HEAVY.AI

HEAVY.AI

软件开发

San Francisco,CA 9,566 位关注者

Advanced #Analytics that empower organizations to visualize high-value opportunities and decisions.

关于我们

HEAVY.AI provides advanced analytics that empower businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data. Leading organizations in government, telecommunications, energy, utilities, and higher education use HEAVY.AI to support high-impact decision-making in previously unimaginable timelines by harnessing the massive parallelism of modern GPU and CPU hardware. This analytics capability unifies today’s exploding data volumes from multiple sources for a better immersive and real-time, interactive visual experience. It can be deployed in the cloud and on-premise. HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). HEAVY.AI is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about HEAVY.AI at heavy.ai.

网站
https://www.heavy.ai
所属行业
软件开发
规模
51-200 人
总部
San Francisco,CA
类型
私人持股
创立
2013
领域
Big Data、Databases、GPU High Performance Computing、Data Analytics、Visualization、Data Science、Machine Learning、Augmented Analytics、Business Intelligence和Analytics

产品

地点

HEAVY.AI员工

动态

  • HEAVY.AI转发了

    查看Todd Mostak的档案,图片

    CTO/Co-founder of HEAVY.AI (formerly MapD/OmniSci)

    It truly was an awesome surprise this morning to see that Foursquare had open sourced over 100M Points-of-Interest (POIs) from its Places dataset. Having such a dataset under a permissive Apache license is going to be a huge boon to developers and open geo enthusiasts alike, as currently there is little high-quality open POI data available. Curious, I pulled the Parquet files from S3 and loaded them into HEAVY.AI, which took about 10 minutes, after which I spent another 10 minutes or so building a dashboard in Heavy Immerse to start interactively exploring the data. As you can see in the quick screen recording here, the dataset is quite stunning. I did a quick sanity check of the number of global McDonald's (roughly 40K), and then even drilled down to the streets of SF to find the locations of my favorite food truck (Se?or Sisig !). Major kudos to the Foursquare Places team for their significant contribution to the open geospatial community, and we look forward at HEAVY.AI to exploring this data more and using it to enrich other spatial datasets.

  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    Check out our new 20 billion record AIS ship location demo, running on a single-GPU NVIDIA Grace Hopper GH200 instance on Vultr Cloud!

    查看Todd Mostak的档案,图片

    CTO/Co-founder of HEAVY.AI (formerly MapD/OmniSci)

    In collaboration with Vultr, we're excited to release a new interactive demo of the GPU-accelerated HEAVY.AI platform, featuring over 20 billion records of ship location (AIS) data, enriched via a live join to ship-level metadata. This demo is running on a single GPU NVIDIA Grace Hopper Superchip (GH200) for $2.99/hr in Vultr Cloud, leveraging the ultra-fast NVLink interconnect between the Nvidia ARM CPU and Hopper GPU to dynamically page data in and out of GPU memory, with a terabyte per second of bandwidth. The same dataset running in leading CPU Cloud data warehouses will often take a minute or more per query, even on an instance 10X+ the price, compared to hundreds of milliseconds to refresh each chart using HeavyDB. That speed difference, combined with the server-side rendering capabilities of HeavyDB, allows users to go beyond static pre-generated reports and explore even massive datasets like this fully interactively. We invite you to try out the demo for yourself today. You can drill down on the supply chain backup of 2021 around the Port of Long Beach, examine seasonal patterns in the use of sailboats in Boston Harbor, or dive into anything else that comes to mind. Happy exploring! https://lnkd.in/e4rg5dA3

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  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    If you are attending #SC24 in Atlanta, we'd love to show you the combined power of HEAVY.AI and NVIDIA Grace Hopper running on Vultr. Swing by to see how you can visualize your largest geospatial datasets.

    ?? On the way to SC Conference Series Series! I’m joining the Vultr team at SC24?this week. At Vultr, we provide High-Performance Computing (HPC)?with a suite of solutions tailored for compute-intensive workloads—from Vultr Cloud GPUs and Bare Metal to managed Kubernetes clusters. Whether you're training #AI models with GPUs?or orchestrating complex workloads with our #Kubernetes Engine, Vultr provides a scalable, cost-effective cloud platform to power innovation across industries. Plus, with global availability and predictable pricing, you can unlock the performance you need—when and where you need it. This year is special as we’ve invited our incredible partners and customers to join us at SC24! Stop by our booth (#949): ?? To learn about Vultr. ?? For insights into how our solutions are shaping the future of AI, data science, and HPC workloads. ?? For great sessions led by our partners and customers, sharing their real-world successes and innovative use cases. We can’t wait to connect with you—let’s talk HPC, AI, and the future of computing! ?? AMD ConfidentialMind Console Connect DDN HEAVY.AI NetApp NVIDIA Run:ai SQream #SC24 #HPC #AI #CloudComputing #gpu #cloudgpu #Vultr

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  • HEAVY.AI转发了

    查看Todd Mostak的档案,图片

    CTO/Co-founder of HEAVY.AI (formerly MapD/OmniSci)

    I'm excited to present tomorrow (10/31) at 10AM PT/1PM ET with NVIDIA and Vultr on the huge performance gains we're seeing at HEAVY.AI running on the new Nvidia Grace Hopper Superchip. With an ultra-fast NVLink interconnect between CPU and GPU, we no longer have to move data over the "thin straw" of PCIe, dramatically accelerating large-scale data analytics workloads. Join us at the webinar to learn more! https://lnkd.in/egzdU2pG

    Data Insights Unleashed

    Data Insights Unleashed

    info.nvidia.com

  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    The extraordinary performance of HEAVY.AI starts from its core engine, the HeavyDB GPU-accelerated analytics database. In this blog post, our Founder and CTO Todd Mostak walks through recent benchmarks we conducted of the system, both Star Schema Benchmark (SSB) and TPC-H, showing the significant performance advantages of the system over CPU-based data warehouses, in some cases returning results over 100X faster.? HeavyDB is tested on an NVIDIA 8XA100 and the new ARM-based Grace Hopper GH200 system, and compared against Snowflake, Databricks, Google BigQuery, and Amazon Redshift. Special thanks to our close partner Vultr for providing the GPU hardware for testing. Read more in the blog and let us know your thoughts! https://lnkd.in/eYY39z9e

    Speed at Scale: Benchmarking GPU-Accelerated HeavyDB

    Speed at Scale: Benchmarking GPU-Accelerated HeavyDB

    heavy.ai

  • HEAVY.AI转发了

    查看Mike Flaxman的档案,图片

    Building geoAI and environmental digital twins

    Just published my first Forbes piece, digging in a bit on transparency, explicability and how they relate to genAI and SQL. SQL is far from the only choice in constraining an LLM, but I argue that it's the best one. Not coincidentally, that's what we've implemented at #heavyai. https://lnkd.in/gHSACmfp

    Council Post: Why GenAI Transparency And Explicability Are Essential And How SQL Helps

    Council Post: Why GenAI Transparency And Explicability Are Essential And How SQL Helps

    social-www.forbes.com

  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    ?? Unlock Next-Level Analytics Performance with Vultr’s NVIDIA Grace Hopper GPU Instances and HEAVY.AI Join us for this webinar where our Founder & CTO, Todd Mostak will co-present with Vultr and NVIDIA to dive deep into how Vultr’s NVIDIA Grace Hopper GPU instances have turbocharged HEAVY.AI’s analytics platform to deliver blazing-fast, cost-effective, and scalable insights for massive datasets. ?? Real-time analytics at this speed and scale can be a game-changer for your business. ?? Date: Thursday, October 31, 2024 ? Time: 10:00-10:45am PT Don’t miss out on this opportunity to revolutionize your analytics capabilities! ?? Register here: https://lnkd.in/gw_Tif2C #GPU #DataAnalytics #AI #CloudComputing #TechWebinar #Vultr #NVIDIA #HeavyAI #RealTimeData

  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    The Taylor Geospatial Institute is leading a collaborative approach to applying geospatial reseach and innovation to solve complex global challenges.?We are pleased to be part of TGI's Industry Partner Program which fosters the exchange of knowledge, tools and data between their institute and industry. We are pleased to have Dr. Michael Flaxman will be presenting to TGIs community on October 22nd.

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  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    We launched HeavyIQ earlier this year to our users to effortlessly generate SQL and visualizations in the HEAVY.AI platform using natural language. But now with the new LLM_TRANSFORM SQL operator, you can use the power of the HeavyIQ Large Language Model to add fuzzy intelligence to your SQL itself. Read this blog post from our founder and CTO Todd Mostak on how HeavyIQ and this new SQL AI operator can be used for a wide range of analytics and data cleaning tasks, such as correcting malformed date strings, categorizing data, and sentiment analysis. https://lnkd.in/e9fZfsWp

    Making SQL Smarter: How to Embed AI into your Queries with HeavyIQ

    Making SQL Smarter: How to Embed AI into your Queries with HeavyIQ

    heavy.ai

  • 查看HEAVY.AI的公司主页,图片

    9,566 位关注者

    Mobile data usage is surging, but limited cellular capacity and the need for strategic Wi-Fi placement are hindering network efficiency. ?? HEAVY.AI tackles the challenge by supercharging data analysis with parallel processing, unlocking insights from massive datasets. Interactive maps and charts pinpoint optimal Wi-Fi placement, leading to smoother cellular traffic, happier customers, and a more reliable network. ?? Discover how HEAVY.AI can empower the #Telecommunications industry: https://bit.ly/47AC50w #MobileData #Telecom #DataAnalytics

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