
特化型Tailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Nebius は月間 1,145,711 訪問、前月比成長率 +10.7%、料金体系有料、料金は要問い合わせを記録しています。Qubinets は月間 802 訪問、成長率 0%、料金体系フリーミアムを記録しています。

Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
| 項目 / 指標 | ![]() | |
|---|---|---|
| 公式ドメイン | nebius.com | qubinets.com |
| 料金モデル | 有料、料金は要問い合わせ | フリーミアム |
| 月間訪問数 | 114.57万 (1,145,711) | 802 (802) |
| 前月比トラフィック増減 | +11.08万 (+10.7%) | +802 (0%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (46.8%) | 🇹🇭 タイ (100%) |
| 月間ダイレクト訪問数 | 44.79万 | 334 |
| ユーザー評価 | 4.5 | 4 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack.
Bare-metal access to NVIDIA GB300, B300, GB200, B200, H200, H100, RTX PRO 6000, and L40S GPUs connected over InfiniBand for training and inference at scale.
A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs.
Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments.
Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads.

Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
Get AI and big-data workloads running on Kubernetes without wiring every component by hand.
Assemble and manage data pipelines that feed models and analytics workloads.
An open-source core that teams can inspect, extend and self-host.
Build and run AI agents alongside your infrastructure rather than as a separate silo.

特化型Tailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.

オープンソースモデル向けの高精度なサーバーレス推論APIやGPUクラスターを提供しますが、生の一流のベアメタル制御の重視度は低めです。
安価なピアツーピアのGPUレンタルマーケットプレイスを提供するが、管理型インフラと比べるとハードウェアの信頼性にバラつきがある。

特化型Provides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
PyTorch Lightning の開発チームが作った AI クラウド
特化型Combines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.

大規模なトレーニング向けの大規模エンタープライズデータセンターGPUクラスターに特化しているが、即時のサーバーレス関数向けのカスタマイズは少なめ。

エンタープライズチーム向けのセルフホスト型クラウド開発環境とAIコーディングエージェント