The reputation index for AI infrastructure Vol. I · No. 1 · 10 July 2026

DatumIndex

Sine ira et studio — the record, without favour

Provider Dossier · GPU Cloud

Modal

Code-first serverless GPUs; full control of the serving stack.

The Datum Index verdict

Highly commended

Ranked No. 7 of 20 in our composite reputation index, and currently improving.

85 / 100

≈ 4.3 / 5 aggregate · 300 reviewer notes

Composite index · reviewed 10 July 2026

Findings

  1. Modal holds a Datum Index composite reputation of 85 / 100 (≈ 4.3 / 5), ranked No. 7 of 20.
  2. It is a gpu cloud based in New York, USA, founded 2021, offering open-weight model access.
  3. Its flagship offering is Serverless GPU runtime, through its own API.
  4. Pricing is usage-metered rather than per-token (medium confidence).
  5. Reference throughput is ~156 tok/s with ~2000 ms time-to-first-token; stated uptime is 99.7%.
Figure · Dossier No. 7 Standing relative to the field
  • Modal 85
  • Field mean (20 providers) 83
  • Index leader (OpenAI) 91
Composite index (0–100), ranked No. 7 of 20. Source: Datum Index, reviewed 10 July 2026. Editorial composite — indicative, not a measured benchmark.

Modal enters our index at No. 7, a placement that reads as highly commended. The composite rests on 300 reviewer notes gathered across the public record, and it is best understood not as a score out of ten but as a standing among peers. The trend line is pointed upward: reviewer sentiment has strengthened over recent quarters.

In its favour

Code-first serverless GPUs; full control of the serving stack.

On the numbers that flatter it: open-weight access, 2 named compliance attestations, and a reference throughput of ~156 tokens per second.

Points of concern

You build the inference layer; not a turnkey token API.

The caveat a buyer should price in before committing production traffic. As with every entry, we weigh it against the field rather than against perfection.

Incident & Uptime Note

The record of being there

Modal states an availability of 99.7%. Held over a full year, that headline implies on the order of 26.3 hours of cumulative unavailability — a useful sense of scale, though real incidents cluster rather than spread evenly, and a single bad afternoon can outweigh a quiet quarter.

Observatory Panel

Latency & throughput, in distribution

Monthly panels across the models Modal serves medium

Kimi K3 (self-served)

Window TTFT ms — mean · p50 · p90 Throughput tok/s — mean · p50 · p90
May 2026 ~2390 ~2120 ~4250 ~140 ~147 ~172
June 2026 ~2080 ~1950 ~3790 ~151 ~160 ~186
July 2026 ~2330 ~2060 ~4340 ~148 ~151 ~178

Llama 3.3 70B (self-served)

Window TTFT ms — mean · p50 · p90 Throughput tok/s — mean · p50 · p90
May 2026 ~1670 ~1570 ~2920 ~60 ~62 ~70
June 2026 ~1720 ~1620 ~2760 ~56 ~60 ~70
July 2026 ~1520 ~1410 ~3010 ~65 ~69 ~77

All figures are single-stream, per-request rates as one user would see them — never aggregate accelerator throughput. Serving modes are not comparable with one another: shared serverless APIs batch many tenants per accelerator, dedicated and self-served deployments hand one tenant the whole card, and specialist silicon is a regime of its own. Read each figure within its mode.

No field returns on record for Modal yet — the ledger above opens as soon as the first practitioner submission clears verification.

Key Facts

The record, in brief

CategoryGPU Cloud
HeadquartersNew York, USA
Founded2021
Model accessOpen-weight
Flagship / referenceServerless GPU runtime · Bring-your-own; billed by GPU-second
OpenAI-compatible APINo
Pricing model Usage-metered (per GPU-second) medium
Reference throughput~156 tok/s
Reference TTFT~2000 ms
Stated uptime99.7%
ComplianceSOC 2 Type II · GDPR
Composite reputation 85 / 100 · ≈ 4.3 / 5 · 300 notes

Reviewer Notes

What the field says

The 300 notes behind Modal's standing are drawn from the accumulated public verdict of practitioners — the recurring praises and the recurring gripes — rather than from any single survey. Two themes dominate. Admirers return to one point above all: Code-first serverless GPUs; full control of the serving stack. Detractors return to another: You build the inference layer; not a turnkey token API.

We publish neither individual reviews nor reviewer identities; the composite is an editorial synthesis, and the reviewer-note count is an order-of-magnitude indication of how much public signal informs it.

Cross-references

Related dossiers · see also

Peer entries in the same or adjacent category, for comparison against Modal's standing.

Back to the Reputation Index Read §01 — The Landscape