SAN FRANCISCO, April 03, 2024 (GLOBE NEWSWIRE) — Voltron Data, a modular and composable data analytics systems accelerator, today announced that it has been named to the CB Insights AI 100, the 100 most intelligent private AI showcases companies. Voltron Data is the only company honored in the Accelerated Computing category: https://www.cbinsights.com/learn/ai-100-2024.
“AI is taking off at lightning speed, and it’s not just the big tech companies that are at the forefront,” said Deepashree Vardharajan, director of AI research at CB Insights. “Our AI 100 winners — many of them early-stage startups, some with very small teams — are pushing the boundaries of AI in everything from game development and battery design to agent AI systems.”
Last December, Voltron Data launched Thesis, the industry’s first accelerator-native distributed query engine with state-of-the-art hardware and software for Spark to solve massive and time-sensitive data challenges. Ware is designed to take advantage of innovations. Today Thesis is used by enterprises and government agencies facing the biggest data challenges, and HPE is the first partner to use Thesis as part of HPE Ezmeral Unified Analytics software for its high-speed Embedded as a data processing engine.
Thesis is built from the ground up to help organizations take advantage of GPUs and full-system hardware accelerators such as high-bandwidth memory, accelerated networking and storage. Thesis points to data where it exists and uses the sheer computational power of hardware accelerators to analyze big data in seconds instead of hours. Because Thesis enables data processing on the GPU, organizations can now run data analytics and AI/ML pipelines on the same infrastructure – while reducing vendor lock-in risk, energy consumption and data center impact.
Last month at NVIDIA GTC, Voltron Data announced that it has significantly improved GPU memory spill-out in Thesis, making it the first petabyte-scale query engine for large-scale data processing. Today it takes enterprises hours to days to digest petabytes of data for analytics, and now queries can be run directly on unused data in seconds and minutes. This opens up a whole new class of use cases for organizations constrained by CPU-based data systems.
“GPUs are ideal for the entire data pipeline, not just computationally intensive things like AI/ML,” said Josh Peterson, co-founder and CEO of Voltron Data. “Theseus enables organizations to take full advantage of GPUs for data processing at scale, regardless of industry, use case or where data systems are deployed – on-premises, air-gapped or in the cloud.”
About the Voltron data
Voltron Data offers a new way to design and build composable data systems for enterprises and government agencies. For more information on Voltron Data, simply visit https://voltrondata.com or follow @VoltronData.
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