The IPO window may have cracked open, but it seems some former startups have no intention of going public. Makes sense, in a way: IPOs were traditionally a way to raise money, and if you can manage to raise ungodly amounts without having to put your company through public scrutiny, why do it? Databricks is proving that point: The data intelligence company has just raised more than $4 billion in a Series L funding round at a $134 billion valuation — up 34% from the $100 billion valuation that it achieved ...

AI token factories collapse without data intelligence. DDN can help. Here's the business problem.Most AI token factories fail not because of GPUs, but because data becomes a bottleneck. Token cost skyrocket. Power goes through the roof.Time to revenue stalls. And here's the NCP reality for cloud. Profitability isn't about selling GPU hours.It's about lowering token cost. DDN does that across training, inference, and rack at the system level, helping NCPs attract more customers. GPUs create power.DDN turns t ...

How are GPUs being constrained in average environments today. And really the big challenge is data and actually we sometimes call artificial intelligence data intelligence at DDN because it's really about how we turn data as a source code into applications you can run which are intelligent and provide intelligence to the to the customers. And when we're building those models and when we're running those models and even when we're preparing the data to build those models, these are all GPU operations that ar ...

AI Infrastructure Challenges & Solutions - Data bottlenecks constrain GPU performance in AI training and inference, leading to wasted resources and reduced productivity [2][4][5][11] - DDN addresses these bottlenecks by optimizing data movement through fast storage systems and integration with AI frameworks and hardware like Nvidia [5][6] - Inference is becoming increasingly important, with spending expected to surpass training systems, posing challenges in model loading, RAG (Retrieval Augmented Generation), and KV cache management [7][8][9] - DDN Core combines Exascaler for training and Infinia for data management to provide a seamless AI experience [13][14] DDN's Value Proposition - DDN's solutions improve data center efficiency by increasing "answers per watt," delivering more compute with less energy consumption [12][13] - DDN handles KV cache, increasing the effective memory of GPU systems and improving productivity by up to 60% in large-scale GPU data centers [9][10] - DDN offers fast-track solutions for enterprises to adopt AI, whether on the cloud or on-premise, through partnerships like the one with Google Cloud [15][16][17] - DDN's platform supports various use cases, including HPC, AI training and inference, research data management, and secure data sharing [19][20] Strategic Considerations - DDN emphasizes the importance of considering data first when building AI at scale, advocating for data desiloing and secure access [28][29] - DDN supports sovereign AI, enabling nations to develop AI models relevant to their specific data, language, and culture while ensuring security and data sharing [20][21][22] - Partnerships are crucial for delivering efficient AI solutions tailored to customer preferences, whether cloud, on-premise, or hybrid [23][24] - AI factories, which integrate data preparation, training, simulation, and production, present complex data challenges where DDN excels [25][26][27]

There are three waves simulation AI and then you got quantum more and more data is coming in. What is an AI factory if someone asked you. >> So to me okay to me an AI factory is a tool a capability it could be physical as in a data center it could be a combination of physical in a data center and cloud but it's a way to generate and create business value business outcomes and financial outcomes for organizations who are looking at making investments in AI.So an AI factory for an enterprise, let's say financ ...

Supercharging workloads to achieve data intelligence. Fast, very flexible, >> sheer performance and uh amazing throughput at low latencies. >> Performance earthshattering. ...

Unlock the full power of enterprise AI and HPC with DDN’s AI400X3 Series. In this video discover how the AI400X3 Series is purpose-built for large-scale model training, AI factories, and high-performance computing environments. We’ll dive into performance benchmarks, architectural highlights, deployment flexibility, and why this platform delivers the throughput, scalability and operational simplicity modern AI teams demand. *************************************************** SUBSCRIBE TO OUR CHANNEL: https: ...

Core Insights - Fluent, Inc. reported strong growth in its Commerce Media Solutions business, which accounted for 40% of total revenue in Q3 2025, up from 16% in Q3 2024 [2][5] - The annual revenue run rate for Commerce Media Solutions now exceeds $85 million, with a gross margin of 22%, reflecting a sequential improvement of approximately 400 basis points compared to Q2 2025 [2][5] - The company expects to achieve adjusted EBITDA profitability in Q4 2025 and full-year double-digit revenue growth and adjusted EBITDA profitability in 2026 [4][10] Financial Performance - Q3 2025 revenue was $47.0 million, a decrease of 27% compared to $64.5 million in Q3 2024 [6][20] - Commerce Media Solutions revenue grew 81% to $18.8 million, compared to $10.4 million in Q3 2024 [5][6] - The net loss for Q3 2025 was $7.6 million, or $0.27 per share, compared to a net loss of $7.9 million, or $0.48 per share, for Q3 2024 [6][7] Year-to-Date Performance - Year-to-date revenue for 2025 was $146.9 million, a decrease of 22% compared to $189.2 million in YTD 2024 [8] - Owned and Operated revenue decreased 44% to $73.2 million compared to $130.2 million in YTD 2024 [8] - Commerce Media Solutions revenue increased 98% to $47.5 million compared to $24.0 million in YTD 2024 [8] Business Outlook - The company aims to accelerate the growth of its Commerce Media Solutions business and establish it as a leader in the performance marketing sector [9] - Fluent plans to leverage its 14-year leadership position in customer acquisition and its robust database of first-party user data to differentiate itself in the commerce media space [9] - The company expects to return Commerce Media Solutions gross margin to the high twenties by leveraging AI capabilities and proprietary first-party data [9]

RAG Acceleration with DDN Infinia - DDN Infinia accelerates retrieval-augmented generation (RAG) by removing I/O and object storage delays [1] - DDN Infinia delivers sub-second retrieval [1] - DDN Infinia achieves 96% GPU utilization [1] - DDN Infinia enables seamless scaling for hybrid vector and keyword search workloads [1] Key Benefits - DDN Infinia accelerates hybrid RAG retrieval [1] - DDN Infinia reduces latency and maximizes throughput [1] - DDN Infinia streamlines vector search and context retrieval [1] - DDN Infinia improves LLM performance in enterprise AI environments [1] DDN Overview - DDN is a pioneer in high-performance data storage and management [1] - DDN delivers innovative solutions that empower organizations across the globe [1]

Core Insights - The 2025 World Internet Conference held in Wuzhen focused on building an open, cooperative, and secure digital future, gathering global leaders from various sectors [2] - Baiwang Co., Ltd. won the "Special Award" at the "Direct to Wuzhen" global internet competition, showcasing its innovative technology and industry application capabilities [2] - The competition highlighted that companies implementing AI are increasingly favoring "modular intelligent agents" over single general models, with Baiwang's approach serving as a benchmark in the industry [2] Company Developments - Baiwang's intelligent agent matrix integrates foundational large models with deep business understanding, demonstrating significant innovation in AI technology and marking a milestone in data intelligence strategy [3] - The co-founder of Baiwang, Zou Yan, emphasized the importance of integrating data intelligence with industry, proposing a formula for future digital productivity as "scene x (data + intelligence)" [3] - Baiwang's data intelligence technology has been successfully implemented in leading enterprises, such as collaborating with a major state-owned shipping company to build a cross-border document compliance intelligent agent [4] Industry Trends - The value of data intelligence lies in its ability to connect enterprise needs with opportunities, as well as linking Chinese innovation with global markets [5] - Baiwang aims to deepen the application of data intelligent products in new scenarios and enhance vertical models, leveraging AI to meet real-world enterprise demands [5] - The company is committed to driving digital productivity as a core engine for sustainable global economic development through high-quality data assets and vertical intelligent agents [4][5]