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Dynamic and innovative IT management professional with proven success designing and…
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Jack Vaughan reposted thisJack Vaughan reposted thisWhen data pipelines suffer from 12-hour latencies, business intelligence can only report on the past and not influence the present. Managed service provider Evodian eliminated this barrier by shifting from public cloud data warehouses to an in-house data lakehouse powered by the VAST AI OS. Utilizing the transactional VAST DataBase and VAST's Disaggregated Shared-Everything (DASE) architecture, they accelerated ingestion performance from 10,000 to over 1,000,000 rows per second. The result is a unified multi-tenant environment that enables self-service, search-driven analytics from the factory floor to the purchasing department in near real-time.
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Jack Vaughan reposted thisJack Vaughan reposted this1,100+ data centers. One global namespace. One operational fabric for distributed AI. As enterprises move AI into production, pipelines can no longer be confined to a single data center, cloud region or infrastructure layer. Networking, compute and data have to operate together – or teams face fragmented governance, unnecessary data movement and slower paths to real-time execution. Megaport has selected the VAST AI Operating System to help power the next phase of its global automated platform, bringing enterprise-grade data services into Megaport’s programmable network fabric and Latitude.sh’s automated bare-metal GPU infrastructure. Through the VAST DataSpace, organizations can unify data access across on-premises environments, public clouds, neoclouds and edge locations within one global namespace – reducing data movement, simplifying governance and keeping AI pipelines connected wherever compute runs.
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Jack Vaughan reposted thisJack Vaughan reposted thisOne of Europe's largest NVIDIA GB300 NVL72 deployments is coming online, and Mistral AI has adopted the VAST AI Operating System as part of its data foundation. Production AI requires infrastructure designed as a system from the start, spanning energy, silicon, compute, storage, models, and applications. General-purpose cloud capacity assembled after the fact will not close the gap. That's the blueprint behind this build: 🚀 Accelerated compute from NVIDIA 🚀 Frontier models from Mistral 🚀 The unified AI data platform from VAST More on the partnership: https://lnkd.in/gwK93HsT
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Jack Vaughan shared thisVAST Data announced our Series F today. What’s exciting is how the architecture is holding up at scale. Supporting environments with massive GPU footprints requires rethinking how data is accessed and shared. Proud to be working on those challenges.
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Jack Vaughan reposted thisJack Vaughan reposted thisToday, VAST Data announced our Series F at a $30 billion valuation. This milestone reflects accelerating demand for a new data infrastructure stack purpose-built for AI. AI systems are becoming continuous, distributed, and data-intensive, driving a shift in how organizations access, share, and operate on data across environments. The VAST AI Operating System provides a unified platform to support these requirements at scale: https://lnkd.in/g56cNnXa
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Jack Vaughan reposted thisJack Vaughan reposted thisOld infrastructure does not apply to where VAST is going. For the last decade, VAST Data has been on a mission to build systems that engage with the natural world. In his latest keynote, Co-founder Jeff Denworth explains why the scope of this challenge has no parallel and why VAST is positioned as the "innovation engine" sitting between applications, infrastructure, and services. The Roadmap: 🚀 CNode-X: The world's first CUDA-accelerated AI data infrastructure 🚀 Polaris: Unified multi-cloud orchestration and lifecycle management 🚀 The Thinking Machine: Integrating DataEngine, PolicyEngine, and TuningEngine for autonomous AI agents Watch the full keynote to see the next chapter of the AI OS: https://lnkd.in/gmdvyrvg
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Jack Vaughan reposted thisJack Vaughan reposted thisThrowing it back to CES 2026 with VAST Data + NVIDIA ⏪ "So you have data that comes in and intelligence that comes out." Renen Hallak, CEO of VAST Data + Kevin Deierling, SVP of Networking of NVIDIA talk years of partnership, AI and its new industrial revolution, NVIDIA's compute capabilities, and VAST Data's infrastructure that has all of this great storage.
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Jack Vaughan reposted thisJack Vaughan reposted thisThe AI OS is on display at #NVIDIAGTC. Visit VAST Data at booth #1007 to engage with live technical demos, customize VAST apparel at the hat bar, and enter the NVIDIA DGX Spark® sweepstakes. Experience the AI OS blueprint in action all week 🚀
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Jack Vaughan reposted thisJack Vaughan reposted thisMeet VAST Data at #NVIDIAGTC and see how the VAST AI OS accelerates inference and maximizes GPU efficiency. When you stop by booth #1007 you'll be entered to win an NVIDIA DGX Spark™
Jack Vaughan commented on a post
1mo
Great to see Evodian’s success with the VAST AI OS! They eliminated their legacy cloud data warehouse and Kafka clusters, going from a painful 12-hour latency lag to real-time analytics in a unified lakehouse.
#VASTData
Jack Vaughan commented on a post
1mo
Exciting milestone. Like building a highway system where data, compute, and networking finally share the same map instead of separate, outdated GPS units fighting for the same route.
This global namespace and programmable fabric approach eliminates the constant data shuffling tax that's been slowing production AI. Congrats to the teams making distributed inference feel as seamless as local, real progress toward AI that actually scales without the usual friction.
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Jack Vaughan liked thisToday, we are thrilled to announce Baseten’s $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital, co-led by Sands Capital and Wellington Management, with participation from Battery Ventures, Blackbird, D.E. Shaw Ventures, Durable Capital Partners, Greylock Partners, IVP, Verified Capital, and 01A. This is our fourth fundraise in 18 months, and we are grateful for our investors’ conviction and support and, most importantly, for the trust and partnership of our customers. Over the last year, our revenue has grown 20x, and inference volume has grown 40x. This growth reflects the new market reality: inference is the most important layer in the AI stack, and Baseten has become the partner of choice for companies looking for support with inference and post-training. We are proud to work closely with the teams defining this era, including Cursor, Notion, Lovable, Harvey, HubSpot, OpenEvidence, Abridge, Decagon, Parallel, and many more. These companies have built products where intelligence is core to the user experience, and their businesses are booming. They are also at the forefront of a wave of companies that are more motivated than ever to own their intelligence. As Satya Nadella shared last week, durable advantage will come from the learning systems companies build around their own data, judgment, workflows, and feedback loops. We see the same thing every day - our customers are building systems shaped by proprietary data, evals, domain-specific harnesses, post-training, and custom RL environments. The opportunity ahead has never been so apparent: open-weight models have become strong enough that enterprises can now use them as serious alternatives to closed APIs. Baseten’s work is to help companies take advantage of this progress with confidence. Our researchers and engineers embed with our customers, post-train and optimize specialized models, and serve those models with exceptional latency, reliability, observability, and cost at production scale. This financing allows us to invest aggressively in the compute, software, and talent required to support our customers as AI becomes central to their products and businesses. If you want to post-train custom models and run inference on the fastest, most reliable platform, we’d love to help. If you want to build the infrastructure layer of AI, we are hiring.
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Jack Vaughan liked thisJack Vaughan liked thisOne of Europe's largest NVIDIA GB300 NVL72 deployments is coming online, and Mistral AI has adopted the VAST AI Operating System as part of its data foundation. Production AI requires infrastructure designed as a system from the start, spanning energy, silicon, compute, storage, models, and applications. General-purpose cloud capacity assembled after the fact will not close the gap. That's the blueprint behind this build: 🚀 Accelerated compute from NVIDIA 🚀 Frontier models from Mistral 🚀 The unified AI data platform from VAST More on the partnership: https://lnkd.in/gwK93HsT
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Jack Vaughan liked thisJack Vaughan liked thisToday, VAST Data is announcing our Series F at a $30B valuation. This is an important milestone, but more importantly, it reflects what our team has built, a new foundation for AI infrastructure. AI is reshaping the stack. It requires always on systems and ubiquitous data access so This is why we built something new from the ground up. I’m super proud of the team and grateful to our customers and partners who are building this with us. Much of the VAST AI OS has been shaped through that collaboration. The next chapter is already underway in R&D and we’re looking for top talents to join us. https://lnkd.in/efMNDzHK
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Russ Richards
Managing mission-critical data shouldn't feel overwhelming. 😓 The NetApp ASA datasheet outlines how these all-flash arrays provide exceptional performance, continuous access through symmetric active-active multipathing, and reduced operational overhead with intuitive management. Download the datasheet to see how ASA systems help agencies future-proof storage and maintain secure, resilient operations.
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