Vexata

Vexata

Vexata powers todays cognitive era applications driving predictive analytics and autonomous decisions. Discover how Vexata's Scalable NVMe Flash Storage unlocks the full potential of today's advanced solid-state media to lower the TCO of your data center infrastructure.

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Edits on 6 Oct, 2020
Golden AI"Funding autocalculation"
Golden AI edited on 6 Oct, 2020
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Latest funding round date
September 2017
Edits on 17 Jul, 2020
Golden AI"Funding autocalculation"
Golden AI edited on 17 Jul, 2020
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Total funding amount (USD)
54,000,000
Edits on 20 Feb, 2020
Golden AI"Adding location topic from lookup San Jose, CA"
Golden AI edited on 20 Feb, 2020
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Location
San Jose, California
Edits on 28 Jan, 2020
Dawson Sewell"Approved suggestion #716860"
Dawson Sewell edited on 28 Jan, 2020
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Industry
Data infrastructure
Edits on 20 Nov, 2019
Golden AI
Golden AI edited on 20 Nov, 2019
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Investors
Redline Capital Management
Edits on 20 Sep, 2019
Julius John Villarisco
Julius John Villarisco approved a suggestion from Golden's AI on 20 Sep, 2019
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What's required is a shared data platform that delivers hot tier performance at Cloud scale and economics. Vexata's Accelerated Data Architecture achieves unparalleled throughput at ultra-low latency for the highly parallel, random, mixed read/write data patterns that characterize Cognitive/AI applications. This 3-stage software architecturesoftware architecture delivers unmatched performance and efficiency across massive data sets without relying on caching or tiering.

Julius John Villarisco
Julius John Villarisco approved a suggestion from Golden's AI on 20 Sep, 2019
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Cognitive/AI applications operate across large data sets to detect, learn, decide and respond autonomously. Advances in CPU, GPU and FPGAFPGA co-processors are dramatically increasing performance while reducing the cost of Cognitive/AI computing. Unfortunately, data performance at scale has not kept pace with these compute advances and is fundamentally limiting application performance.

Edits on 19 Sep, 2019
Julius John Villarisco
Julius John Villarisco approved a suggestion from Golden's AI on 19 Sep, 2019
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Article (+5/-5 characters)
Article

What's required is a shared data platform that delivers hot tier performance at CloudCloud scale and economics. Vexata's Accelerated Data Architecture achieves unparalleled throughput at ultra-low latency for the highly parallel, random, mixed read/write data patterns that characterize Cognitive/AI applications. This 3-stage software architecture delivers unmatched performance and efficiency across massive data sets without relying on caching or tiering.

Julius John Villarisco
Julius John Villarisco approved a suggestion from Golden's AI on 19 Sep, 2019
Edits made to:
Article (+9/-9 characters)
Article

Cognitive/AI applications operate across large data setsdata sets to detect, learn, decide and respond autonomously. Advances in CPU, GPU and FPGA co-processors are dramatically increasing performance while reducing the cost of Cognitive/AI computing. Unfortunately, data performance at scale has not kept pace with these compute advances and is fundamentally limiting application performance.

Julius John Villarisco"Approved suggestion from source: https://twitter.com/vexatacorp"
Julius John Villarisco approved a suggestion from Golden's AI on 18 Sep, 2019
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Vexata

Vexata powers todays cognitive era applications driving predictive analytics and autonomous decisions. Discover how Vexata's Scalable NVMe Flash Storage unlocks the full potential of today's advanced solid-state media to lower the TCO of your data center infrastructure.

Golden AI
Golden AI edited on 18 Sep, 2019
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Funding rounds
Vexata funding round, September 2017
Edita Rexha
Edita Rexha edited on 18 Sep, 2019
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Description (+270 characters)
Article (+1355 characters)
Topic thumbnail

Vexata

Vexata powers todays cognitive era applications driving predictive analytics and autonomous decisions. Discover how Vexata's Scalable NVMe Flash Storage unlocks the full potential of today's advanced solid-state media to lower the TCO of your data center infrastructure.

Article

Cognitive/AI applications operate across large data sets to detect, learn, decide and respond autonomously. Advances in CPU, GPU and FPGA co-processors are dramatically increasing performance while reducing the cost of Cognitive/AI computing. Unfortunately, data performance at scale has not kept pace with these compute advances and is fundamentally limiting application performance.

What's required is a shared data platform that delivers hot tier performance at Cloud scale and economics. Vexata's Accelerated Data Architecture achieves unparalleled throughput at ultra-low latency for the highly parallel, random, mixed read/write data patterns that characterize Cognitive/AI applications. This 3-stage software architecture delivers unmatched performance and efficiency across massive data sets without relying on caching or tiering.

VX-OS, at the core of Vexata's Accelerated Data Architecture consists of 3 primary architectural elements:

...

VX-OS runs as a distributed software architecture within the VX-100 and VX-Cloud hardware subsystems to deliver unmatched performance with ultra-low latency. Together, this powerful, efficient system supports highly parallel, random, mixed R/W data patterns that characterize Cognitive/AI applications. Vexata achieves this transformative performance across large data sets without relying on caching or tiering.

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Edita Rexha"Initial creation data"
Edita Rexha edited on 18 Sep, 2019
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Edita Rexha created this topic on 18 Sep, 2019
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 Vexata

Vexata powers todays cognitive era applications driving predictive analytics and autonomous decisions. Discover how Vexata's Scalable NVMe Flash Storage unlocks the full potential of today's advanced solid-state media to lower the TCO of your data center infrastructure.

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