Fluidstack VS Panofy
Fluidstack と Panofy を比較してください。Fluidstack と Panofy の違いは何ですか?
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要約
Fluidstack要約
Fluidstack ランディング ページ
Panofy要約
Panofy ランディング ページ
詳細を比較する
Fluidstack の詳細
| カテゴリー | AI開発者向けツール, AIモデル, 大規模言語モデル LLMs |
| Fluidstack ウェブサイト | https://fluidstack.io?utm_source=toolify |
| 追加時間 | 12月 25 2023 |
| Fluidstack の価格 | -- |
Panofy の詳細
| カテゴリー | AI開発者向けツール, AIエージェンシー |
| Panofy ウェブサイト | https://panofy.ai?utm_source=Toolify&utm_medium=referral&utm_campaign=product_launch |
| 追加時間 | 4月 14 2026 |
| Panofy の価格 | -- |
使用量の比較
Fluidstackの使い方
To use Fluidstack, you can either reserve a large-scale GPU cluster for AI training and inference or launch on-demand GPU instances. The platform offers fully managed Kubernetes or Slurm environments, and you can contact their engineers for support.
Panofyの使い方
Activating an Invite Code After registering on the homepage, you will automatically be added to the invite code waitlist. Check your email for your invite code. Training Your Agent Training is the core step in Panofy. Once training is complete, your agent retains the role definition, task scope, and output requirements you have set, and applies them consistently in every subsequent conversation — no need to re-explain the background each time. 1. In the Agent Workspace, click "+ New Agent" in the top-right corner to begin the creation process. 2. Name your agent based on its intended function — for example, "TweetForge". 3. In the training input field, provide instructions or knowledge content for your agent. Define its role, task scope, output format requirements, and tone preferences. 4. Upload files to accelerate knowledge building. Suitable materials include SOPs, business guidelines, evaluation frameworks, and reference examples. 5. Click "Submit" to begin training. You will be automatically redirected to the Agent Workspace, where training progress updates in real time. 6. Once training is complete, the agent's status changes from "Training" to "Ready". You can then proceed to the next step. Assigning Tasks to Your Agent Once training is complete, your agent has internalized its setup and is ready to receive and execute task instructions. Executing a Task 1. In the Agent Workspace, click on the relevant agent to open the conversation interface. 2. Enter your task instructions in the input box and send. The agent will begin executing the task automatically. 3. Results are displayed in real time in the conversation window and simultaneously saved to the "Output" panel on the left. Creating a New Task 1. Click "New Task" in the right-hand navigation bar to create an additional task for the same agent. 2. For complex tasks, the agent will automatically generate a task plan listing each step. You can then choose to execute immediately, schedule execution, or revise the plan. 3. Once execution is confirmed, you can monitor the progress of each sub-task in real time. 4. Click "Import" in the right-hand navigation bar to bring in an existing task plan from another complex task. This allows established workflows to be saved and reused directly. Inviting Collaborators and Sharing 1. Click "Invite" in the right-hand navigation bar to generate an invite link. Anyone with the link can use your trained agent directly, with any credits consumed charged to their own account. You can configure whether to include access to external tools and whether to require a passcode. 2. Click the share icon above the conversation to generate a shareable link for the task record. You can set visibility to "Anyone with the link" or "Only me", and optionally enable playback mode so external viewers can replay the task without needing to register. You're ready to start. Create your first agent, train it, and let it become a genuine part of how you work. The more you put in, the better it gets.
FluidstackとPanofyの長所比較
Fluidstackのコア機能
- Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
- Fully managed infrastructure with Slurm and Kubernetes
- Large scale GPU clusters for training and inference
- On-demand GPU instances
- 24/7 support with 15-minute response times
- 99% uptime guarantee
Panofyのコア機能
- - Agent Training — Train a reusable AI agent with a single sentence. No more rewriting context every session. Your agent carries your instructions forward, reducing communication overhead and token consumption.
- - Long-Term Memory — As your agent works, it automatically learns experience and reflects on mistakes. The more you use it, the better it understands you.
- - Agent Swarm — Manage an entire team of AI agents from one platform. Each agent maintains its own dedicated knowledge base and memory, ready to handle its specialized role.
使用例の比較
Fluidstackの使用例
- Training large AI models
- Running inference at scale
- Deploying and managing GPU clusters
- Accelerating machine learning product development
Panofyの使用例
- You can train a content assistant that understands your brand voice and continuously generates on-tone copy and content ideas.
- You can upload your company's SOPs and product documentation to turn an agent into an onboarding guide for new hires or a customer-facing support bot.
- You can define a competitive analysis framework and have an agent produce structured reports to that same standard, every time.
- What these scenarios share is that the agent doesn't just answer once — it becomes a stable, long-term part of how you work.
FluidstackとPanofyの異なるプラン
Fluidstack
申し訳ありませんが、データはありません
Panofy
$20 / PLUS
$200 / PRO
Fluidstackのトラフィック
Fluidstack は、月間訪問数が 101.4K 件、平均訪問期間が 00:01:06 件です。 Fluidstack の訪問あたりのページ数は 2.58、直帰率は 39.33% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 101.4K |
| 平均訪問時間 | 00:01:06 |
| 1回あたりの訪問ページ数 | 2.58 |
| 直帰率 | 39.33% |
Panofyのトラフィック
Panofy は、月間訪問数が 0 件、平均訪問期間が 00:00:00 件です。 Panofy の訪問あたりのページ数は 0.00、直帰率は 0.00% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 0 |
| 平均訪問時間 | 00:00:00 |
| 1回あたりの訪問ページ数 | 0.00 |
| 直帰率 | 0.00% |
地理的なトラフィック
Fluidstackの上位5の国/地域は次のとおりです：United States 80.13%, United Kingdom 6.42%, India 2.15%, Canada 1.61%, Vietnam 1.48%
上位 5 国/地域
 | 80.13% |
 | 6.42% |
 | 2.15% |
 | 1.61% |
 | 1.48% |
地理的なトラフィック
申し訳ありませんが、データはありません
ウェブサイトのトラフィックソース
Fluidstack へのトラフィックの主なソースは次の 6 つです。vs_sourcesSearchOrganic 34.64%, vs_sourcesSocialOrganic 31.53%, ダイレクト 25.60%, リファーラル 5.40%, メール 1.88%, vs_sourcesGenAi 0.94%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSearchOrganic | 34.64% |
vs_sourcesSocialOrganic | 31.53% |
ダイレクト | 25.60% |
リファーラル | 5.40% |
メール | 1.88% |
vs_sourcesGenAi | 0.94% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
ウェブサイトのトラフィックソース
Panofy へのトラフィックの主なソースは次の 6 つです。メール 0, vs_sourcesGenAi 0, ダイレクト 0, vs_sourcesAffiliate 0, リファーラル 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
メール | 0 |
vs_sourcesGenAi | 0 |
ダイレクト | 0 |
vs_sourcesAffiliate | 0 |
リファーラル | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Fluidstack と Panofy のどちらが優れていますか?
Fluidstack は、Panofy よりも少し人気があるかもしれません。ご覧のとおり、Fluidstack の月間訪問数は 101.4K ですが、Panofy の月間訪問数は 0 です。 そのため、より多くの人が Fluidstack を選択します。 したがって、ソーシャル プラットフォームでは、人々が Fluidstack をより多く推奨する可能性があります。
Fluidstack の平均訪問期間は 00:01:06 ですが、Panofy の平均訪問期間は 00:00:00 です。 また、Fluidstack の訪問あたりのページ数は 2.58、直帰率は 39.33% です。 Panofy の訪問あたりのページ数は 0.00、直帰率は 0.00% です。
Fluidstack の主なユーザーは United States, United Kingdom, India, Canada, Vietnam で、分布は 80.13%, 6.42%, 2.15%, 1.61%, 1.48% です。
他の比較を見る
特徴*
