Major tech giants unveil powerful new infrastructure and tools that promise to transform how businesses deploy artificial intelligence
The enterprise AI landscape just got a major shake-up. NVIDIA and Oracle have announced an expanded partnership that’s set to redefine how companies build, deploy, and scale artificial intelligence across their operations. Unveiled at Oracle AI World in Las Vegas, the collaboration brings together NVIDIA’s cutting-edge GPU technology with Oracle’s cloud infrastructure in ways that could finally make enterprise AI both practical and powerful.
At the heart of this partnership lies a simple but ambitious goal: make AI work for businesses of all sizes, not just tech giants with unlimited budgets. And judging by what’s been announced, they’re not messing around.
The Beast: OCI Zettascale10 Computing Cluster
Let’s talk about raw power first. Oracle’s new OCI Zettascale10 computing cluster is an absolute monster. We’re talking about 16 zettaflops of peak AI compute performance. To put that in perspective, that’s enough processing muscle to make most existing enterprise servers look like pocket calculators.
But here’s the thing raw power alone doesn’t cut it anymore. What makes Zettascale10 interesting is how it’s put together. NVIDIA’s Spectrum-X Ethernet networking fabric connects everything, and this isn’t your standard networking setup. It’s specifically designed to keep GPUs fed with data so they’re not sitting idle waiting for information to arrive. When you’re scaling up to millions of processors, that kind of efficiency matters. A lot.
“Through this latest collaboration, Oracle and NVIDIA are marking new frontiers in cutting-edge accelerated computing—streamlining database AI pipelines, speeding data processing, powering enterprise use cases and making inference easier to deploy and scale on OCI,” said Ian Buck, VP of Hyperscale and High-Performance Computing at NVIDIA.
Mahesh Thiagarajan, Executive VP of Oracle Cloud Infrastructure, added that “OCI Zettascale10 delivers multi-gigawatt capacity for the most challenging AI workloads with NVIDIA’s next-generation GPU platform.”
Bringing AI to Your Data, Not the Other Way Around
Here’s where things get really interesting. For years, the conventional wisdom in enterprise AI has been to move your data to where the AI models live. Oracle and NVIDIA are flipping that script entirely with the Oracle AI Database 26ai.
The philosophy is simple but powerful: why risk moving sensitive business data around when you can bring the AI directly to where your data already lives? It’s more secure, more efficient, and frankly, it just makes more sense.
Juan Loaiza, Executive VP of Oracle Database Technologies at Oracle, explained it this way: “By architecting AI and data together, Oracle AI Database makes ‘AI for Data’ simple to learn and simple to use. We enable our customers to easily deliver trusted AI insights, innovations, and productivity for all their data, everywhere.”
The new database can run agentic AI workflows right inside your database environment. These AI agents can tackle complex questions by combining your company’s private, sensitive data with public information all without ever moving that private data outside your secure perimeter. That’s huge for industries like healthcare, finance, and government where data security isn’t just important, it’s legally mandated.
One standout feature is the Unified Hybrid Vector Search. This lets AI look for context across all your data types whether it’s sitting in a relational table, a JSON file, or even a spatial map. No more data silos getting in the way of good AI.
Future-Proofing Against Quantum Threats
Oracle isn’t just thinking about today’s security threats. The new database implements NIST-approved quantum-resistant algorithms for data both in transit and at rest. This is defense against so-called “harvest now, decrypt later” attacks, where hackers steal encrypted data today hoping to crack it with future quantum computers.
It might sound like science fiction, but security experts are taking this threat seriously. And Oracle is getting ahead of it now.
Holger Mueller, VP and Principal Analyst at Constellation Research, noted: “Great AI needs great data. With Oracle AI Database 26ai, customers get both. It’s the single place where their business data lives current, consistent, and secure.”
Making AI Development Actually Manageable
The partnership also addresses one of the biggest headaches in enterprise AI: the complexity of actually building and deploying AI applications. The new Oracle AI Data Platform now includes built-in NVIDIA GPU options and the NVIDIA RAPIDS Accelerator for Apache Spark.
For data scientists and engineers, this is a big deal. They can speed up their data processing and machine learning workflows using GPUs, often without changing a single line of their existing code. That’s the kind of backward compatibility that makes adoption actually feasible in the real world.
The database’s programming interfaces now plug directly into NVIDIA NeMo Retriever, a collection of microservices that handle the complicated plumbing of modern enterprise AI. This makes it far easier for developers to implement retrieval-augmented generation (RAG)—a technique that allows language models to look up relevant facts in company documents before answering questions, making responses far more accurate and useful.
The AI Agent Revolution: Oracle’s New Marketplace
While the infrastructure announcements are impressive, Oracle’s expansion of its AI Agent Studio might be even more significant for day-to-day business operations. Announced at the same Oracle AI World event, the AI Agent Studio updates bring enterprise-grade controls, flexibility, and a brand new marketplace for AI agents.
“We think that the year 2026 will be the year companies start to really operationalize AI within their organizations,” said Natalia Rachelson, Oracle’s senior vice president of cloud applications development.
The new AI Agent Marketplace is embedded natively within Oracle Fusion Applications. Unlike other AI agent marketplaces where you have to jump through hoops to integrate third-party tools, Oracle’s approach lets customers access, test, and deploy partner-built AI agents directly within their existing workflows. It’s seamless in a way that most enterprise software isn’t.
More than 32,000 certified experts have already completed training on how to build effective agents within Oracle AI Agent Studio. That’s a massive ecosystem of talent ready to help businesses deploy AI solutions.
LLM Flexibility: Pick Your Poison
One of the smartest moves Oracle made with the AI Agent Studio is supporting multiple large language models. Customers can now choose from OpenAI, Anthropic’s Claude, Cohere’s Command, Google’s Gemini, Meta’s Llama, and xAI’s Grok. And here’s the kicker—you can mix and match models within the same use case.
“When dealing with text and multimodal videos and images, you may prefer to use a different model,” Rachelson explained. “Customers can pick any LLM for any use case.”
This flexibility matters because different models have different strengths. One might be better at analyzing financial documents, while another excels at customer service interactions. Being able to choose and switch gives businesses real control over their AI strategy.
The studio also introduces cost monitoring across models, including tracking token usage for premium models like OpenAI’s GPT-4. “We provide a very generous allotment of tokens that customers can start with,” Rachelson said. “Once they pass the threshold, that’s where the counting begins.”
Deterministic Workflows: Making AI Predictable
One of the most often-cited concerns about AI models is their unpredictability. Their probabilistic reasoning can make them behave in ways that are hard to anticipate. Oracle’s solution? Deterministic agent workflows.
These workflows allow users to define a sequence of actions that an agent will execute exactly as instructed, every single time. “The agent executes the steps and reasons as it’s executing the steps,” Rachelson said. “It’s very predefined and very controlled. It will deliver the same results 100% of the time.”
For business-critical processes where consistency matters, this is essential. You can include loops, branching logic, and even human-in-the-loop approvals integrated into Fusion workflows. It’s AI with guardrails powerful but controlled.
Rebecca Wettemann, CEO of industry analyst firm Valoir, told SiliconANGLE: “Oracle is making AI easier to adopt and harder to avoid. It’s important to note that unlike many of its competitors, Oracle is not charging for AI agents or for use of Agent Studio. This means customers have more flexibility to both experiment with and broadly deploy AI in production without worrying about budgetary constraints.”
Real-World Impact: Abu Dhabi’s AI Transformation
The partnership isn’t just theoretical. Oracle and NVIDIA are already working together on Abu Dhabi’s ambitious AI transformation, in collaboration with the emirate’s Department of Government Enablement (DGE), Deloitte, and Core42.
Abu Dhabi has set a bold goal: become an AI-native government by 2027. Backed by a 13-billion AED investment, the Abu Dhabi Government Digital Strategy 2025-2027 emphasizes sovereign cloud adoption, full digitization, and automation of government processes.
Since December 2024, DGE has expanded AI-accelerated services across 25 government entities, benefiting over 15,000 daily active Oracle Cloud Infrastructure users. The phased transformation approach crawl, walk, run ensures sustainable growth. Phase 1 built core infrastructure, Phase 2 introduced generative AI into production, and Phase 3 aims to develop advanced AI and autonomous workflows.
The partnership emphasizes data sovereignty, keeping data within Abu Dhabi while utilizing NVIDIA’s high-performance AI capabilities. Core42’s infrastructure supports OCI Dedicated Region solutions, ensuring sensitive data remains within the emirate.
The digital transformation initiative is expected to contribute over 24 billion AED to Abu Dhabi’s GDP by 2027, creating over 5,000 jobs and supporting Emiratisation. It’s a real-world example of how sovereign AI, powered by Oracle and NVIDIA, can reshape government services while maintaining security and control.
Enterprise Controls and Observability
Oracle hasn’t forgotten about the operational side of AI. The updated AI Agent Studio features deep monitoring and evaluation capabilities, including a real-time dashboard, token usage tracking, telemetry for agent behavior, and built-in evaluation tools.
Customers can track how often agents succeed or fail, what prompts have been modified, which credentials have been added, and where humans were injected into workflows. The intention is to bring AI agents in line with existing governance standards that organizations already use for software-as-a-service applications.
“Agents are no different than other enterprise SaaS software,” Rachelson said. “That’s how we’re treating the studio and the agents within the studio.”
New prompt and topic libraries within AI Agent Studio ensure that prompts are consistent, reusable, and governed. “Agents are tied to Fusion, so they adhere to Fusion’s security framework and Fusion access controls,” Rachelson explained. “We know everything about the user: what their request center is, what legal entity they belong to, who their manager is and what their job code is. They can’t just access sensitive finance or payroll information.”
What This Means for the Enterprise AI Market
Industry analysts are taking notice. Mickey North Rizza, Group Vice-President Enterprise Software at IDC, commented: “In the current enterprise AI-arms race, Oracle has proven itself to be a steadfast competitor. With the launch of AI Agent Marketplace, Oracle is raising the bar once again. With the new marketplace offering an ever-expanding range of partner-built AI agents natively supported in Fusion Applications, Oracle customers will be uniquely able to accelerate AI adoption.”
Holger Mueller of Constellation Research added: “Enterprise application suites that embed AI capabilities and offer flexible agent development environments are taking a clear lead in the market. Expanding these ecosystems with accessible marketplaces for partner-built AI agents represents a natural evolution, making it easier for enterprises to adopt and scale AI-driven automation.”
About 5,000 customers are already testing or deploying agents using AI Agent Studio. While it’s early days, the Fusion integration and deployment on Oracle Cloud Infrastructure should help avoid the high AI failure rates that have been reported elsewhere.
“Built-in AI is very different from DIY AI or bolted-on AI,” Rachelson said. “Built-in AI inherits so much from Fusion, like the security framework and guardrails.”
The Bottom Line
This partnership between NVIDIA and Oracle represents more than just another tech announcement. It’s a comprehensive approach to making enterprise AI actually work in the real world secure, scalable, and practical.
By combining NVIDIA’s GPU technology and AI software with Oracle’s cloud infrastructure and database capabilities, the two companies are addressing the full stack of enterprise AI challenges. From the raw computing power of Zettascale10 to the practical tools in AI Agent Studio, from quantum-resistant security to flexible LLM support, this partnership covers a lot of ground.
The proof, of course, will be in the execution. But with thousands of customers already testing these tools and real-world deployments like Abu Dhabi’s government transformation showing results, the early signs are promising.
As businesses continue to grapple with how to adopt AI effectively, partnerships like this one between NVIDIA and Oracle might just provide the roadmap they’ve been looking for. The era of practical, secure, and scalable enterprise AI isn’t just coming it’s already here.
Sources
- NVIDIA GPUs to power Oracle’s next-gen enterprise AI services – AI News
- Oracle and NVIDIA Propel Abu Dhabi’s AI-Driven Government Transformation – Blockchain.News
- NVIDIA and Oracle Collaborate to Boost Enterprise AI with Zettascale10 Cluster – Blockchain.News
- Oracle’s AI Agent Studio gets enterprise controls, LLM flexibility and deterministic workflows – SiliconANGLE
- Oracle Expands AI Agent Studio for Fusion Applications with New Marketplace, LLMs, and Vast Partner Network – Oracle
