@ToddMostak

Accelerating data processing on GPUs at Nvidia, former Founder and CEO of https://xitter.cf/t.co/r0bLn8Z6TI (FKA MapD/OmniSci)

 San Francisco, CA
heavy.ai
Joined March 2011
  • Tweets1.5K
  • Following857
  • Followers1.9K
168Media
Todd Mostak retweeted
Jure Leskovec
@jureSep 29
I’m very excited to share @nvidia Kumo Tabular, a new family of foundation models for tabular data. Kumo Tabular establishes the new Pareto frontier across the entire accuracy–inference-time tradeoff. Just as importantly, we are releasing it openly: open weights, open-source software, and a permissive license for commercial use. HuggingFace: huggingface.co/nvidia/Kumo-T… GitHub: github.com/NVIDIA/structured…
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NVIDIA Vera CPU: “Fastest machine we’ve measured…. Fastest ClickHouse result we’ve measured, too.” @ClickHouseDB, known for setting the standard for speed and efficiency in modern data systems, is sharing early testing results on Vera CPU and loving what they’re seeing. Results from partners like these are a strong signal of what’s ahead for CPU performance for data-intensive workloads. ⚡️
ClickHouse
@ClickHouseDBSep 3
Well, this is fast. We’ve been partnering closely with @NVIDIA to test its new Vera CPU, so naturally we ran ClickBench on it. Fastest machine we’ve measured so far. Fastest ClickHouse result we’ve measured, too. 👀 Stay tuned for the results!
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Truly awesome to see Jensen in his GTC keynote present @nvidia's joint partnership with @IBM to use cuDF to accelerate open source Velox and the Presto SQL engine in watsonx, showcasing how @Nestle achieves 5X faster queries for 83% less cost. Amazing collaboration between the Nvidia and IBM teams to make this a reality, and we're just getting started.
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If it was already difficult to know what is real, we are quickly going to converge on a world where representation replaces reality. Generated with Sora 2 Pro.
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Sora 2 Pro is really good. I asked it to recreate the scene of the 2010 Tahrir Square protests and it pulled together quite a convincing scene, complete with anti-Mubarak chants calling for the fall of the regime.
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Sora 2 is just wild…
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Todd Mostak retweeted
HEAVY.AI@heavy_ai30 Apr 2025
We recently expanded our support for the Uber H3 hierarchical geospatial index to HeavyDB, allowing users to easily aggregate, visualize, and join data using the H3 grid. Check out our new blog to learn more and see examples of this powerful new capability in action.
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Todd Mostak retweeted
Todd Mostak
@ToddMostak16 Apr 2025
Enabling real-time geospatial joins at scale has always been a key goal of ours at @heavy_ai. Check out our blog benchmarking geo join performance in GPU-accelerated HeavyDB against Postgres, DuckDB, Snowflake, BigQuery, and Redshift.
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Enabling real-time geospatial joins at scale has always been a key goal of ours at @heavy_ai. Check out our blog benchmarking geo join performance in GPU-accelerated HeavyDB against Postgres, DuckDB, Snowflake, BigQuery, and Redshift.
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Post here: heavy.ai/blog/connect-the-do…
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Todd Mostak retweeted
HEAVY.AI@heavy_ai26 Feb 2025
We're proud to announce a new partnership with @Ookla, a leader in network intelligence. With Ookla's wide array of unique crowdsourced and drive test data, paired with @heavy_ai, organizations can optimize, plan, and pinpoint issues in their networks faster than ever before.
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Todd Mostak retweeted
HEAVY.AI@heavy_ai18 Feb 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/interactively-…
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Todd Mostak retweeted
roon
@tszzl9 Sep 2024
you don’t need elegantly solve intelligence on paper when deep networks are just begging to learn
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Todd Mostak retweeted
HEAVY.AI@heavy_ai21 Jan 2025
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/2…
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I've been diving deeper into the @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 the NASA Gridded Population of the World (GPW) dataset, containing population estimates per square km for the entire world, using Uber H3 hexagonal spatial indexes as join keys. This allows for easy calculation and visualization of the number of POIs by category per capita. See below for two visualizations comparing the number of places of worship with the number of bars per 1,000 people. You can easily see the Bible belt light up for the former category, but why the high prevalence of both places of worship and drinking establishments in the Upper Midwest?
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Was super excited this morning to see @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.
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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.
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Link here: demo-ships.heavy.ai/ais/dash…
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#30DayMapChallenge Day 3: Polygons New @ORNL US buildings dataset, complete with addresses and height data. Here are building footprints in the Philadelphia area, colored by height in @heavy_ai.
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#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.
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