COMPUTE ATLAS Supercomputer supply-chain graph
1153 systems 482 sites Sourced data

Supercomputers/Systems/Tesla Dojo

USA · decommissioned · ai training

Tesla Dojo

Also known as Dojo ExaPod

Operated by Tesla .

Phase 1 seed dataset, compiled by hand. These rows were built from public operator, laboratory and vendor sources. A mechanical second-reader pass has since fetched every cited source: 1092 of 1153 systems have a readable citation that names them, and 40 are genuinely weakly sourced. Every claim carries its source and a confidence tier. Treat anything below verified as a lead, not a citation.

Measured performance

Rmax
-
vendor peak
Rpeak
1.10 EFlop/s
Rmax ÷ Rpeak
-
Cores
1,062,000
Power
-
Per watt
- GF/W

Figures are as last publicly reported for the configuration described below, not a live measurement. Where a system was upgraded in place, the post-upgrade configuration is shown and the earlier one appears in the timeline.

What this machine is made of

One row per supplier relationship. “Supplier at build” is the company that shipped the part at the time; where that company has since been acquired, the parent it rolls up to today is shown beside it. That distinction is what makes ticker-level aggregation possible across a thirty-year dataset.

Role Part Supplier at build Quantity Confidence Source
Accelerator Tesla Dojo D1
Accelerators
Custom Dojo ISA (64-bit scalar + 64-byte SIMD vector) · 354C · 2 GHz · 7 nm
3,000 Dojo D1 chips across 120 Training Tiles in the full ExaPOD design
Tesla
3,000
reported
Reported nextplatform.comen.wikipedia.org

The read

Tesla's from-scratch AI-training supercomputer, built around its own D1 processor rather than merchant GPUs. Unveiled at Tesla's first AI Day on 19 August 2021 with the D1 chip and Training Tile module, detailed further at Hot Chips 34 in August 2022, and put into production per Tesla's own Q2 2023 shareholder update (19 July 2023), independently corroborated by TechCrunch's retrospective timeline and by Digitimes' contemporaneous reporting. The full ExaPOD design combines 120 Training Tiles of 25 D1 chips each, 3,000 chips and 1,062,000 usable cores, rated at roughly 1.1 exaflops BF16/CFP8 in Tesla's original announcement and in most subsequent press coverage (Videocardz, HPCWire, Data Center Dynamics); The Next Platform's Hot Chips writeup separately cites a 20-exaflops figure for the full system that looks like an outlier against that widely repeated 1.1 EFLOP figure, so rpeak here uses 1.1 EFLOP (1,100 PFLOP) and flops_basis is vendor_peak rather than hpl_measured, since Dojo was never submitted to TOP500. The exact site was not pinned down across the sources fetched: early builds were associated with a 2022 test that tripped a local substation, while later scale-out plans (mid-2024) targeted Gigafactory Texas, so no site_id is recorded here. Tesla disbanded the Dojo team and shut the program down in August 2025 (confirmed independently by TechCrunch and Electrek), with Elon Musk calling Dojo 2 'an evolutionary dead end' in favor of the AI6 inference chip; Tesla's separate, Nvidia-GPU-based Cortex cluster (see tesla-cortex) is what absorbed the training workload. A Dojo 3 revival was reported in early 2026 but is not yet documented well enough by independent sources to add as its own row.

Timeline

Change history

Source check

We fetched this system's own citations and recorded whether each page actually mentions it. This is a corroboration signal, not a fact check, and it is published so you can see how well the sourcing holds up rather than take it on trust.

Cited sourceResultFound on the page
techcrunch.comnames system, part and countTesla Dojo D1 · counts: 3000
nextplatform.comnames system and partTesla Dojo D1

Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.

Related news

  • DensityAI: Chip startup founded by former Tesla Dojo execs valued at $10bn – report · Data Center Dynamics
    Former 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.

All news →

Further reading