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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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TimelineTable: Funding RoundsTable: ProductsTable: AcquisitionsTable: SBIR/STTR AwardsTable: PatentsTable: Further ResourcesReferences
vexata.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
‌
Data infrastructure
Analytics
Analytics
Location
San Jose, California
San Jose, California
B2X
B2B
B2B
CEO
John Vrionis
John Vrionis
Pitchbook URL
pitchbook.com/profiles...122869-81
Number of Employees (Ranges)
51 – 200
Full Address
San Jose, CA, US
Investors
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Mayfield Fund
Mayfield Fund
Lightspeed India Partners
Lightspeed India Partners
Redline Capital Management
Redline Capital Management
Intel Capital
Intel Capital
Total Funding Amount (USD)
54,000,000
Latest Funding Round Date
September 2017

Other attributes

Company Operating Status
Active
Funding Round Investor
Lightspeed Venture Partners
Lightspeed Venture Partners
Public/Private
Private

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.

Timeline

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Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

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References

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