
依功能與用途,為你挑選 12 款 Salad 的替代工具。
| 排名 | 工具與標語 | 官方網域 | 每月造訪次數 | 月增幅 | 定價模式 |
|---|
| 主要市場 |
|---|
| 評分 |
|---|
| 比較 |
|---|
| ● | Salad | salad.com | 71.35萬 | 6.75萬 (+10.4%) | 免費試用、付費、需聯絡報價 | 美國 | 4.3 | 簡介 |
| 1 | RunPod | runpod.io | 288.1萬 | 16.15萬 (+5.9%) | 付費 | 美國 | 4.7 | 比較 |
| 2 | Vast.ai | vast.ai | 125.76萬 | 3.42萬 (+2.8%) | 付費 | 美國 | 4.6 | 比較 |
| 3 | Modal | modal.com | 119.6萬 | 27.72萬 (+30.2%) | 免費增值、需聯絡報價 | 美國 | 4.8 | 比較 |
| 4 | Nebius | nebius.com | 114.57萬 | 11.08萬 (+10.7%) | 付費、需聯絡報價 | 美國 | 4.5 | 比較 |
| 5 | Cerebrium | cerebrium.ai | 2.7萬 | -2.78萬 (-50.8%) | 免費試用、付費 | 美國 | 4.3 | 比較 |
| 6 | Together AI | together.ai | 164.59萬 | 64.77萬 (+64.9%) | 免費增值、付費 | 美國 | 4.7 | 比較 |
| 7 | DeepInfra | deepinfra.com | 45.78萬 | -4.45萬 (-8.9%) | 付費 | 美國 | 4.6 | 比較 |
| 8 | Thunder Compute | thundercompute.com | 10.21萬 | -4.17萬 (-29%) | Paid (per-minute instances, per-second sandboxes) | 美國 | 4.4 | 比較 |
| 9 | TensorDock | tensordock.com | 1.97萬 | -5977 (-23.3%) | 付費 | 美國 | 4.2 | 比較 |
| 10 | FluidStack | fluidstack.io | 15.46萬 | 1.05萬 (+7.3%) | 付費、需聯絡報價 | 美國 | 4.4 | 比較 |
| 11 | Massed Compute | massedcompute.com | 1.18萬 | -2.1萬 (-64.1%) | 付費、需聯絡報價 | 美國 | 4.2 | 比較 |
| 12 | Anyscale | anyscale.com | 4.98萬 | -1.5萬 (-23.2%) | 付費、需聯絡報價 | 美國 | 4.6 | 比較 |
專項更強為 AI 管線提供輕鬆的 Python 無伺服器執行,但專注於 Function-as-a-Service 而非裸機虛擬機。

專項更強Offers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.

Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.

Gives access to competitive cloud GPU virtual machines, but operates traditional data centers instead of P2P.
Gives access to competitive cloud GPU virtual machines, but operates traditional data centers instead of P2P.

Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.

Delivers high-performance bare metal servers and clusters, but lacks a consumer-grade low-cost tier.
Delivers high-performance bare metal servers and clusters, but lacks a consumer-grade low-cost tier.

專項更強Scales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.