---
type: "raw_signal"
id: "endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb"
slug: "endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb"
title: "Endpoint Candidates: evaluate and promote inference endpoints"
description: "Modal announced general availability of Endpoint Candidates for all Modal workspaces on October 12, 2026."
retrieval_nugget: "Modal announced general availability of Endpoint Candidates for all Modal workspaces on October 12, 2026."
observed_at: "2026-10-12"
record_date: "2026-10-12"
date_kind: "observed_at"
why_it_matters: "Modal says mirroring is best-effort. Its Pingora-based proxy uses bounded per-candidate buffers and a process-level cap on retained request-body data; if pressure exceeds those limits, mirrored requests are canceled while production and other mirrors continue. The announcement describes a workflow and safeguards, not measured improvements in quality, latency, throughput, or cost."
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "modal.com"
topics: []
entities: ["Modal","Endpoint Candidates","Dedicated Endpoints","Pingora","Hugging Face"]
related_patterns: []
source_url: "https://modal.com/blog/endpoint-candidates"
source_urls: ["https://modal.com/blog/endpoint-candidates"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb/","markdown":"https://newruntime.com/signals/endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb.md","json":"https://newruntime.com/signals/endpoint-candidates-evaluate-and-promote-inference-endpoints-fb9fcb.json"}
---

# Endpoint Candidates: evaluate and promote inference endpoints

## Retrieval answer

Modal announced general availability of Endpoint Candidates for all Modal workspaces on October 12, 2026.

Modal announced general availability of Endpoint Candidates for all Modal workspaces on October 12, 2026. The feature lets teams stage alternative deployments for an existing Dedicated Endpoint and mirror a sample of production traffic to each candidate. Users can choose an open model from Modal’s catalog or supply weights from Hugging Face or a Modal Volume.

Production continues handling the original requests while candidates receive copies. Each candidate has its own URL for existing quality evaluations; the dashboard exposes inference metrics such as latency and throughput and supports performance benchmarks. A candidate can be promoted from the dashboard, initiating a production rollout at the existing Endpoint URL. Endpoint Candidates use standard Modal compute pricing, including compute for mirrored requests.

Modal says mirroring is best-effort. Its Pingora-based proxy uses bounded per-candidate buffers and a process-level cap on retained request-body data; if pressure exceeds those limits, mirrored requests are canceled while production and other mirrors continue. The announcement describes a workflow and safeguards, not measured improvements in quality, latency, throughput, or cost.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

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- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
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