the 2021 supply chain crisis, or look at seasonal patterns in sailboat usage in Boston Harbor.

Was super excited this morning to see Location.Foursquare had open sourced a dataset over 100M POIs. I immediately it into HEAVY.AI and am having a lot of fun exploring the data, it looks fantastic both in terms of coverage and accuracy.

I've been diving deeper into the Location.Foursquare Places dataset that was released two weeks ago, and am finding it great not only for accessing individual POIs, but also for performing large-scale analysis of geographic trends. Here I'm using HEAVY.AI to join the Places dataset to

We are excited to announce the availability of the HEAVY.AI GPU-accelerated analytics platform on the Nvidia Grace Hopper GH200 Superchip, offering customers significantly better performance at lower cost. businesswire.com/news/home/2025…

Interactively explore over 20 billion records of ship AIS data in our new demo of HEAVY.AI on the NVIDIA Grace Hopper Superchip, running in Vultr Cloud. See our blog for more info: heavy.ai/blog/interacti…

USGS in conjunction with UC San Diego recently released LiDAR-derived Digital Elevation Model (DEM) and Digital Surface Model (DSM) datasets for the areas impacted by the devastating Palisades and Eaton fires. First we ingested each dataset into HEAVY.AI (roughly 1.2 billion

🔑 See how HEAVY.AI unlocks real-time AI insights with Vultr Cloud GPU, powered by NVIDIA. From global shipping to telecom optimization, massive datasets are no match for high-performance analytics. Watch the testimonial: youtu.be/9_LWsC_sEno #AI #Analytics #CloudGPU

.@HEAVY_AI's webinar this week will provide an in-depth exploration of its latest advancements in geospatial data analytics, including enhanced vector processing, new raster capabilities and H3 spatial indexing… Register here for Wednesday's event: carah.io/HEAVYWebinar