At GTC 2025, Confluent launched Confluent Intelligence to embed live data into AI, while NVIDIA’s NVQLink paves the way for scalable quantum-AI hybrid systems, signalling a new era of advanced, context-aware applications.
At the recent Confluent Current 2025 conference, the spotlight was firmly on the convergence of real-time data and artificial intelligence (AI), highlighting an evolving imperative within the AI development community: the integration of dynamic, streaming data into AI systems. Confluent unveiled several innovations designed to support this synergy. Central among these was the launch of Confluent Intelligence, a platform built on Confluent Cloud that streams and processes both historical and real-time data to supply contextually rich inputs directly into AI applications. This setup aims to help businesses ground their AI frameworks with continuously updated, trustworthy data.
In tandem with this, Confluent announced the general availability of integrations with Delta Lake and Databricks Unity Catalog within Confluent Tableflow, along with early access support for Microsoft OneLake. These advancements enable a fully managed, hybrid, and multicloud-capable solution that connects operational, analytical, and AI systems. Crucially, Confluent now supports direct data flow from Apache Kafka topics into Delta Lake or Apache Iceberg tables, ensuring automated quality controls and enterprise-grade security. Additionally, the introduction of a Real-Time Context Engine, compliant with the Model Context Protocol (MCP), promises to deliver precise, structured context to any AI agent or large language model (LLM)-powered application, accelerating AI deployment with trusted data streams.
Parallel to Confluent’s announcements, NVIDIA’s GTC 2025 conference revealed pioneering strides in bridging quantum computing and AI supercomputing. NVIDIA introduced NVQLink, an open system architecture designed to tightly integrate quantum processors with GPU-powered AI compute infrastructure. NVQLink addresses significant challenges in quantum computing, notably quantum error correction and real-time processing needs, by enabling high-speed, low-latency connectivity between quantum processing units (QPUs) and classical AI resources. Accessible through NVIDIA’s CUDA-Q software, this platform supports hybrid quantum-classical application development, representing a substantial leap towards practical, scalable quantum computing solutions.
Supporting this quantum-AI integration vision, partnerships with organizations like Keysight Technologies and Rigetti Computing underscore industry-wide momentum. Keysight is focused on delivering advanced control systems that merge quantum and AI infrastructures efficiently, while Rigetti contributes scalable quantum processors optimized for hybrid systems. Together, these collaborations are setting the stage for accelerated quantum supercomputing capabilities applicable to AI, ultra-precise simulations, and advanced modeling across sectors.
The broader real-time analytics arena also saw multiple significant developments. Companies like Hammerspace and Actian have released solutions aimed at making enterprise data more accessible and governed for AI applications, particularly those driven by agentic AI. Akamai launched its Inference Cloud to distribute AI inference closer to users at the network edge, reducing latency and providing scalable edge AI processing. Meanwhile, Altair enhanced its RapidMiner platform to integrate human insight with data automation and agentic AI collaboration, supporting more scalable and trusted AI environments.
Innovations in data quality and analytics were showcased by Anomalo’s Intelligent Data Analyst (AIDA), which uses natural language queries to provide instant insights from monitored datasets, and CelerData’s StarRocks 4.0, which unites data lake flexibility with high performance analytics. Commvault introduced Data Rooms, enabling secure access of backup data for AI platforms, while DeltaStream expanded access to its unified streaming data platform on Microsoft Azure.
Other notable announcements come from firms advancing AI infrastructure and developer tools. InfluxData’s InfluxDB 3.6 now supports Ask AI capabilities, enhancing time-series data analytics with AI-driven interaction. Informatica has bolstered its Intelligent Data Management Cloud with new AI-enabled automation tools. Leaseweb extended its AI-ready cloud infrastructure across North America with NVIDIA GPU integration, and OPAQUE introduced a platform accelerating the secure deployment of Confidential AI agents.
Moreover, companies such as Qlik, SUSE, and Teradata are ramping up efforts to embed AI and agentic solutions into their enterprise offerings, focusing on forecasting, secure AI integration, and scaling AI agents from pilots to production. Strategic collaborations include Amplitude’s agent-to-agent integrations and Elastic’s integration with Azure AI Foundry to provide observability and monitoring for AI workloads.
This flurry of activity across real-time analytics, AI, and quantum computing illustrates an accelerating trend where data-in-motion and hybrid computing architectures are foundational to next-generation AI solutions. Vendors and partners alike are striving to deliver platforms that not only integrate vast and diverse data streams in real time but also harness cutting-edge quantum and GPU technologies to unlock new AI capabilities.
📌 Reference Map:
- Paragraph 1 – [1] (RTInsights)
- Paragraph 2 – [1] (RTInsights)
- Paragraph 3 – [2], [3], [4], [6], [7] (NVIDIA, Keysight, Rigetti)
- Paragraph 4 – [1] (RTInsights)
- Paragraph 5 – [1] (RTInsights)
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
9
Notes:
The narrative presents recent developments from Confluent and NVIDIA, with specific dates and events, indicating high freshness. The earliest known publication date for similar content is October 28, 2025, when NVIDIA introduced NVQLink. ([investor.nvidia.com](https://investor.nvidia.com/news/press-release-details/2025/NVIDIA-Introduces-NVQLink–Connecting-Quantum-and-GPU-Computing-for-17-Quantum-Builders-and-Nine-Scientific-Labs/default.aspx?utm_source=openai)) The report includes updated data and new announcements, justifying a high freshness score.
Quotes check
Score:
8
Notes:
Direct quotes from NVIDIA’s CEO Jensen Huang and U.S. Secretary of Energy Chris Wright are included. The earliest known usage of these quotes is October 28, 2025, in NVIDIA’s press release. ([investor.nvidia.com](https://investor.nvidia.com/news/press-release-details/2025/NVIDIA-Introduces-NVQLink–Connecting-Quantum-and-GPU-Computing-for-17-Quantum-Builders-and-Nine-Scientific-Labs/default.aspx?utm_source=openai)) No significant variations in wording were found, suggesting the quotes are reused.
Source reliability
Score:
7
Notes:
The narrative originates from RTInsights, a technology news outlet. While it is a known source, it is not as widely recognized as major outlets like the BBC or Reuters. The report references official press releases from Confluent and NVIDIA, enhancing its credibility.
Plausability check
Score:
9
Notes:
The claims about Confluent’s launch of Confluent Intelligence and NVIDIA’s introduction of NVQLink are corroborated by official press releases from both companies. ([confluent.io](https://www.confluent.io/press-release/confluent-unites-batch-and-stream-processing-for-agentic-ai-and-analytics/?utm_source=openai)) The language and tone are consistent with industry standards, and the report provides specific details, such as dates and event names, supporting its plausibility.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative presents recent and specific developments from Confluent and NVIDIA, supported by official press releases. The use of direct quotes from reputable sources and the inclusion of detailed information enhance its credibility. The source, RTInsights, is a known technology news outlet, though not as widely recognized as major outlets. Overall, the report is plausible and aligns with other reputable sources, justifying a ‘PASS’ verdict with high confidence.
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