General Compute 每月有 13,828 次造訪,月增率 +7.2%,定價模式為免費試用、需聯絡報價。Salad 每月有 713,519 次造訪,成長率 +10.4%,定價模式為免費試用、付費、需聯絡報價。
General Compute is an inference cloud built around alternative AI silicon rather than standard GPU fleets. The company buys racks of accelerators, racks them in colocation data centres, and handles the cooling, power, and networking itself. On top of that hardware it runs a disaggregated inference stack that splits each request: prompt processing runs on NVIDIA GPUs for prefill, while token generation runs on faster decode chips such as Cerebras, SambaNova, Positron AI, and d-Matrix. Customers get bare metal access or a tokens-per-second SLA.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | generalcompute.com | salad.com |
| 定價模式 | 免費試用、需聯絡報價 | 免費試用、付費、需聯絡報價 |
| 每月造訪次數 | 1.38萬 (13,828) | 71.35萬 (713,519) |
| 月流量變化量 | +924 (+7.2%) | +6.75萬 (+10.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (55.3%) | 🇺🇸 美國 (40.9%) |
| 每月直接造訪 | 6732 | 44.09萬 |
| 使用者評分 | 4.2 | 4.3 |
| 支援平台 | 網站 | 網站 |
General Compute is an inference cloud built around alternative AI silicon rather than standard GPU fleets. The company buys racks of accelerators, racks them in colocation data centres, and handles the cooling, power, and networking itself. On top of that hardware it runs a disaggregated inference stack that splits each request: prompt processing runs on NVIDIA GPUs for prefill, while token generation runs on faster decode chips such as Cerebras, SambaNova, Positron AI, and d-Matrix. Customers get bare metal access or a tokens-per-second SLA.
Prompt processing runs on NVIDIA GPUs while token generation runs on faster ASICs from Cerebras, SambaNova, Positron AI, and d-Matrix.
Buy racks of GPUs for prefill and ASICs for decode, with General Compute handling cooling, power, networking, and the orchestration software.
Inspect each accelerator in an interactive 3D view with its SRAM, power draw, cooling type, and the workloads it suits best.
The platform abstracts bespoke hardware so models run without customers having to learn a new chip toolchain.

編排全球閒置消費級 GPU 的分散式 GPU 雲
在數千個分散式 GPU 節點上調度、監控並重新分配 Docker/OCI 工作負載,節點消失時自動容錯移轉。
隨需存取覆蓋 190 多個國家的閒置消費級 GPU 分散式算力池,優先定價約從每小時 0.015 美元起。
面向開源權重模型的託管 token 端點,按 token 計費,你的資料不會被用於訓練。
在組織內部運行同一套編排堆疊,把閒置工作站 GPU 匯聚成內部相容 OpenAI 的服務。
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