Supercomputers/Systems/LillyPod
USA · operational · ai training
LillyPod
Operated by Eli Lilly at Eli Lilly Indianapolis Campus .
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
- -
- Rpeak
- -
- Rmax ÷ Rpeak
- -
- Cores
- -
- 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 |
|---|---|---|---|---|---|
| Integrator | - NVIDIA DGX SuperPOD reference architecture with Mission Control | NVIDIA | - | Reported | blogs.nvidia.com |
| Accelerator | - 1,016 NVIDIA Blackwell Ultra GPUs (DGX B300 systems) | NVIDIA | 1,016 reported | Verified | blogs.nvidia.comrdworldonline.com |
| Interconnect | - NVIDIA Spectrum-X Ethernet | NVIDIA | - | Reported | blogs.nvidia.com |
AI datacenter metrics
Figures beyond an accelerator count, each with who stated it. What can and cannot be compared across AI datacenters.
| Metric | Value | As of | Basis | Note | Source |
|---|---|---|---|---|---|
| Accelerators | 1,016 accelerators | 2025-10 | Operator stated | NVIDIA blog (28 Oct 2025): DGX SuperPOD of DGX B300 with 1,016 Blackwell Ultra GPUs for Lilly, Indianapolis. R&D World repeats the figure. | blogs.nvidia.comrdworldonline.com |
The read
Eli Lilly's on-premise NVIDIA DGX SuperPOD at its Indianapolis campus, built on 1,016 NVIDIA Blackwell Ultra GPUs (DGX B300 systems) over Spectrum-X Ethernet, first announced at NVIDIA GTC Washington in October 2025 and switched on in February 2026. NVIDIA's own account and the independent trade publication RD World agree on the 1,016-GPU DGX SuperPOD design and the February 2026 go-live, so that specific fact is verified; NVIDIA states AI throughput of over 9,000 petaflops, but that figure is a mixed-precision AI-performance claim rather than an HPL Rmax/Rpeak, so no FLOPS figure is recorded here. Lilly says the system serves genomics, molecule design, single-cell biology and imaging workloads. No TOP500 submission was found.
Site & facility
Eli Lilly Indianapolis Campus
- Location
- Indianapolis, IN, USA
- Commissioned
- 2026
Change history
- 2026-09-24 LillyPod (Eli Lilly) added (USA)
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 source | Result | Found on the page |
|---|---|---|
| blogs.nvidia.com | does not name this system | - |
| rdworldonline.com | names system only | - |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.
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.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.