Oracle diversifies AI chip offerings with Google TPUs, Cerebras, and expanded Nvidia partnership

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Oracle unveiled major AI infrastructure expansions at Oracle AI World, adding Google's Tensor Processing Units to Oracle Cloud Infrastructure for the first time outside Google's own cloud. The company also announced Cerebras Systems hardware, OpenAI's Jalapeño chip, and deeper ChatGPT integrations while expanding its Nvidia partnership with Vera Rubin systems to multi-gigawatt scale.

Oracle becomes first hyperscaler to offer Google TPUs outside Google Cloud

Oracle announced at Oracle AI World in Las Vegas that Oracle Cloud Infrastructure will add Google's Tensor Processing Units starting in 2027, making it the first hyperscale cloud platform outside Google's own services to offer these chips

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. The move represents Oracle's strategy to diversify AI chip offerings beyond its existing tens of billions of dollars in deals with Nvidia

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. "Different AI workloads have different compute needs," said OCI president Mahesh Thiagarajan. "Bringing Google TPUs to OCI gives customers the flexibility to choose the right infrastructure for the performance, throughput, and economics of each AI workload"

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Cerebras and OpenAI chips join Oracle's expanding hardware lineup

Oracle Cloud Infrastructure will also offer Cerebras Systems' AI computers in its data centers from 2027, giving the Nvidia challenger another large customer after OpenAI and Amazon Web Services

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. Cerebras builds each chip from a whole silicon wafer, claiming this lets its systems answer AI requests much faster than rivals

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. Additionally, Oracle announced that OpenAI's Jalapeño chip will run on Oracle Cloud Infrastructure

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. Thiagarajan told CNBC that chip scarcity remains an ongoing issue and customers like OpenAI can benefit from having different accelerators to choose from, though he emphasized that Nvidia chips remain "the best, most fungible"

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. Analysts expect Cerebras to triple revenue next year to almost $3B from less than $1B this year

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Nvidia Vera Rubin expansion targets AI workload efficiency

Source: NVIDIA

Source: NVIDIA

Oracle and Nvidia announced plans to expand OCI Superclusters with Nvidia Vera Rubin NVL72 systems to multi-gigawatt scale, with general availability of both Vera Rubin NVL72 and Nvidia Vera CPUs now live on Oracle Cloud Infrastructure

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. The expanded collaboration addresses two distinct demands: GPU-intensive work for frontier model training and serving, and CPU-intensive tasks that agentic workloads perform between model calls, including executing tools, testing code, and retrieving data

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. Oracle also plans to introduce HGX Rubin NVL8 systems, featuring eight Rubin GPUs connected through NVLink in an x86-based server configuration with two 64-core Intel Xeon 6 CPUs and 4TB of DDR5 memory

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. OpenAI has already trained and served GPT-6 Astra on an OCI Supercluster with more than 100,000 Nvidia Blackwell GPUs in Abilene

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ChatGPT integration brings OpenAI tools to enterprise applications

Oracle announced an expanded collaboration with OpenAI that brings ChatGPT and Codex into its application stack, extending enterprise AI capabilities

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. The company introduced Oracle AI Workspace, described as "a single user experience that brings OpenAI frontier models together with Oracle applications, enterprise data, and cloud services" through ChatGPT plugins that turn Oracle's existing business platforms into ChatGPT-accessible resources

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. Oracle also unveiled Oracle AI Security Mesh, a managed platform combining frontier AI models for cybersecurity with Oracle's security expertise to find vulnerabilities, test exploitability, and recommend fixes

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. OpenAI CEO Sam Altman joined Oracle co-CEO Clay Magouyrk for a keynote at Oracle AI World

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GPU utilization challenges raise questions about infrastructure efficiency

Source: VentureBeat

Source: VentureBeat

The cloud infrastructure expansion comes as VentureBeat Intelligence research reveals concerning GPU utilization rates among enterprise AI deployments. Surveys from July, August, and September found 79% of 218 respondents reporting GPU utilization at 50% or below, yet 70% of that group nevertheless plans platform changes

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. Oracle and Nvidia position their ability to scale CPU and GPU resources independently as a solution to reduce idle capacity, particularly for agentic workloads where GPUs may wait while CPUs execute code or retrieve information

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. Oracle posted record earnings in the quarter ending August 31, with revenue up 30% year over year as AI infrastructure investments began paying dividends

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. The company plans to spend $70B on capital projects in the year to May 2027, after spending $55.7B the previous year

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. However, concerns about an AI bubble persist, with little evidence of similar returns outside the tech sector and signs that the bubble has already begun to burst in China

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