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Oracle announced Zettascale10 on October 14, 2025, as a multi-data-center AI compute fabric for its Stargate collaboration with OpenAI at Abilene, Texas. Oracle’s headline design target is up to 800,000 NVIDIA GPUs and up to 16 zettaFLOPS of peak performance. Those are announced maximums—not confirmation that the full system has been delivered, is operating, or has achieved that performance on an AI workload.
What is Oracle Zettascale10?
Zettascale10 is Oracle’s announced design for a very large, distributed AI compute system. Rather than describing one conventional supercomputer building, Oracle describes a multi-gigawatt cluster fabric spanning data centers and built around Oracle Acceleron RoCE networking and NVIDIA AI infrastructure. Oracle links the system to Stargate, its collaboration with OpenAI at Abilene.
Oracle says the data-center facilities in a cluster are intended to sit within a two-kilometer radius, a layout it says is meant to reduce GPU-to-GPU latency during large-scale AI training. The network is based on Remote Direct Memory Access over Converged Ethernet (RoCE). In Oracle’s description, modern GPU network interface cards provide switching capabilities, while multiple isolated network planes and traffic shifting are intended to keep traffic moving if one plane has a problem. These are design descriptions and claimed benefits, not independently verified uptime or performance results.
How many GPUs and how much compute are targeted?
Oracle’s October 2025 announcement describes a system scope of “hundreds of thousands” of GPUs and gives an initial Zettascale10 deployment target of up to 800,000 NVIDIA GPUs. It also claims up to 16 zettaFLOPS of peak performance. The broader phrase describes the scale of the system; 800,000 is the announced upper target, not a verified count of GPUs currently in operation.
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A zettaFLOPS is a rate of 1021 floating-point operations per second. “Peak” refers to a theoretical or specified maximum rate under suitable conditions; it does not tell you how quickly a particular AI model trains or how much useful work a deployed system sustains. No independent Zettascale10 workload benchmark is established by the sources available here, so the 16-zettaFLOPS figure should be read as Oracle’s peak design claim, not a measured result.
Oracle said it was taking orders when it announced Zettascale10 and expected availability in the second half of 2026. That schedule was a forward-looking expectation in an October 2025 release; the available sources do not confirm that the maximum configuration became generally available on that timetable.
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Is Oracle already operating hundreds of thousands of GPUs at Abilene?
The available current status figure does not answer that question. Oracle’s Abilene data-center page reports that 42% of the campus’s total capacity has been delivered, with the remaining capacity due in subsequent quarters. Oracle’s page includes site imagery dated May 27 and June 4, 2026, but the delivery statement itself is not explicitly dated. The percentage refers to campus capacity, not to GPUs installed, online, or serving customer workloads.
A contemporaneous Associated Press report from October 2025 described the Abilene project as an eight-building complex requiring about 900 megawatts to power the buildings. At the time of that report, one building was operating and a second was nearly complete. This is a dated snapshot of the buildout, not a statement of present-day site status or a count of operating GPUs.
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Therefore, the defensible reading is that Oracle has announced an up-to-800,000-GPU design target while reporting phased delivery of Abilene campus capacity. The available figures do not establish how many GPUs are operating there now.
How does Zettascale10 compare with Oracle’s earlier figures?
Oracle announced other large OCI Supercluster configurations before Zettascale10. Their figures belong to those earlier configurations and should not be combined with Zettascale10’s 2025 headline as if they were specifications for one deployed system.
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| Announcement | GPU figure | Peak compute | Network figure |
|---|---|---|---|
| OCI Supercluster engineering account, March 18, 2025 | Up to 131,072 NVIDIA Blackwell GPUs | Up to 2.4 zettaFLOPS | 52 Pbps aggregate line-rate throughput across that 131,072-GPU configuration, with 400 Gbps per port |
| OCI Zettascale10 announcement, October 14, 2025 | Initial target of up to 800,000 NVIDIA GPUs | Up to 16 zettaFLOPS peak | Not stated in the announcement’s headline figures |
Oracle’s separate CloudWorld 2024 post listed Supercluster configurations involving H200, B200, and GB200 hardware at different scales and availability stages. It cited up to 131,072 B200 GPUs and more than 100,000 GB200 GPUs, while distinguishing between offerings that were orderable and those that were generally available. These are historical configuration announcements, not evidence of current installed capacity.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why does the network matter at this scale?
When many GPUs cooperate on a large training job, they must exchange data as well as perform calculations. The fabric that connects them can affect how efficiently the system keeps its accelerators busy, especially when traffic crosses between groups of GPUs or data-center facilities. This is why GPU count alone does not describe an AI supercomputer’s practical capability.
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In its March 2025 engineering account of an earlier OCI Supercluster, Oracle described a three-tier Clos network, network-locality placement, congestion-control methods for RoCE, and different network tiers serving different GPU group sizes. That account included latency figures for the tiers and described 400 Gbps connections per GPU in the specified configuration. These details explain Oracle’s engineering approach, but remain Oracle-reported figures and design claims rather than third-party validated benchmarks for Zettascale10.
For Zettascale10, Oracle specifically describes Acceleron RoCE, isolated network planes, and traffic shifting if a plane has problems. The architecture may be relevant to a system spanning many facilities, but the announcement alone does not quantify resulting savings, reliability, or workload speed.
What role do NVIDIA BlueField DPUs play?
In an October 28, 2025 post, Oracle described NVIDIA BlueField-4 data processing units (DPUs) as part of its next-generation platform and said Zettascale10 was designed to scale to 800,000 GPUs. The same post said BlueField-3 DPUs were already in production while BlueField-4 was “soon to be integrated.” It also contained a future-product disclaimer. That means the post is not evidence that BlueField-4 or every capability described there was generally available or deployed in Zettascale10 at that time.
NVIDIA separately described Zettascale10 as intended for AI training and inference and discussed Oracle integrations involving NVIDIA AI Enterprise, NIM, and GPU-accelerated analytics. Those related products should not be assumed to be included in every Zettascale10 deployment.
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No. Oracle and NVIDIA also announced a collaboration with the U.S. Department of Energy to build AI supercomputers for scientific discovery at Argonne. That is a separate project from Stargate Abilene and Zettascale10; its systems and progress should not be attributed to Oracle’s Abilene cluster.
Quick Recap
What the published figures do—and do not—show
- They show announced scale: Oracle’s Zettascale10 target is up to 800,000 NVIDIA GPUs and up to 16 zettaFLOPS peak performance.
- They do not show current deployment: Oracle’s 42% Abilene figure concerns delivered campus capacity, not the number of GPUs operating.
- They do not show measured AI throughput: a peak FLOPS claim is not a benchmark of model training time, inference speed, or sustained application performance.
- They are not a direct competitor ranking: a fair comparison would also need comparable evidence for delivered capacity, GPU model and count, network, power readiness, and measured workloads.
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