LLM inference platforms / entity
Modal
Programmable serverless GPU compute used for training and serving.
Proven Execution
0.465
Validated Direction
0.225
Uncertainty X
0.325
Uncertainty Y
0.265
Evidence mass
1.911
Region
OPERATIONAL
Quadrant distribution
Jev `choice` — not a hard 0.5 cut. Confidence 0.46.
- Anchored3.0%
- Operational59.0%
- Directed16.0%
- Forming22.0%
Evidence ledger
Recency half-life 180 days. Weight = 2^(-age/180).
independent · published 2026-09-02 · w=0.915
Cursor lists Modal as a self-hosted agent sandbox partnerCursor’s self-hosted machines announcement names Modal among sandbox providers (with AWS Lambda, Cloudflare, Coder, Daytona, E2B, Namespace, and Vercel) used to run cloud coding agents.
product · accessed 2026-09-24 · w=0.996
Modal siteModal’s public site describes Python-defined serverless containers and GPUs for inference and batch jobs.
Reproducibility
{
"model": "jev-latest",
"state": {
"goal": "Score this entity on the Jev Quadrant rubric using only the supplied evidence.",
"framework": "jev-quadrant-v1",
"topic": {
"id": "llm-inference",
"title": "LLM inference platforms",
"x_axis": "Proven Execution",
"y_axis": "Validated Direction"
},
"entity": {
"id": "modal",
"name": "Modal",
"website": "https://modal.com",
"description": "Programmable serverless GPU compute used for training and serving."
},
"evidence": [
{
"id": "modal-cursor",
"kind": "independent",
"url": "https://cursor.com/blog/self-hosted-machines",
"date": "2026-09-02",
"date_kind": "published",
"recency_weight": 0.9152,
"summary": "Cursor’s self-hosted machines announcement names Modal among sandbox providers (with AWS Lambda, Cloudflare, Coder, Daytona, E2B, Namespace, and Vercel) used to run cloud coding agents.",
"title": "Cursor lists Modal as a self-hosted agent sandbox partner"
},
{
"id": "modal-site",
"kind": "product",
"url": "https://modal.com",
"date": "2026-09-24",
"date_kind": "accessed",
"recency_weight": 0.9962,
"summary": "Modal’s public site describes Python-defined serverless containers and GPUs for inference and batch jobs.",
"title": "Modal site"
}
],
"claims": [],
"independent_checks": [],
"recency": {
"half_life_days": 180,
"as_of": "2026-09-25",
"mass": 1.9114
}
},
"questions": {
"exec_shipped": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Has this entity shipped a generally available product used by third parties?",
"criteria": {
"true": "Independent public evidence shows a generally available product used by third parties.",
"false": "The product is announced, preview-only, or evidenced only by unsourced vendor marketing with no third-party use."
}
},
"exec_adoption": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there credible adoption evidence?",
"criteria": {
"true": "Credible adoption evidence exists: named customers, published user or download counts, case studies, or equivalent.",
"false": "Adoption claims are absent, purely anecdotal, or unsourced."
}
},
"exec_reliability": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of reliability, quality, security/compliance, or operational maturity?",
"criteria": {
"true": "Evidence of reliability, quality, security/compliance, or operational maturity (uptime, incidents handled, certifications, long-running open-source project).",
"false": "No reliability or quality evidence is present."
}
},
"exec_cadence": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of continued delivery after launch?",
"criteria": {
"true": "Evidence of continued delivery after launch (dated releases, changelog, subsequent features).",
"false": "Delivery appears one-shot or stalled."
}
},
"dir_strategy": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there a specific, consistent, dated public strategy or roadmap?",
"criteria": {
"true": "A public strategy or roadmap is specific, consistent, and dated.",
"false": "Direction is vague, contradictory, or only implied."
}
},
"dir_backed": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Are strategy or roadmap claims backed by shipped artifacts in the evidence pack?",
"criteria": {
"true": "Roadmap or strategy claims are backed by shipped artifacts in the evidence pack.",
"false": "Direction is promised without corresponding delivery evidence."
}
},
"dir_distinct": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is the evidenced direction distinct from generic category copy?",
"criteria": {
"true": "The evidenced direction is distinct from generic category copy.",
"false": "Positioning is interchangeable with peers."
}
},
"dir_invested": {
"type": "noul",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of sustained investment in this product?",
"criteria": {
"true": "Evidence of sustained investment (funding used for the product, research, open-source velocity, or platform expansion).",
"false": "No evidence of continued investment."
}
},
"quadrant": {
"type": "choice",
"instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Assign the entity to one Jev Quadrant cell. Do not use a hard 0.5 cut. Weigh the full evidence pack.",
"criteria": {
"ANCHORED": "Both delivery (proven execution) and evidenced direction (validated direction) are strong.",
"DIRECTED": "Validated direction is better evidenced than proven execution.",
"OPERATIONAL": "Proven execution is better evidenced than validated direction.",
"FORMING": "Both axes are thin, early, or contradicted."
}
}
}
}Challenges
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