Associated tags: Data, Ecosystem, Acceleration, SAN, Apache Arrow, Arrow, Ibis, Apache, Language isolate, Data science, API, Python, Microsoft, Meta, Video game
Locations: SAN FRANCISCO, ML, APACHE
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HPE SAN FRANCISCO, April 03, 2024 (GLOBE NEWSWIRE) -- Voltron Data , the company accelerating modular and composable data analytics systems, today announced that it has been named to the CB Insights AI 100 that showcases the 100 most promising private AI companies of 2024.
Key Points:
- SAN FRANCISCO, April 03, 2024 (GLOBE NEWSWIRE) -- Voltron Data , the company accelerating modular and composable data analytics systems, today announced that it has been named to the CB Insights AI 100 that showcases the 100 most promising private AI companies of 2024.
- 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 big tech companies at the forefront of it,” said Deepashri Varadharajan, director of AI research at CB Insights.
- “GPUs are ideal for the whole data pipeline, not just computationally hard things such as AI/ML,” said Josh Patterson, co-founder and CEO of Voltron Data.
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HPE “Voltron Data is playing an important role in bridging analytics and AI infrastructure usage in the Era of AI.
Key Points:
- “Voltron Data is playing an important role in bridging analytics and AI infrastructure usage in the Era of AI.
- “Theseus enables enterprises to use GPUs to quickly analyze log data, machine data and large amounts of tabular data generated on the fly – this is because GPUs are great at processing data, especially for data moving too fast to thoroughly index due to its sheer computational power.
- Theseus points to data where it lies and uses hardware accelerator's sheer computational power to analyze massive data as quickly as possible.
- HPE is the first partner to embed Theseus as its accelerated data processing engine as part of HPE Ezmeral Unified Analytics Software .
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Monday, February 12, 2024
“Finally developers can write code once and use it across local, batch, CPU, GPU and now real-time query engines.
Key Points:
- “Finally developers can write code once and use it across local, batch, CPU, GPU and now real-time query engines.
- Ibis is leading the charge to break down the barriers between batch and stream processing execution engines.
- Ibis is an independently governed open source project backed by Voltron Data and contributors across data platforms including Google, Starburst Data and RisingWave.
- The open source community can add Ibis ecosystem integrations to make working with data in Python better on any data platform Ibis supports,” said Zhenzhong “Z” Xu, vice president of engineering at Voltron Data.
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Wednesday, January 24, 2024
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Video game SAN FRANCISCO, Jan. 24, 2024 (GLOBE NEWSWIRE) -- Voltron Data , the company accelerating modular and composable data analytics systems, today announced that it has acquired Claypot AI, a real-time AI platform startup.
Key Points:
- SAN FRANCISCO, Jan. 24, 2024 (GLOBE NEWSWIRE) -- Voltron Data , the company accelerating modular and composable data analytics systems, today announced that it has acquired Claypot AI, a real-time AI platform startup.
- Voltron Data processes large batch workloads on GPUs today and will be incorporating Claypot AI's real-time capabilities on GPU.
- Organizations at the forefront of AI are constrained by data preprocessing on CPUs - ETL, feature engineering and transformation are key parts of AI/ML.
- They cannot ramp up AI capabilities efficiently because they cannot afford to build out big data CPU clusters fast enough.
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Video game Companies at the forefront of AI are constrained by data processing - ETL, feature engineering and transformation are key parts of AI/ML.
Key Points:
- Companies at the forefront of AI are constrained by data processing - ETL, feature engineering and transformation are key parts of AI/ML.
- They cannot ramp up AI capabilities efficiently because they cannot afford to build out big data CPU clusters fast enough.
- Data growth, analytical/application complexity and data movement will require organizations to rethink their data infrastructures when AI scale challenges and bottlenecks arrive.
- “Data processing and transformation is an emerging avenue for enterprises to improve the efficiency and flow of data for AI, ML and analytics workloads.
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Thursday, September 7, 2023
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Terrain park BOSTON, Sept. 7, 2023 /PRNewswire/ -- Starburst, the data lake analytics platform, today extended their support for the most widely used multi-purpose, high-level programming language – Python – with PyStarburst, and announced a new integration with the open source Python library Ibis, built in collaboration with composable data systems builder and Ibis maintainer Voltron Data.
Key Points:
- For Starburst and Trino developers and data engineers, this announcement means that they no longer need to offload data to frameworks like PySpark and Snowpark to handle complex transformation workloads.
- Instead, teams can leverage a single, powerful MPP engine for both their analytical and transformation workloads – reducing the cost and complexity of their stack.
- "Many data engineers prefer writing code over SQL for transformations, and many software engineers are used to building data applications in Python.
- You can move seamlessly from crunching gigabyte-scale test data on your laptop to crunching petabyte-scale data in production using Starburst Galaxy."
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Thursday, September 7, 2023
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Terrain park BOSTON, Sept. 7, 2023 /PRNewswire/ -- Starburst, the data lake analytics platform, today extended their support for the most widely used multi-purpose, high-level programming language – Python – with PyStarburst, and announced a new integration with the open source Python library Ibis, built in collaboration with composable data systems builder and Ibis maintainer Voltron Data.
Key Points:
- For Starburst and Trino developers and data engineers, this announcement means that they no longer need to offload data to frameworks like PySpark and Snowpark to handle complex transformation workloads.
- Instead, teams can leverage a single, powerful MPP engine for both their analytical and transformation workloads – reducing the cost and complexity of their stack.
- "Many data engineers prefer writing code over SQL for transformations, and many software engineers are used to building data applications in Python.
- You can move seamlessly from crunching gigabyte-scale test data on your laptop to crunching petabyte-scale data in production using Starburst Galaxy."
Retrieved on:
Thursday, January 5, 2023
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Arrow Key Points:
- “This year businesses and organizations have sought to leverage data and data analytics to obtain the visibility that will help them navigate rapidly changing business conditions.”
Voltron Data is committed to developing open source standards for data, unlocking the untapped potential in the data analytics industry.
- Through these standards, customers can interchange and process massive datasets between the applications and tools they already use and love.
- June: Voltron Data hosted The Data Thread conference to showcase the latest innovations around Apache Arrow and the Arrow ecosystem with speakers from more than 40 organizations.
- "Voltron Data is uniquely positioned to support large-scale enterprise and industry adoption of these open standards.”
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Python Write once, and let the systems underneath naturally evolve, said Rodrigo Aramburu, co-founder and CPO of Voltron Data.
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- Write once, and let the systems underneath naturally evolve, said Rodrigo Aramburu, co-founder and CPO of Voltron Data.
- In March of this year, Voltron Data released its Enterprise Support offering for Apache Arrow.
- The Voltron Data Enterprise Support is tailored to companies eager to future-proof their investment in building and running applications that depend on the Apache Arrow ecosystem.
- Voltron Data believes in building more bridges across the data science and analytics industry to accelerate the efficient development of data tools.
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Arrow Voltron Data is a world-class team developing the open source standards to drive faster and more accurate insights from data analytics ecosystems, said Chet Kapoor, DataStax chairman and CEO.
Key Points:
- Voltron Data is a world-class team developing the open source standards to drive faster and more accurate insights from data analytics ecosystems, said Chet Kapoor, DataStax chairman and CEO.
- As part of the partnership, Voltron Data and DataStax are bridging the Cassandra and Arrow ecosystems to accelerate real-time applications.
- Together, Voltron Data and DataStax are committed to serving customers and the community with an open data stack for real-time applications.
- Voltron Data believes in building more bridges across the data science and analytics industry to accelerate the efficient development of data tools.
