Companies/Tesla
USA
Tesla
Trains its driving models on the Cortex cluster at Gigafactory Texas and discloses its size in its quarterly update decks.
Systems this company appears in
- Systems
- 2
- Aggregate Rmax
- 0.0 GFlop/s
- Aggregate power
- 0 kW
- First appearance
- 2023-07
- Most recent
- 2026-04
- Concentration
- -
Aggregate Rmax is the sum of the systems this company supplies any part of. It is not revenue and not attributable share: an integrator and a memory vendor in the same machine both count its full FLOPS here. Attribution weighted by role is Phase 4.
Role breakdown
| Role | Systems | Rmax in those systems |
|---|---|---|
| Integrator | 1 | 0.0 GFlop/s |
| Accelerator | 1 | 0.0 GFlop/s |
Appearances
| System | Supplied as | Shipped under | Rmax | Rank |
|---|---|---|---|---|
| Tesla Cortex 2 USA · 2026-04 | Integrator | Tesla | - | unranked |
| Tesla Dojo USA · 2023-07 | Accelerator | Tesla | - | unranked |
Parts supplied
| Part | Category | Generation | Released |
|---|---|---|---|
| Tesla Dojo D1 | Accelerators | D1 (Dojo v1) | 2021 |
AI datacenters operated
| System | Status | Accelerators | Stated power (MW) |
|---|---|---|---|
| Tesla Cortex | operational | 50,000 | - |
| Tesla Dojo | decommissioned | - | - |
| Tesla Cortex 2 | operational | - | - |
Figures come from the AI datacenter metrics; blank means none recorded.
Sites operated
| Site | Location | Cooling | Commissioned |
|---|---|---|---|
| Tesla Gigafactory Texas | Austin, TX, USA | - | 2024 |
Related news
- DensityAI: Chip startup founded by former Tesla Dojo execs valued at $10bn – report · Data Center DynamicsFormer leads of Tesla's Dojo chip program, shut down in August 2025, have founded DensityAI, reportedly raising a $10bn-valuation round with a performance-contingent purchase agreement from AWS for a new accelerator built around 3D-stacked DRAM -- a concrete example of an abandoned in-house chip effort seeding an independent merchant-silicon entrant. Sourced to a single outlet (The Information) with Amazon, Andreessen Horowitz and DensityAI all declining to confirm the details, so treat as reported rather than verified.
- NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories · HPCwireNVIDIA's new DSX Ready program formalizes third-party qualification of power and cooling hardware against its AI-factory reference design, launching with battery storage from Hitachi Energy, LG Energy Solution and Tesla and cooling-distribution units from LG Electronics, LiquidStack and Vertiv -- a sign that the compute supply chain's constraint is shifting from the accelerators themselves toward the power and thermal infrastructure needed to run them at rack scale. Single-sourced to NVIDIA's own announcement (republished by HPCwire), so recorded as reported rather than verified.
- NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories · NVIDIA BlogNVIDIA's new DSX Ready program formally qualifies third-party power and cooling hardware against its AI-factory reference design, starting with battery storage (Hitachi Energy, LG Energy Solution, Tesla) and liquid-cooling CDUs (LG Electronics, LiquidStack, Vertiv). It's a structural move: NVIDIA is now gatekeeping which power/cooling vendors count as compatible with its rack designs, which shapes who wins facility-layer contracts downstream of the GPU purchase.
Further reading
Inside a node
Why accelerators exist, what the memory hierarchy costs, and how the CPU and accelerator merged onto one package.
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.
Power and cooling
The substation, the heat rejection plant, and the constraint that actually binds.