Displaying items by tag: AI

In an exclusive pre-event interview with VMblog, Manveer Sahota, Sr. Director of Product Marketing at Starburst, offers a compelling preview of the company's cutting-edge data platform strategies for AWS re:Invent 2024.

Starburst is set to showcase its Open Hybrid Lakehouse platform, Starburst Galaxy, which promises to revolutionize data analytics by addressing critical challenges facing enterprises in 2024, including rising cloud costs, data silos, and the accelerating demand for AI-driven insights.

Published in AWS:ReInvent 2024
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As AWS re:Invent 2024 approaches, Sumo Logic is preparing to showcase its cutting-edge AI-driven cloud observability and security platform.

In this exclusive VMblog Q&A, Bill Peterson, Senior Director of Product Marketing at Sumo Logic, reveals the company's strategic focus on empowering DevSecOps teams with innovative solutions that transform complex digital environments. With a mission to make the digital world faster, more reliable, and secure, Sumo Logic is set to demonstrate how its AI-powered SaaS Log Analytics Platform can help organizations unify enterprise data, generate actionable insights, and overcome the challenges of modern cloud infrastructure.

Published in AWS:ReInvent 2024

As AWS re:Invent 2024 approaches, Cohesity is preparing to showcase its cutting-edge AI-powered data security solutions.

In an exclusive interview with VMblog, Nikitha Omkar, Product Marketing Manager at Cohesity, reveals the company's latest innovations in cyber resilience, cloud data management, and AI-driven insights.

With a Diamond sponsorship and multiple speaking sessions planned, Cohesity is set to demonstrate how organizations can protect, manage, and derive value from their data across hybrid and multi-cloud environments. 

Published in AWS:ReInvent 2024
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As organizations increasingly invest in GPU infrastructure for AI and HPC workloads, the challenge of data throughput bottlenecks has become more pressing than ever.

In this exclusive VMblog interview, Roger Cummings, CEO at PEAK:AIO, discusses how his company is transforming commodity hardware into ultra-fast AI data servers, enabling organizations to maximize their GPU investments without the burden of expensive legacy storage systems.

Ahead of SC24, Cummings reveals how PEAK:AIO's software-defined approach delivers market-leading speed from a single node while prioritizing cost-effectiveness and sustainability - a crucial consideration as the industry grapples with growing GPU demands in terms of both performance and power consumption.

Published in SC24

Ahead of the highly anticipated SC24 supercomputing conference in Atlanta, VMblog sat down with Gal Naor, CEO and Co-Founder of StorONE, to get an insider's look at how the company's groundbreaking storage platform is poised to revolutionize the high-performance computing (HPC) and artificial intelligence (AI) landscapes.

In this exclusive Q&A, Naor shares how StorONE's unified, software-defined storage solution addresses critical industry challenges around data accessibility, cost-effectiveness, and energy efficiency - all while delivering the performance and versatility required by today's most demanding workloads. As the convergence of HPC and AI continues to reshape the supercomputing industry, Naor outlines StorONE's unique approach to bridging these two powerful domains and provides a glimpse into the innovative capabilities they'll be showcasing at SC24.

Attendees looking to gain a competitive edge would be wise to visit StorONE at Booth #731 and discover firsthand how this pioneering technology can transform their HPC and AI initiatives.

Published in SC24

Ahead of SC24 (Supercomputing 2024), VMblog spoke with Krishna Subramanian, COO and Co-founder of Komprise, about how organizations are tackling petabyte-scale unstructured data management challenges.

As enterprises increasingly adopt high-performance computing (HPC) and AI initiatives, they face mounting storage costs and data management complexity. Komprise, making its booth debut at SC24 (#414), offers solutions that not only promise 70% storage cost reductions but also help organizations optimize their data for AI workflows through intelligent tiering, tagging, and lifecycle management.

In this exclusive Q&A, Subramanian discusses how Komprise's platform helps enterprises understand and manage their data across storage silos while preparing for the AI-driven future.

Published in SC24
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As high-performance computing (HPC) converges with AI workloads, storage performance becomes increasingly critical for enterprise success. Ahead of SC24, VMblog spoke with Tom Paquette, SVP & General Manager at Graid Technology, about how the company's groundbreaking SupremeRAID™ technology - the world's first GPU-based RAID solution - is transforming storage capabilities for AI and HPC environments.

The company, which has forged strategic partnerships with industry leaders like Supermicro, NVIDIA, and TD SYNNEX, has developed a unique approach to eliminating traditional RAID bottlenecks, enabling organizations to fully harness the performance potential of their NVMe SSDs while maintaining data protection. As enterprises grapple with the demands of AI/ML workloads and the rise of AI supercomputers, Paquette shares insights on how Graid's innovative technology is addressing critical challenges in data movement and storage performance.

Published in SC24

As KubeCon + CloudNativeCon 2024 approaches, GitLab is preparing to showcase its comprehensive AI-powered DevSecOps platform, offering developers and platform engineers a unified solution for streamlining software development, security, and deployment.

In an exclusive interview with VMblog, Daniel Helfand, a developer advocate at GitLab, shared critical insights into the company's innovative approach to solving modern software development challenges, highlighting emerging trends in cloud-native technologies, AI integration, and developer productivity.

As enterprises race to modernize their infrastructure and embrace AI initiatives, many platform engineering teams find themselves caught in a cycle of trial-and-error approaches that lead to redundant tooling and wasted resources.

In an exclusive interview with VMblog ahead of KubeCon + CloudNativeConRafay Systems CEO Haseeb Budhani discusses how a systematic, design-first approach to platform engineering can help organizations better serve their developers and data scientists while managing cloud costs and complexity. With recent research showing that 93% of companies struggle with Kubernetes management, Budhani explains how Rafay's SaaS-first platform is helping enterprises deliver PaaS experiences that streamline cloud-native and AI infrastructure adoption across public and private clouds.

Find out more about the company, their technology, and their plans for the upcoming KubeCon event in this VMblog Q&A.

As KubeCon + CloudNativeCon 2024 approaches, VMblog sat down with Kevin Cochrane, CMO, Vultr, the largest privately-held cloud computing platform serving 1.5 million customers across 185 countries. With a growing focus on AI-native applications and enterprise-level solutions, Vultr is positioning itself as the leading alternative to traditional hyperscalers. The company's recent expansion of its Serverless Inference platform and Vultr Kubernetes Engine (VKE) demonstrates its commitment to helping organizations deploy and scale AI models globally while simplifying Kubernetes management.

In this exclusive Q&A, we explore how Vultr is addressing the challenges of AI model deployment, offering cost-effective alternatives to OpenAI, and leveraging its extensive network of 32 cloud data centers to deliver high-performance computing resources at the edge.

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