AI Needs High-Performance Data ⚡ “You need the most efficient compute architecture you can get…” Jensen Huang, GTC 2025 Keynote. AI is only as powerful as the data pipeline fueling it—and slow, CPU-bound analytics just won’t cut it anymore. At Voltron Data, we’re helping teams move from: ✅ Slow, CPU-heavy data processing → Lightning-fast GPU-accelerated analytics ✅ Siloed AI & SQL workflows →Seamless SQL + AI integration with Arrow & RAPIDS ✅ Expensive compute inefficiencies → Cost-effective, high-speed processing Want to stop bottlenecking GPUs on Spark? Test Drive Theseus - the future of SQL on GPUs 🚀 https://lnkd.in/gMFm5MxR
Voltron Data
Software Development
Mountain View, California 25,127 followers
We offer a new way to design and build enterprise data systems using composable, open source standards.
About us
Voltron Data was born out of the friction between state-of-the-art SaaS and open source. We are a team of data system engineers, scientists, analysts, and open source maintainers who have been driving innovation in the data analytics ecosystem for the last 15 years. We offer a new way for enterprises to design and build composable data systems that unlock flexibility, productivity, and cost-optimizations. This is made possible using our modular components based on open source standards. Today, our team actively maintains and contributes to transformational open source projects like Apache Arrow, Ibis, Substrait, RAPIDS, Velox, Parquet, and more. To join our team, check out our careers page: www.voltrondata.com/careers. Please note that neither Voltron Data nor any of its recruiting or placement agencies will send unsolicited messages related to employment and/or contract positions via WhatsApp or any other social media channels.
- Website
-
https://voltrondata.com
External link for Voltron Data
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Mountain View, California
- Type
- Privately Held
- Founded
- 2021
Locations
-
Primary
650 Castro St
Mountain View, California 94041, US
Employees at Voltron Data
Updates
-
🌊 AI Agents Are Unleashing an SQL Tsunami—Are You Ready? 🌊 The way we interact with data is shifting fast. With the rise of AI agents, we’re witnessing an unprecedented surge in SQL queries - fueling real-time decision-making, automating workflows, and reshaping analytics as we know it. But here’s the challenge: Can your data stack keep up? 🚀 Why AI is fueling the SQL tsunami: ✅ AI needs structured data and SQL remains the most efficient way to access it. ✅ AI-driven analytics aren’t just querying data, they’re generating SQL at scale. ✅ The convergence of GPUs, DPUs, and open formats (Apache Arrow, Apache Iceberg) is making SQL more powerful than ever. At Voltron Data,we see where this is going. AI-powered analytics needs AI-ready SQL - high-performance, accelerated, and built for modern workloads. That’s why we’re building Theseus, unlocking SQL on GPUs for the next era of data processing. The SQL tsunami isn’t coming—it’s already here. Are you riding the wave or getting left behind? 🚀 Experience the future of SQL on GPUs. Test drive Theseus today! https://lnkd.in/gMFm5MxR
-
⚡GPU-Accelerated Analytics That Won’t Hit a Wall⚡ Spark-RAPIDS might look promising, but our real-world benchmarks revealed a big limit—Spark’s CPU-first architecture. Enter Theseus: a true GPU-native engine delivering better performance on TPC-H & TPC-DS benchmarks, saving time and cost. No more CPU bottlenecks, just pure acceleration. Why It Matters: - 🚀 10X faster queries on TPC-H & 6X on TPC-DS - 💰 Major cost-performance improvements - 🔥 Built GPU-native from day one See how we’re pushing the boundaries of analytics. 👉 Full Benchmark Results: https://voda.do/thewall NVIDIA #gtc2025 #GPU #SQL #Analytics #BigData
-
-
Staff Software Engineer at Voltron Data | Author of "In-Memory Analytics with Apache Arrow" | Apache Arrow PMC
The Apache Arrow community is happy to announce the release of v18.2.0 of the Arrow Golang libraries! This includes libraries for Arrow, Parquet, Flight and FlightSQL You can find the announcement at https://lnkd.in/e2zDVYCd which also includes a small changelog and a link to the full changelog and release! Some of the highlights are: * Fixing some bitmap ops on 32-bit platforms * Allocations by arrow/memory will always be aligned even from the Mallocator * Sped up overflow checks for small integers in compute library * The parquet_reader CLI now has an option to dump the column and index offsets * Parquet Column readers now have a SeekToRow method that will leverage column/index offsets if they exist Go check it out! And of course the documentation can be found at https://lnkd.in/egVmbdqC
-
Join Matt Topol at the ICEBERG Summit on April 8 in San Francisco! Matt will be talking about the current status and roadmap of the official Iceberg golang library. Special Discount: Use code "friends_speaker" for 25% off your ticket! ▶️ Register now : https://lnkd.in/g9tPuX8T 🎉 And that’s not all - join Matt, along with Jason Hughes and Alex Merced, for a book signing during lunch from 12:30 - 1:30 P.M. on April 8th. #ICEBERGSummit #MattTopol #ApacheArrow
-
-
Congratulations to Lip-Bu Tan on being named the new CEO of Intel! 🚀 At Voltron Data, we know that innovation in data analytics and high-performance computing relies on strong collaboration across the industry. Looking forward to what's ahead - let's keep building. https://lnkd.in/gkdvvPxN
We are thrilled to welcome Lip-Bu Tan as Intel’s new CEO! Here's to Intel’s next era of innovation. 🤝 Learn more: https://intel.ly/4iqGitf
-
-
Voltron Data reposted this
At Voltron Data, we’ve always believed that analytics should be smart and cost-effective. It's simple: right tool for the right job and design systems that don’t waste resources. The recent news about DeepSeek AI? It’s validation of this premise. Deliver top tier results, while keeping costs down. It's the thinking we’ve been pushing for years. As Rodrigo Aramburu on NBC: We can’t just keep throwing hardware at the problem. It’s all about smarter software, optimized systems, and saving real money at scale. #voltrondata #acceleratedhardware #gpus #deepseek #ai
Our co-founder Rodrigo Aramburu spoke on NBC Bay Area with Scott McGrew about how we fundamentally need to start thinking about building software more efficiently and not just throw more hardware at the problem. Many of us at Voltron Data have been working on merging hardware and database design for over 10 years, leveraging hardware intelligently to dramatically reduce the number of servers and energy needed to run large scale data analytics workloads. Projects like DeepSeek AI validate our approach with their ability to deliver state-of-the-art reasoning models at a fraction of the cost of their competitors. https://lnkd.in/g2G-UBcx
-
Voltron Data reposted this
Many people have asked me if it's possible to test drive Voltron Data's distributed GPU query engine. Now it is!
🚀 Try Theseus: The Future of SQL on GPUs At Voltron Data, we’re building software to fully harness NVIDIA GPUs, high-performance networking, and storage to drive the cost of analytics as close to zero as possible. Today, we’re excited to introduce Theseus Test Drive; a free SQL editor that demonstrates the speed and cost-efficiency of running SQL on GPUs. 🔹 Run SQL queries on NVIDIA GPUs for free 🔹 Execute pre-written or custom queries on a 1TB TPC-H dataset 🔹 Experience heavy joins, sorts, and aggregations on accelerated infrastructure Running TB-scale analytics on traditional cloud infrastructure is costly and slow. Theseus reduces execution times to seconds, enabling analysts to iterate faster, refine insights, and dramatically cut costs. 👉 Read the blog here - https://voda.do/l0a974 #DataAnalytics #SQL #GPUComputing #BigData #CloudComputing #AI #VoltronData #AcceleratedAnalytics
-
AI needs faster data. We’re solving the bottleneck. Voltron Data + Accenture are tackling one of AI’s biggest challenges; moving and transforming massive datasets at scale. With Theseus, our GPU-accelerated SQL engine, enterprises can cut infrastructure costs and unlock 10x–100x faster analytics. Read more on VentureBeat: https://voda.do/5jim49 #AI #DataAnalytics #GPUComputing #Cloud #SQL #VoltronData #Accenture
-
🚀 Try Theseus: The Future of SQL on GPUs At Voltron Data, we’re building software to fully harness NVIDIA GPUs, high-performance networking, and storage to drive the cost of analytics as close to zero as possible. Today, we’re excited to introduce Theseus Test Drive; a free SQL editor that demonstrates the speed and cost-efficiency of running SQL on GPUs. 🔹 Run SQL queries on NVIDIA GPUs for free 🔹 Execute pre-written or custom queries on a 1TB TPC-H dataset 🔹 Experience heavy joins, sorts, and aggregations on accelerated infrastructure Running TB-scale analytics on traditional cloud infrastructure is costly and slow. Theseus reduces execution times to seconds, enabling analysts to iterate faster, refine insights, and dramatically cut costs. 👉 Read the blog here - https://voda.do/l0a974 #DataAnalytics #SQL #GPUComputing #BigData #CloudComputing #AI #VoltronData #AcceleratedAnalytics