[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-banana-pi-bpi-sm10-risc-v-ai-sbc-zh":3,"tags-banana-pi-bpi-sm10-risc-v-ai-sbc-zh":34,"related-lang-banana-pi-bpi-sm10-risc-v-ai-sbc-zh":45,"related-posts-banana-pi-bpi-sm10-risc-v-ai-sbc-zh":49,"series-tools-6a4a6d56-9d15-4055-848f-3306863c7386":86},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":22,"translated_content":10,"views":23,"is_premium":24,"created_at":25,"updated_at":25,"cover_image":11,"published_at":26,"rewrite_status":27,"rewrite_error":10,"rewritten_from_id":28,"slug":29,"category":30,"related_article_id":31,"status":32,"google_indexed_at":33,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":24},"6a4a6d56-9d15-4055-848f-3306863c7386","Banana Pi BPI-SM10 主打本地 AI","\u003Cp data-speakable=\"summary\">Banana Pi 的 BPI-SM10 是一款主打本地 \u003Ca href=\"\u002Fnews\u002Fopenai-codex-app-feature-tour-2026-zh\">AI\u003C\u002Fa> 的 \u003Ca href=\"\u002Fnews\u002Fcalligo-raises-12-15-million-risc-v-chip-push-zh\">RISC\u003C\u002Fa>-V 單板電腦，最高可到 60 TOPS。\u003C\u002Fp>\u003Cp>說真的，這張板子不是走可愛路線。它直接把 RISC-V、AI 加速和實用 I\u002FO 放在一起。最高 60 TOPS，這數字放在 SBC 圈子裡很兇。\u003C\u002Fp>\u003Cp>它的目標也很明確。不是拿來當入門玩具，而是想讓開發者在本機跑模型、做邊緣運算，順便玩硬體整合。對台灣開發者來說，這種定位其實很有意思。\u003C\u002Fp>\u003Cp>因為你不用每次都把資料丟到雲端。很多測試、推論、原型驗證，直接在板子上做就行。這對隱私、延遲、和斷網情境都更友善。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>規格\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>CPU\u003C\u002Ftd>\u003Ctd>SpacemiT K3，8 顆 X100 核心\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>最高時脈\u003C\u002Ftd>\u003Ctd>2.4 GHz\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI 加速\u003C\u002Ftd>\u003Ctd>8 顆 A100 AI 核心，最高 60 TOPS\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>記憶體\u003C\u002Ftd>\u003Ctd>8 GB、16 GB、32 GB LPDDR5\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>功耗\u003C\u002Ftd>\u003Ctd>18 W 到 35 W\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>I\u002FO\u003C\u002Ftd>\u003Ctd>4x USB 3.0、Gigabit Ethernet、DisplayPort、MIPI-DSI、M.2\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>BPI-SM10 到底是什麼\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.bananapi.com\u002F\" target=\"_blank\" rel=\"noopener\">Banana Pi\u003C\u002Fa> 這次推出的 \u003Ca href=\"https:\u002F\u002Fwww.bananapi.com\u002Fproducts\u002Fbpi-sm10\" target=\"_blank\" rel=\"noopener\">BPI-SM10\u003C\u002Fa>，比較像是 compute module 加 c\u003Ca href=\"\u002Fnews\u002Fcloudflare-ai-agents-create-accounts-buy-domains-zh\">ar\u003C\u002Fa>rier board 的組合。意思很簡單，核心算力在模組上，實用介面放在載板上。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777639256275-0mpu.png\" alt=\"Banana Pi BPI-SM10 主打本地 AI\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種做法的好處很直接。你可以把重點放在運算和擴充，不用把所有東西硬塞成一塊超小板子。對要接 SSD、網路、螢幕和周邊的情境，這種設計比較實際。\u003C\u002Fp>\u003Cp>它用的是 \u003Ca href=\"https:\u002F\u002Fwww.spacemit.com\u002Fen\u002F\" target=\"_blank\" rel=\"noopener\">SpacemiT\u003C\u002Fa> K3。這顆晶片有 8 顆 X100 CPU 核心，最高 2.4 GHz，還有 8 顆 A100 AI 核心。這不是一般玩 GPIO 的 SBC 規格。\u003C\u002Fp>\u003Cul>\u003Cli>4 個 USB 3.0，外接裝置很夠用\u003C\u002Fli>\u003Cli>Gigabit Ethernet，適合固定網路環境\u003C\u002Fli>\u003Cli>DisplayPort 和 MIPI-DSI，能接不同顯示器\u003C\u002Fli>\u003Cli>多個 M.2 插槽，可接 SSD 或擴充卡\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼 RISC-V 這件事重要\u003C\u002Fh2>\u003Cp>RISC-V 的生態還沒 ARM 那麼完整，這是事實。你如果要的是現成教學、現成映像檔、現成外設，\u003Ca href=\"https:\u002F\u002Fwww.raspberrypi.com\u002Fproducts\u002Fraspberry-pi-5\u002F\" target=\"_blank\" rel=\"noopener\">Raspberry Pi 5\u003C\u002Fa> 還是比較省事。\u003C\u002Fp>\u003Cp>但 RISC-V 的吸引力也很明顯。它是開放指令集，對想研究系統軟體、編譯器、Linux kernel、或自訂硬體平台的人來說，這條路很有吸引力。你可以把它當成一個更自由的實驗場。\u003C\u002Fp>\u003Cp>更現實一點說，這板子適合想做本地推論的人。像是小型 \u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa>、影像辨識、感測器資料分析，甚至是邊緣閘道器，都能拿來試。重點是你不用先把雲端 \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa> 串好才開始。\u003C\u002Fp>\u003Cblockquote>“There are two major trends in computing today: open hardware and artificial intelligence,” said \u003Ca href=\"https:\u002F\u002Friscv.org\u002F\" target=\"_blank\" rel=\"noopener\">RISC-V International\u003C\u002Fa> CEO Andrea Gallo in 2024.\u003C\u002Fblockquote>\u003Cp>這句話放在 BPI-SM10 上很貼切。它就是把開放架構和 AI 算力綁在一起，讓開發者有一台可以摸、可以改、可以測的本機設備。\u003C\u002Fp>\u003Cp>但我也講白了，硬體漂亮不代表好用。真正決定成敗的，還是驅動、工具鏈、模型支援和 Linux 整合。如果這些沒跟上，60 TOPS 也只是紙面數字。\u003C\u002Fp>\u003Ch2>跟常見 SBC 比，差在哪\u003C\u002Fh2>\u003Cp>很多人第一個會拿它去比 Raspberry Pi 5。這很合理，因為 Pi 5 是現在最常見的 SBC 參考點。它便宜、資料多、社群大，對新手很友善。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777639252376-er8l.png\" alt=\"Banana Pi BPI-SM10 主打本地 AI\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>但 BPI-SM10 不是要跟 Pi 5 拼入門門檻。它比較像是在比算力密度、AI 加速、和擴充能力。你如果只想做一般桌面或簡單專案，Pi 5 可能更順手。\u003C\u002Fp>\u003Cp>另一個比較對象是 \u003Ca href=\"https:\u002F\u002Fdeveloper.nvidia.com\u002Fembedded\u002Fjetson-modules\" target=\"_blank\" rel=\"noopener\">Nvidia Jetson\u003C\u002Fa>。Jetson 系列在邊緣 AI 已經很成熟，軟體堆疊也比較完整。BPI-SM10 的差別在於它走 RISC-V，這對想避開 ARM 生態的人很有吸引力。\u003C\u002Fp>\u003Cul>\u003Cli>Raspberry Pi 5：生態完整，教學多，適合入門\u003C\u002Fli>\u003Cli>BPI-SM10：最高 60 TOPS，更偏本地 AI 和邊緣運算\u003C\u002Fli>\u003Cli>Jetson：軟體成熟，部署路徑清楚，AI 工程常用\u003C\u002Fli>\u003Cli>BPI-SM10：18 W 到 35 W，散熱和電源需求更高\u003C\u002Fli>\u003C\u002Ful>\u003Cp>功耗這點不能忽略。18 W 到 35 W，已經不是那種插手機充電器就能穩跑的板子。你得準備好電源、散熱器，甚至風扇，不然很容易熱到降頻。\u003C\u002Fp>\u003Cp>這也代表它的使用情境更明確。它不是給你拿來亮燈玩貓狗的。它是給你跑模型、跑服務、跑儲存，甚至當小型家用伺服器用的。\u003C\u002Fp>\u003Ch2>對開發者來說，值不值得等\u003C\u002Fh2>\u003Cp>如果你是台灣開發者，我會這樣看。這板子比較像一台小型實驗機，而不是日常主力機。你可以拿它測 Linux、測 AI 推論、測 RISC-V 相容性，這些都很有價值。\u003C\u002Fp>\u003Cp>尤其是本地 AI 這件事，現在很多人都在講。可是真的要落地，常常卡在資料外流、API 成本、延遲、和網路穩定性。能在本機做推論，很多情境會輕鬆不少。\u003C\u002Fp>\u003Cp>但你還是要看軟體成熟度。硬體規格再漂亮，如果映像檔、SDK、範例程式不夠完整，開發體驗就會很痛。這也是 Banana Pi 長期要補的地方。\u003C\u002Fp>\u003Cp>我覺得 BPI-SM10 的價值，不在於它會不會取代誰。它的價值在於，它讓 RISC-V SBC 不再只停在玩具感。它開始有一點像能真的做事的工具。\u003C\u002Fp>\u003Ch2>我會怎麼看這類板子的下一步\u003C\u002Fh2>\u003Cp>這波 SBC 的方向很清楚。大家都不想只看 CPU 核心數了。現在更在意的是 AI、儲存、網路、和本機運算能力。\u003C\u002Fp>\u003Cp>BPI-SM10 就是這個方向的例子。它把 60 TOPS、LPDDR5、M.2、USB 3.0 和 Gigabit Ethernet 全塞進來。這種配置，明顯就是衝著實用場景去的。\u003C\u002Fp>\u003Cp>接下來要看的，不是規格表，而是價格和軟體。價格如果太高，開發者會直接轉去 Jetson 或 x86 小主機。軟體如果太爛，大家還是會回頭買 Pi 5。\u003C\u002Fp>\u003Cp>所以我的判斷很直接：如果你在找一台能跑本地 AI 的 RISC-V SBC，BPI-SM10 值得列入清單。你不一定要現在下手，但可以先觀察它的 SDK、Linux 支援和實際售價。\u003C\u002Fp>\u003Cp>最後一句話。這種板子真正的考驗，不在發表會，而在你打開終端機之後。能不能順利把模型跑起來，才是重點。\u003C\u002Fp>","Banana Pi 的 BPI-SM10 是一款 RISC-V SBC，主打本地 AI，最高 60 TOPS，還有 USB 3.0、Gigabit Ethernet 和 M.2 擴充。","www.notebookcheck.net","https:\u002F\u002Fwww.notebookcheck.net\u002FHigh-AI-performance-New-RISC-V-SBC-is-a-powerful-Raspberry-Pi-5-alternative.1283186.0.html",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777639256275-0mpu.png",[13,14,15,16,17,18,19,20,21],"Banana Pi","BPI-SM10","RISC-V","本地 AI","SBC","SpacemiT K3","邊緣運算","Raspberry Pi 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實驗是對的","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778767879127-5dna.png","2026-05-14T14:10:26.886397+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":30},"e742fc73-5a65-4db3-ad17-88c99262ceb7","why-openai-api-pricing-is-product-strategy-zh","為什麼 OpenAI API 定價是產品策略，不是註腳","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778749859485-chvz.png","2026-05-14T09:10:26.003818+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":30},"c757c5d8-eda9-45dc-9020-4b002f4d6237","why-claude-code-prompt-design-beats-ide-copilots-zh","為什麼 Claude Code 的提示設計贏過 IDE Copilot","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778742645084-dao9.png","2026-05-14T07:10:29.371901+00:00",{"id":81,"slug":82,"title":83,"cover_image":84,"image_url":84,"created_at":85,"category":30},"4adef3ab-9f07-4970-91cf-77b8b581b348","why-databricks-model-serving-is-right-default-zh","為什麼 Databricks Model Serving 是生產推論的正確預設","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778692245329-a2wt.png","2026-05-13T17:10:30.659153+00:00",[87,92,97,102,107,112,117,122,127,132],{"id":88,"slug":89,"title":90,"created_at":91},"de769291-4574-4c46-a76d-772bd99e6ec9","googles-biggest-gemini-launches-in-2026-zh","Google 2026 最大 Gemini 盤點","2026-03-26T07:26:39.21072+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 工具層","2026-03-26T08:01:46.589694+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 提示工程，真正有用的是什麼","2026-03-26T08:08:12.453028+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"05553086-6ed0-4758-81fd-6cab24b575e0","garry-tan-open-sources-claude-code-toolkit-zh","Garry Tan 開源 Claude Code 工具包","2026-03-26T08:26:20.068737+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","2026-03-26T08:28:09.619964+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"a5f94120-ac0d-4483-9a8b-63590071ac6a","claude-code-vs-cursor-2026-zh","Claude Code 與 Cursor 深度對比：202…","2026-03-26T13:27:14.279193+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"0975afa1-e0c7-4130-a20d-d890eaed995e","practical-github-guide-learning-ml-2026-zh","2026 機器學習入門 GitHub 實用指南","2026-03-27T01:16:49.712576+00:00",{"id":128,"slug":129,"title":130,"created_at":131},"bfdb467a-290f-4a80-b3a9-6f081afb6dff","aiml-2026-student-ai-ml-lab-repo-review-zh","AIML-2026：像課綱的學生實驗 Repo","2026-03-27T01:21:51.467798+00:00",{"id":133,"slug":134,"title":135,"created_at":136},"80cabc3e-09fc-4ff5-8f07-b8d68f5ae545","ai-trending-github-repos-and-research-feeds-zh","AI Trending：把 AI 資源收成一張表","2026-03-27T01:31:35.262183+00:00"]