
根据功能和用途,为你挑选 12 款 Cognitora 的替代工具。
| 排名 | 工具和标语 | 官方域名 | 月访问量 | 月度增长 (MoM) | 定价模式 |
|---|
| 主要市场 |
|---|
| 评分 |
|---|
| 比较 |
|---|
| ● | Cognitora | cognitora.dev | 0 | 0 (—) | Open Source | 全球 | 4.6 | 概览 |
| 1 | Higress | higress.ai | 1.33万 | -2910 (-17.9%) | 定价请咨询 | 中国 | 4.6 | 比较 |
| 2 | FlexAI | flex.ai | 4.43万 | 6733 (+17.9%) | 免费增值,付费,定价请咨询 | 美国 | 4.2 | 比较 |
| 3 | RunPod | runpod.io | 288.1万 | 16.15万 (+5.9%) | 付费 | 美国 | 4.7 | 比较 |
| 4 | Salad | salad.com | 71.35万 | 6.75万 (+10.4%) | 免费试用,付费,定价请咨询 | 美国 | 4.3 | 比较 |
| 5 | boat | boat.dev | 6.69万 | 5.61万 (+520.8%) | 免费试用,付费 | 美国 | 4.6 | 比较 |
| 6 | Browser Use | browser-use.com | 120.64万 | 35.12万 (+41.1%) | 免费增值,付费,定价请咨询 | 美国 | 4.7 | 比较 |
| 7 | Rivet.dev | rivet.dev | 2.14万 | -1.7万 (-44.3%) | 免费增值,定价请咨询 | 美国 | 4.5 | 比较 |
| 8 | Coder | coder.com | 14.94万 | -2.2万 (-12.8%) | 免费试用,定价请咨询,免费 | 美国 | 4.6 | 比较 |
| 9 | Together AI | together.ai | 164.59万 | 64.77万 (+64.9%) | 免费增值,付费 | 美国 | 4.7 | 比较 |
| 10 | Modal | modal.com | 119.6万 | 27.72万 (+30.2%) | 免费增值,定价请咨询 | 美国 | 4.8 | 比较 |
| 11 | InsForge | insforge.dev | 6.03万 | -7692 (-11.3%) | 免费增值,定价请咨询,免费 | 美国 | 4.4 | 比较 |
| 12 | Nebius | nebius.com | 114.57万 | 11.08万 (+10.7%) | 付费,定价请咨询 | 美国 | 4.5 | 比较 |
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云

免费 / 开源Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
免费 / 开源Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
免费 / 开源面向 AI 与数据负载的无服务器云基础设施
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.
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.