# General Compute

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、General Compute（generalcompute.com）は AI API に分類される AI プラットフォームで、月間 1.38万の訪問を生み出し、前月比のトラフィック増減は +924（+7.2%）です。主要な地域市場はアメリカ合衆国（トラフィックシェア 55.3%）で、無料トライアル、料金は要問い合わせの料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには Modal（月間 119.6万訪問）、RunPod（月間 288.1万訪問）、Groq（月間 398.79万訪問）が含まれます。

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.

## 主なテレメトリと仕様

| 指標 | 値 |
| :--- | :--- |
| ツール名 | General Compute |
| ハンドル | general-compute |
| Status | active |
| Origin | official |
| Maintenance | active |
| 公式ドメイン | generalcompute.com |
| ウェブサイト URL | https://www.generalcompute.com |
| カテゴリ | AI API, AIモデル, Large Language Models (LLMs), AI開発者ツール |
| 料金モデル | 無料トライアル、料金は要問い合わせ |
| 月間訪問数 | 13,828 |
| 前月比トラフィック変動 | 924 |
| 前月比成長率 | +7.2% |
| 主要市場 | アメリカ合衆国 |
| 市場シェア | 55.3% |
| ダイレクト訪問 | 6,732 |
| オーガニック検索訪問 | — |
| ソーシャル訪問 | — |
| リファラル訪問 | 590 |
| メール訪問 | 309 |
| レビュースコア | 4.2 |
| 保存数 | 0 |
| 対応プラットフォーム | ウェブサイト |
| 請求プラットフォーム |  |
| 属性 | 機能: ウェブサイト; 料金: 無料トライアル; 料金: 料金は要問い合わせ |
| タグ | AI推論, LLM推論, 高速推論, GPU推論の代替, AIモデル, 機械学習API, 推論プロバイダー, ASIC AIハードウェア, OpenAI互換API |

## 概要

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.

## 料金とプラン

Pricing is contract-based and requires a call; it is quoted per engagement according to term, volume, and site rather than published as self-serve rates. Indications of free trial availability exist, but no public price list is shown.

## 主な機能と特長

- **Disaggregated prefill and decode:** Prompt processing runs on NVIDIA GPUs while token generation runs on faster ASICs from Cerebras, SambaNova, Positron AI, and d-Matrix.
- **Bare metal or SLA endpoint:** Buy racks of GPUs for prefill and ASICs for decode, with General Compute handling cooling, power, networking, and the orchestration software.
- **Per-chip specifications:** Inspect each accelerator in an interactive 3D view with its SRAM, power draw, cooling type, and the workloads it suits best.
- **Software for non-standard silicon:** The platform abstracts bespoke hardware so models run without customers having to learn a new chip toolchain.
- **Throughput SLA and failover:** Multi-provider redundancy and automatic failover for production inference, backed by contracted throughput guarantees.

## 主なユースケース

- **Agentic coding and tool use (AI application developers):** Run coding agents and multi-step tool-calling pipelines where hundreds of sequential model calls make per-token latency the deciding factor.
- **Real-time inference at scale (Platform and infrastructure teams):** Serve interactive chat and completion endpoints that need thousands of tokens per second per user to stay responsive.
- **Bare metal accelerators with SLA (ML infrastructure leads):** Procure dedicated accelerators with known power, cooling, and throughput characteristics instead of contending for shared GPU cloud queues.
- **Test non-GPU inference economics (AI startups and enterprises):** Evaluate alternative silicon such as wafer-scale engines and ASIC accelerators for a specific production workload without building a data centre first.

## 強み

- Purpose-built for very low token latency rather than generic GPU rental
- Handles cooling, power, networking, and orchestration so customers don't have to
- Mix of GPU prefill and ASIC decode can improve throughput per rack
- Well funded ($100M Series A) with named chip and partner ecosystem
- Strong fit for agentic and coding workloads with many sequential calls

## 制約・デメリット

- Pricing is contract-based rather than published per-token rates, which slows down self-serve evaluation
- No instant public signup for compute; access begins with a sales conversation
- Newest deployments are scheduled from Q1 2027, so capacity is in ramp-up
- Workloads need to fit the disaggregated prefill/decode model to get the full speed benefit

## よくある質問

### What exactly does General Compute offer?
General Compute is an inference cloud operator that buys and deploys alternative AI chips, then provides them to customers as bare metal or as a managed endpoint with a tokens-per-second SLA. Pricing is arranged per contract based on term, volume, and site.

### Which chips does the platform use?
It uses a disaggregated architecture. Prompt prefill runs on NVIDIA GPUs while token decode runs on ASICs and alternative accelerators from Cerebras, SambaNova, Positron AI, and d-Matrix, so each stage runs on the hardware best suited to it.

### How much faster is it than a GPU cloud?
The company reports up to 2.8x the throughput per rack at a given speed per user versus a GPU-only setup, and up to 16.2x faster end-to-end results in its published open benchmarks, where OpenCode ran identical tasks on both sides.

### Can I get pricing instantly?
No. There is no public self-serve pricing table. You book a call with the team and pricing is set per contract based on term, volume, and site.

### Is capacity already available?
Yes. It operates existing US colocation space with power and cooling matched to each chip, reporting more than 30 MW of capacity, with deployments going live from Q1 2027.

### General Compute の月間トラフィックと成長トレンドはどうですか？
General Compute は現在、月間 1.38万の訪問があり、前月比のトラフィック変動は +924（成長率 +7.2%）です。主要な流入市場はアメリカ合衆国（シェア 55.3%）で、月間 6732 のダイレクト訪問と月間 — のオーガニック検索訪問を含みます。

### General Compute は無料ですか？料金モデルは何ですか？
General Compute は無料トライアル、料金は要問い合わせの料金モデルで運営されています。Pricing is contract-based and requires a call; it is quoted per engagement according to term, volume, and site rather than published as self-serve rates. Indications of free trial availability exist, but no public price list is shown. 対応する請求・チェックアウトプラットフォームには未掲載が含まれます。

### 2026年における General Compute の最適な代替ツールはどれですか？
OpenAITools.app のカテゴリ別トラフィックと機能の適合性に基づくと、General Compute の代替ツールトップ5は次のとおりです: 1. Modal（月間 119.6万訪問）; 2. RunPod（月間 288.1万訪問）; 3. Groq（月間 398.79万訪問）; 4. Lightning AI（月間 27.26万訪問）; 5. Thunder Compute（月間 10.21万訪問）。

### General Compute はどのプラットフォームと主要な AI 機能に対応していますか？
General Compute は AI API, AIモデル, Large Language Models (LLMs), AI開発者ツールに分類され、以下のプラットフォームに対応しています: ウェブサイト。中核機能のタグには AI推論, LLM推論, 高速推論, GPU推論の代替, AIモデル, 機械学習API が含まれます。

## 代替ツール

| ツール名 | 月間訪問数 | 料金モデル | 比較 |
| :--- | :--- | :--- | :--- |
| [Modal](https://openaitools.app/ja/tool/modal-com) | 1,196,021 | フリーミアム、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/general-compute-vs-modal-com) |
| [RunPod](https://openaitools.app/ja/tool/runpod) | 2,881,043 | 有料 | [比較](https://openaitools.app/ja/compare/general-compute-vs-runpod) |
| [Groq](https://openaitools.app/ja/tool/groq) | 3,987,936 | 有料 | [比較](https://openaitools.app/ja/compare/general-compute-vs-groq) |
| [Lightning AI](https://openaitools.app/ja/tool/lightning-ai) | 272,562 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/general-compute-vs-lightning-ai) |
| [Thunder Compute](https://openaitools.app/ja/tool/thunder-compute) | 102,147 | Paid (per-minute instances, per-second sandboxes) | [比較](https://openaitools.app/ja/compare/general-compute-vs-thunder-compute) |
| [Cerebrium](https://openaitools.app/ja/tool/cerebrium) | 26,974 | 無料トライアル、有料 | [比較](https://openaitools.app/ja/compare/cerebrium-vs-general-compute) |
| [Cerebras](https://openaitools.app/ja/tool/cerebras) | 701,013 | 料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/cerebras-vs-general-compute) |
| [Vast.ai](https://openaitools.app/ja/tool/vast-ai) | 1,257,554 | 有料 | [比較](https://openaitools.app/ja/compare/general-compute-vs-vast-ai) |
| [Together AI](https://openaitools.app/ja/tool/together-ai) | 1,645,930 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/general-compute-vs-together-ai) |
| [Nebius](https://openaitools.app/ja/tool/nebius) | 1,145,711 | 有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/general-compute-vs-nebius) |
| [Salad](https://openaitools.app/ja/tool/salad-gpu-cloud) | 713,519 | 無料トライアル、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/general-compute-vs-salad-gpu-cloud) |
| [FluidStack](https://openaitools.app/ja/tool/fluidstack) | 154,620 | 有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/fluidstack-vs-general-compute) |

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出典: https://openaitools.app/ja/tool/general-compute