DataPelago’s Post

As GenAI floods organizations with an endless barrage of data, organizations face the challenge of processing this information in order to unlock breakthrough intelligence and innovation. Traditional processing solutions based on CPUs and today's software architectures cannot handle the complexity and volume of data — which is doubling every two years — with unstructured data now accounting for 90% of all data created. Today, DataPelago emerged from stealth with $47M in funding and has unveiled the first universal data processing engine to enable organizations to extract value from data at unprecedented price and performance for their GenAI and analytics workloads. DataPelago's universal data processing engine represents a paradigm shift that will unlock new possibilities in the worlds of supply chain, sustainable energy, the medical field, and beyond. More on today's news from SiliconANGLE & theCUBE: https://bit.ly/4gG5hIy   Congratulations Rajan Goyal and the entire DataPelago team!

oneDAL, part of the #oneAPI specification under the #UXLFoundation, continues to lead the way in enabling efficient AI solutions. In this blog, see how porting oneDAL to the Arm architecture for Fujitsu's Monaka, unlocks new performance levels for accelerated AI workloads. This milestone reflects our commitment to advancing cutting-edge technologies that empower innovation. Discover the full story of this achievement: https://bit.ly/3ZhZalY

NVIDIA's core DC business reports a record 112% YoY increase in profit and overall 94% YoY increase. All this without mass adoption of #RAG. A term only coined 4 years ago - and the true key for Enterprise #AI value. #NeMo in part makes that happen, but so does getting the absolute most out of a platform investment approach to make that happen - from data, to database, through to LLM. For AI with NVIDIA, #superpod and #basepod certification give you validated, reference architectures to extract the most performance out of your pipelines. https://lnkd.in/g39MbZKg

At ZestyAI, innovation isn't just a buzzword—it's how we tackle challenges head-on. Our engineering team recently faced a massive scaling challenge: delivering real-time insights to our clients while managing a growing catalog of machine learning models. The solution? A bold architectural overhaul featuring NVIDIA’s Triton Inference Server and our game-changing “Monster Pod.” The result was halved API response times and a 10x system boost. Beyond the technical triumphs, it’s a story of rethinking the status quo and unlocking efficiencies that empower us to grow alongside customer demand. Curious about how we made it happen? Read the full blog by our VP of Engineering, Andrew Merski, for a behind-the-scenes look. 👉 https://bit.ly/4gBtpLs

There are so many exciting announcements here during our Data + AI Summit. But this one stood out to me as the long tail of GenAI performance challenges start to take center stage: During #DataAISumit, Databricks announced an expanded collaboration with NVIDIA. Together, both companies will optimize data and AI workloads by bringing NVIDIA CUDA-accelerated computing to the core of Databricks’ Data Intelligence Platform.

Exciting News from Cloudbox99! In today’s fast-paced digital world, GPU servers are transforming industries by offering the power needed for AI, deep learning, rendering, and high-performance computing. At Cloudbox99, we understand the critical role of affordable and efficient GPU servers in driving innovation and growth for businesses. That’s why we’re thrilled to announce that affordable GPU servers are coming soon! With our cutting-edge GPU server solutions, you can expect: * Enhanced performance for complex workloads * Scalable resources tailored to your needs * Competitive pricing to fuel your success * 24/7 support to keep you focused on what matters Stay tuned as we take your computing to the next level!! #Cloudbox99 #GPUServers #Innovation #TechSolutions #ComingSoon #AI #DeepLearning #HighPerformanceComputing #CloudHosting #AffordableSolutions #BusinessGrowth #ITInfrastructure #CloudTechnology #FutureIsNow #DigitalTransformation #TechSupport

With over 20 years of experience building accelerated computing solutions across domains, such as security, data movement, and data storage, DataPelago CEO and Co-Founder Rajan Goyal has assembled a world-class team with decades of expertise across system, architecture, data analytics, cloud SaaS, open source development, and more to rethink data processing in today's AI-driven world. Today, the company came out of stealth with $47M in funding and introduced the first universal data processing engine and ultimately, is creating a new data processing standard for the accelerated computing era to overcome performance, cost, and scalability limitations. By enabling data to be extracted as quickly as it's generated, businesses will have the ability to harness insights to make better decisions and operate more efficiently, unlocking new possibilities in critical industries like supply chain, healthcare, energy, and more. https://bit.ly/4gG5hIy   Congratulations Rajan Goyal and DataPelago team!

This is BIG !!! Customers can execute workloads faster on Databricks !!! During #DataAISumit, Databricks announced an expanded collaboration with NVIDIA. Together, both companies will optimize data and AI workloads by bringing NVIDIA CUDA-accelerated computing to the core of Databricks’ Data Intelligence Platform.

Sequoia Capital is saying there needs to be $600b in AI-related revenue to justify the investment made in GPUs and other AI-related infrastructure. OpenAI makes up the bulk of AI spend and is only at $3.4b(!) This feels a lot like the .com crash from 25 years ago. Emerging new technology (internet in that case), dramatic over-investment (from telcos in building out infrastructure), inevitable crash as real-world adoption lags investment (.com crash), inevitable naysayers saying it was all just a fad, followed by decades of growth and investment. https://lnkd.in/gM8sUJig

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