Overview
Two Clusters Training FSD and Optimus
Cortex is Tesla's AI training program at Giga Texas. Two Nvidia GPU clusters, Cortex 1 and Cortex 2, train the networks behind Full Self-Driving, the Tesla Robotaxi service and Optimus, on the same campus that builds the vehicles and robots that run them.
Tesla reports its Texas training capacity in megawatts: about 115 MW at the end of 2025, 135 MW at the end of Q1 2026 and 260 MW at the end of Q2 2026, most of the increase from Cortex 2. It targets nearly 400 MW by the end of 2026.
Reported Target Full design
| Cluster | Location | GPUs | Power | Workload | Status |
|---|---|---|---|---|---|
| Cortex 1 | South end, beside the main factory | More than 100,000 H100e | About 130 MW | FSD and robotaxi training | In production since Q4 2024 |
| Cortex 2 | North end | More than 130,000 H100e | About 130 MW active of 500 MW design | Vehicle and humanoid autonomy | Online April 2026; ramping |
| Combined | Giga Texas | More than 230,000 H100e | About 260 MW; nearly 400 MW targeted by end of 2026 | FSD, robotaxi and Optimus | Ramping |
H100e counts the mix of H100 and H200 GPUs in H100 units.
Cortex 1
FSD and Robotaxi Training
Cortex 1 came online in Q4 2024 with 50,000 H100s and grew through 2025 to more than 100,000 H100e. Tesla credits it with a fivefold increase in training compute, which carried FSD from hand-written C++ in v11 to the single end-to-end network of v12. It now trains v14 and v15. It draws about 130 MW, cooled by six chilled-water pipes, four second-floor tanks and the rooftop fans drone observers film.
| Version | Architecture | Status, October 2026 |
|---|---|---|
| v11 | Modular C++ code | Superseded |
| v12 | End-to-end neural network, first trained at Cortex scale | Superseded |
| v14 | About 1 billion parameters | Consumer vehicles on v14.3.x; v14 Lite on HW3 |
| v15 | Rebuilt, about 10 billion parameters | Testing in the Robotaxi fleet; HW4 release targeted late 2026 or early 2027 |
v15 runs on current HW4 computers with 16 GB of memory, so owners will not need AI5. Tesla tied round-the-clock robotaxi operation to v15 validation. Robotaxi launched in Austin in June 2025 and has spread to Dallas, Houston, Miami, Orlando, Tampa and the Bay Area, with 2.4 million paid miles through Q2 2026; the Cybercab began paid rides in Austin on September 4, 2026. See Texas Robotaxi Deployments.
Cortex 2
Vehicle and Humanoid Autonomy
Cortex 2, at the north end, was permitted as a "Central Campus Support Facility" and redesignated in mid-2025 as one large data center. It came online in April 2026 with more than 130,000 H100e; its first phase is 250 MW and its full design 500 MW. Beside it, Tesla's Megapack and switchyard installation is growing toward about 250 units.
Its heaviest workload is the neural world simulator Tesla AI vice president Ashok Elluswamy described at ICCV 2025: a model trained on fleet video that generates training environments in place of a hand-coded physics engine, producing thousands of synthetic variations a day.
The loops
Two Training Loops, One Campus
FSD loop, Cortex 1
- About 4 million vehicles upload selected clips and telemetry
- Cortex 1 trains in cycles of about 70,000 GPU hours
- New weights go to the fleet over the air
- Edge cases from the road flow back
Optimus loop, Cortex 2
- Human demonstration video, fleet footage and Optimus telemetry flow in
- Cortex 2 trains with neural world simulator output
- New weights go to Optimus units over the air
- Units at Fremont and Giga Texas send manipulation data back
Both loops share Tesla's fleet-data ingestion and over-the-air distribution. Fleet video trains Optimus's spatial understanding, and world simulator environments serve FSD.
After Dojo
Nvidia for Training, Tesla Chips for Inference
Tesla disbanded Dojo, its four-year effort to train on its own D1 chip, in August 2025; Musk called it an "evolutionary dead end" because Tesla could not keep pace with Nvidia's release cadence or performance per watt. Its people moved to Cortex, and Tesla's own chip work focused on inference: AI5 from Samsung Taylor in volume from mid-2027, and later generations through the Terafab Research Fab.
| Tier | Silicon | Workload |
|---|---|---|
| Training, FSD | Nvidia H100 and H200 at Cortex 1 | Vehicle autonomy |
| Training, vehicle and humanoid | Nvidia H100 and H200 at Cortex 2 | Vehicle and humanoid models |
| Inference, vehicles | Tesla AI4 and AI4.5 today; AI5 in volume from mid-2027 | On-board FSD |
| Inference, Optimus | Tesla AI5, then AI6 from the Terafab pipeline | On-robot inference |
Power
The Campus's Largest Load
At nearly 400 MW, AI training would draw more than the vehicle factory at full production. Full design for both clusters is about 630 MW. The campus offsets part of it with a 30 MW rooftop solar array and the Cortex 2 Megapack yard.
On August 3, 2026, Governor Abbott told the Public Utility Commission and ERCOT to stop advancing data center interconnections until pending projects are audited; Cortex 2 was already operating. On September 21 he halted new TCEQ data center permits until the audit ends, expected mid-December. See Texas Data Center Moratorium.
Record
Dataset Record
- Sources
- Tesla Q1 and Q2 2026 shareholder updates and Form 8-K; earnings calls; ICCV 2025; Texas DMV registrations via the FSD Database; drone footage
- Power
- Tesla-reported onsite training capacity; targets as stated
- Last verified
- Q4 2026