Partner with the best! 🤝 Our customers commend #WEKA's top-notch support team for consistently delivering exceptional value and quality. 👏 Read the ★ ★ ★ ★ ★ review by the Head of Technical Programmes of a leading healthcare & biotech firm: https://weka.ly/3ysxMYU Discover more about the advantages of the WEKA #dataplatform: https://weka.ly/3WtrSi9
WEKA
Software Development
Campbell, California 20,768 followers
The Data Platform for AI & Performance-Intensive Workloads
About us
WEKA helps data-driven organizations seamlessly and sustainably store, process, and manage data virtually anywhere with cloud simplicity and on-prem performance. Our software-defined, cloud-native data platform turns stagnant data silos into streaming data pipelines that fuel next-generation workloads like AI and HPC.
- Website
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http://www.weka.io
External link for WEKA
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Campbell, California
- Type
- Privately Held
- Founded
- 2013
- Specialties
- High-Performance Computing, Machine Learning, Analytics, Genomics, Artificial Intelligence, Data Management, Data Pipelines, Data Acceleration, Hybrid Cloud, Data Platform, Storage Software, Containers, Cloud, Multicloud, Generative AI, Cloud Storage, and GPU Acceleration
Locations
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Primary
910 East Hamilton Ave
SUITE 430
Campbell, California 95008, US
Employees at WEKA
Updates
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🎙️ WEKA CEO Liran Zvibel and Valor Equity Partners' Antonio Gracias joined This Week in Startups with Host Jason Calacanis to talk about the genesis of the #WEKA #DataPlatform, some ambitious real-life customer applications of WEKA's tech, and what’s next for the #AI industry. Check out the full conversation: https://weka.ly/4dod1wt #startups #investing #aiinfrastructure #aistorage
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Get the CTO perspective 💬 on future-proofing #GPU #cloud infrastructure. Join our exclusive webinar on August 28, with Shimon Ben-David, CTO of #WEKA, Mike Maniscalco, CTO, Applied Digital (NASDAQ: APLD) and Frederic Van Haren, CTO, HighFens Inc., as they unveil strategies to meet tomorrow’s #AI and #HPC workload demands. 📌 Register now: https://weka.ly/46prndH
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Shimon Ben-David, #WEKA's CTO and spinning-disk-eradicator, recently joined Six Five Media with David Nicholson and Alastair Cooke for a conversation on how WEKA’s tech is keeping pace with the rapidly evolving demands of today’s #AI workloads. Get up to speed on their full conversation 👉 https://weka.ly/3StHpxA #TheSixFiveMedia
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🤔 Why pay more for #cloud storage? Instantly find out how much you can save on monthly cloud storage costs using #WEKA's Cloud Savings Calculator. Try it out 👉 https://weka.ly/4frhpg4
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It’s no secret that #WEKA drives performance and scalability in the training phase of #AI data pipelines. But we’re also transforming #inference operations, making them faster, more efficient, and future-proof. And speaking of proof, see how a well-known #LLM provider found new levels of efficiency in our latest solution brief: https://weka.ly/3SeCr7F
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Simplify 📈 scaling for your #HPC storage needs with the #WEKA data platform, with zero tuning required to handle mixed workloads. This 💡info-packed listicle shares the solutions to transform your #data strategy: https://weka.ly/3A31GU7 #dataplatform #winwithWEKA #AI #datastorage #datamanagement
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WEKA's advanced checkpointing feature is transforming #AI pipelines with 📈unmatched SPEED and RESILIENCE for #GenAI workflows. 🚀 Dive into our #whitepaper to see how #WEKA minimizes #GPU downtime and accelerates #LLM training ⬇️⬇️ https://weka.ly/46lJeCp #winwithWEKA #checkpointing #generativeai #artificialintelligence #dataplatform
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The verdict is out! Our customer says the #WEKA data platform is an "Excellent product" with an amazing support team! Read the full review by their sales team👇 https://weka.ly/3LtLfT9 Explore 🔗 how WEKA's #AI-native data platform can help: https://weka.ly/3Yffg0V #winwithWEKA #enterpriseai #datamanagement #dataplatform
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🤓 Let's all geek out together... The NVIDIA DGX #SuperPOD along with the #WEKA #DataPlatform provides a high-performance #AI supercomputing infrastructure, enabling rapid deep learning model training and supporting diverse DL workloads with ease of management and scalability. Download the new Reference Architecture: https://weka.ly/4fnzVpq
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