Company growth fueled by enterprise adoption of high-performance storage for machine learning and data analytics across multiple industries

CAMPBELL, CA – January 28, 2020 — /BackupReview.info/ — WekaIO™ (Weka), the innovation leader in high-performance, scalable file storage for data-intensive applications, today announced it closed its 2019 fiscal year with record velocity in revenues. The company grew revenue by 600% compared to 2018 with growth fueled by increasing adoption of NVMe-native storage systems to enable I/O-intensive applications in Artificial Intelligence (AI), life sciences, and financial analysis. This announcement comes in the wake of last year’s $31.7 million Series C funding round and the addition of key hires in strategic positions such as chief financial officer, and head of AI and strategic alliances.

“We are solving big problems for our customers and filling a gap in technology solutions for our partners, and thus Weka’s momentum is like a bullet. Our tremendous growth last year was fueled by several multi-million dollar deals for large infrastructure modernization projects, and I am honored that these organizations see the value of Weka to enable their datacenter transformation. Our channel-first strategy focuses on vertical markets where we see massive adoption by corporations, and where legacy storage systems are failing to offer competitive advantages in machine learning, FSI analytics, and precision medicine,” said Liran Zvibel, co-founder and CEO at WekaIO. “We are the only tier-1, enterprise-grade storage solution capable of delivering epic performance at any scale on premises and on the public cloud, and we will continue to fuel our momentum by hiring for key positions and identifying strategic partnerships.”

Weka is 100% channel-focused, the WekaIO Innovation Network™ (WIN), a global partner program launched last year, enables partners to grow their top line by generating recurring revenue for performance intensive use cases, as well as expand their practices and competencies. WIN grew to 67 partners in 2019, a 120% growth rate. In addition, the company announced major technology innovations with partners such as Supermicro, Dell EMC, HPE, and NVIDIA.

“There is only one company that delivers unmatched performance at scale for the enterprise, enabling today’s IO-intensive applications, and that’s Weka,” said Kevin Mullin, vice president of business development at A-TRAC, a WIN Leader partner. “Not only does it deliver great performance, but it offers all the mandatory features common in enterprise storage solutions such as encryption, user authentication, backup and disaster recovery, Windows support, and cloud-bursting.”

The Weka File System (WekaFS™) was architected to accelerate I/O to CPU and GPU-enabled compute clusters whether the data resides on-premises or in the public cloud, or a hybrid of both. WekaFS empowers customers to realize more value out of their compute resources providing a full enterprise grade solution with the all the features found in legacy appliances, while future-proofing their IT investments with advanced security and full cloud integration.

Customers ranging from Fortune 100 to startups in AI such as Genomics England, TGEN, TuSimple, Baylor University, Innoviz, Mellanox, Tre Altamira, and Untold Studios are using Weka storage software in private datacenters or in the public cloud to accelerate time to results for their high-performance applications.

“The Genomics England cluster required a new solution to allow scaling of the company’s DNA data bank in line with the anticipated five-year growth. Already at 25 petabytes, our legacy storage system had already reached its limit and performance had deteriorated,” said David Ardley, director of technology at Genomics England. “We needed a modern storage solution that could scale to 100s petabytes while maintaining performance scaling, and it had to be simple to manage at that scale. With its clever combination of flash for performance and object store for scale, Weka has proven to be a great solution.”

Company highlights from 2019:

  • 600% growth in company revenue
  • 500% growth in customers with AI, ML, and HPC use cases
  • 300% growth in AWS storage, topping 100PB in 2019
  • 120% growth in partners with AI, ML, and HPC competency
  • Major platform innovation announcements with OEM partners
  • Awards: AI Excellence Award, CIOReview’s 100 Most Promising Tech Startups, CRN Women of the Channel, AI Breakthrough Award, HPE Momentum Technology Partner of the Year, CRN Emerging Datacenter Vendor, and CRN Tech Innovator Award – Data Center Infrastructure
  • Industry benchmark performance records: IO-500, SPEC SFS, and STAC-M3

Weka is officially the fastest file system in the world, beating the largest supercomputers to gain the first-place ranking in the IO-500 Challenge, announced at Supercomputing 2019, in Denver, Colo. The IO-500 Challenge compares storage systems that work in tandem with the world’s largest supercomputers. WekaFS set a record with a 51% better performance score than the prior record set at International Supercomputing Conference 2019, Frankfurt, Germany. WekaIO has been awarded sixteen patents, with more than forty patents pending.

To find a reseller in the WekaIO Innovation Network, a global partner program, go to https://www.weka.io/partners/

About WekaIO
WekaIO offers the world’s fastest shared parallel file system, WekaFS, which leapfrogs legacy storage infrastructures by delivering unmatched performance at scale at a fraction of the cost. Weka helps tackle the most demanding storage performance challenges in data-intensive technical computing environments so that customers can solve real problems that positively impact the world. Optimized for NVMe flash and hybrid cloud, WekaFS accelerates time-to-insight from mountains of data and helps customers get the most out of their high-powered IT investments.

Follow WekaIO: Twitter, LinkedIn, and Facebook

WekaIO, WekaFS, and the WekaIO logo are trademarks of WekaIO, Inc.

Contact:
Waters Communications
Sarah Shkargi
sarah@waterscomms.com

Source: WekaIO

 

 

 

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