[新聞] 告別GPU OpenAI推出極速晶圓引擎模型
看板Stock (股票)作者h0103661 (單推人) 每日換婆 (1/1)時間2天前 (2026/02/13 11:13)推噓98(103推 5噓 69→)留言177則, 102人參與討論串1/2 (看更多)
原文標題：
Introducing OpenAI GPT-5.3-Codex-Spark Powered by Cerebras
原文連結：
https://www.cerebras.ai/blog/openai-codexspark
發布時間：
2026-02-12
記者署名：
James Wang
原文內容：
Today, we’re announcing that OpenAI’s new GPT-5.3-Codex-Spark model, powered b
y Cerebras, is available in research preview. This marks the first release in ou
r collaboration between Cerebras and OpenAI. Codex-Spark is designed for real-ti
me software development where responsiveness matters as much as intelligence. Po
wered by the Cerebras Wafer-Scale Engine, it runs at over 1,000 tokens/s, enabli
ng near-instant feedback in live coding environments.
今日，我們正式發布由 Cerebras 技術驅動的 OpenAI 全新模型 GPT-5.3-Codex-Spark，並
開放研究預覽。這是 OpenAI 與 Cerebras 合作的首個里程碑。Codex-Spark 專為對響應速
度要求極高的即時軟體開發而設計。憑藉 Cerebras 晶圓級引擎（Wafer-Scale Engine）的
強大效能，其執行速度突破每秒 1,000 個標記（tokens/s），為即時程式開發環境提供近
乎瞬時的回饋。
Agentic coding has fundamentally changed software development. For the first tim
e, machines can autonomously work for hours or days without human supervision. B
ut this mode of interaction can also leave developers feeling out of the loop wi
th long wait times and less opportunity to direct the work. As software developm
ent is iterative, developers need to inject taste, direction, and sensibility al
ong the way. Codex-Spark is designed for this kind of real-time, iterative work.
It is fast, responsive, and steerable, putting the developer back in the driver
’s seat.
Codex-Spark is a smaller version of Codex optimized for fast inference. On agent
ic software engineering benchmarks such as SWE-Bench Pro and Terminal-Bench 2.0,
it produces more capable responses than GPT-5.1-Codex-mini while completing tas
ks in a fraction of the time.
Codex-Spark excels at making precise edits, revising plans, and answering contex
tual questions about your codebase. It’s a fast way to visualize new layouts, r
efine styling, and test new interface changes.
「代理型編碼」（Agentic coding）已從根本上改變了軟體開發，使機器能獨立運作數小時
甚至數日。然而，這種模式也可能讓開發者因漫長的等待而產生疏離感，減少了引導工作的
機會。由於軟體開發本質上是反覆迭代的過程，開發者需要隨時注入審美、方向感與判斷力
。Codex-Spark 正是為此類即時、互動式工作而生；它反應迅速且易於引導，讓開發者重新
掌握主導權。
Codex-Spark 是針對快速推論（Inference）優化的 Codex 精簡版本。在 SWE-Bench Pro
與 Terminal-Bench 2.0 等代理型軟體工程基準測試中，它的表現優於 GPT-5.1-Codex-min
i，且完成任務的時間僅需後者的一小部分。
Codex-Spark 擅長進行精確編輯、修訂計畫，以及回答關於程式碼庫的脈絡問題。對於視覺
化新佈局、精煉樣式及測試介面更動，它提供了一種極速的實現方式。
"Cerebras has been a great engineering partner, and we’re excited about adding
fast inference as a new platform capability. Bringing wafer-scale compute into p
roduction gives us a new way to keep Codex responsive for latency-sensitive work
, and we’re excited to learn from developer feedback on how to compose our comp
ute capabilities into one smooth workflow," said Sachin Katti, Head of Industria
l Compute at OpenAI.
OpenAI 工業運算負責人 Sachin Katti 表示：「Cerebras 是傑出的工程合作夥伴，我們很
高興將『快速推論』納入平台能力。將晶圓級運算導入生產環境，為維持 Codex 在延遲敏
感型任務中的響應速度提供了全新途徑。我們期待透過開發者的回饋，學習如何將這些運算
能力整合進流暢的工作流中。」
Codex-Spark is just a taste of what’s possible on Cerebras hardware. Our broade
r goal is to accelerate a wide spectrum of AI workloads across both real-time an
d asynchronous use cases. Our purpose-built Wafer-Scale Engine features the larg
est on-chip memory of any AI processor, enabling high-speed inference at thousan
ds of tokens per second per user. The architecture scales out to thousands of sy
stems, extending fast memory capacity into the multi-terabyte domain to support
trillion-parameter models for both training and inference. We expect to bring th
is ultra-fast inference capability to the largest frontier models in 2026.
Codex-Spark is rolling out as a research preview for ChatGPT Pro users across th
e Codex app, CLI, and VS Code extension, with API access rolling out to select d
esign partners. Try Codex-Spark rolling out today.
Codex-Spark 僅是 Cerebras 硬體潛力的初步展現。我們的長遠目標是加速涵蓋即時與異步
（Asynchronous）情境的全方位 AI 工作負載。我們專為 AI 打造的晶圓級引擎擁有業界最
大的片上記憶體（On-chip memory），可支援每位使用者每秒數千個標記的極速推論。該架
構可擴展至數千台系統，將高速記憶體容量提升至多 TB 等級，足以支援兆級參數模型的訓
練與推論。我們預計在 2026 年將此極速推論能力導入最強大的前沿模型中。
Codex-Spark 研究預覽版即日起向 ChatGPT Pro 用戶推送，支援 Codex App、CLI 及 VS C
ode 擴充功能；API 存取權限則將逐步開放給特定設計合作夥伴。歡迎今日立即體驗 Codex
-Spark。
心得/評論：
上個月我有發了兩家合作的消息，
今天正式推出第一個合作產品，推理速度破千的GPT-5！
給大家一個比例尺：平常用的GPT-5速度不到一百。
Cerebras的台積電5奈米晶圓引擎WSE-3是世界唯一的晶圓運算，
由於能直接載入整個AI模型到運算單元上，
速度是GPU的數十倍，
這是Cerebras成立以來第一個企業級應用，
或將衝擊整個GPU市場。
--
※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 42.79.16.163 (臺灣)
※ 文章網址: https://www.ptt.cc/bbs/Stock/M.1770952439.A.F56.html
推
02/13 11:16,
2天前
, 1F
02/13 11:16, 1F
推
02/13 11:16,
2天前
, 2F
02/13 11:16, 2F
推
02/13 11:17,
2天前
, 3F
02/13 11:17, 3F
推
02/13 11:18,
2天前
, 4F
02/13 11:18, 4F
推
02/13 11:18,
2天前
, 5F
02/13 11:18, 5F
推
02/13 11:19,
2天前
, 6F
02/13 11:19, 6F
→
02/13 11:19,
2天前
, 7F
02/13 11:19, 7F
→
02/13 11:20,
2天前
, 8F
02/13 11:20, 8F
推
02/13 11:20,
2天前
, 9F
02/13 11:20, 9F
推
02/13 11:20,
2天前
, 10F
02/13 11:20, 10F
→
02/13 11:21,
2天前
, 11F
02/13 11:21, 11F
推
02/13 11:22,
2天前
, 12F
02/13 11:22, 12F
推
02/13 11:23,
2天前
, 13F
02/13 11:23, 13F
→
02/13 11:24,
2天前
, 14F
02/13 11:24, 14F
推
02/13 11:24,
2天前
, 15F
02/13 11:24, 15F
推
02/13 11:24,
2天前
, 16F
02/13 11:24, 16F
→
02/13 11:24,
2天前
, 17F
02/13 11:24, 17F
推
02/13 11:28,
2天前
, 18F
02/13 11:28, 18F
→
02/13 11:28,
2天前
, 19F
02/13 11:28, 19F
→
02/13 11:28,
2天前
, 20F
02/13 11:28, 20F
推
02/13 11:28,
2天前
, 21F
02/13 11:28, 21F
推
02/13 11:29,
2天前
, 22F
02/13 11:29, 22F
→
02/13 11:29,
2天前
, 23F
02/13 11:29, 23F
推
02/13 11:30,
2天前
, 24F
02/13 11:30, 24F
推
02/13 11:31,
2天前
, 25F
02/13 11:31, 25F
推
02/13 11:33,
2天前
, 26F
02/13 11:33, 26F
推
02/13 11:33,
2天前
, 27F
02/13 11:33, 27F
推
02/13 11:33,
2天前
, 28F
02/13 11:33, 28F
推
02/13 11:35,
2天前
, 29F
02/13 11:35, 29F
→
02/13 11:36,
2天前
, 30F
02/13 11:36, 30F
→
02/13 11:36,
2天前
, 31F
02/13 11:36, 31F
推
02/13 11:36,
2天前
, 32F
02/13 11:36, 32F
推
02/13 11:38,
2天前
, 33F
02/13 11:38, 33F
推
02/13 11:40,
2天前
, 34F
02/13 11:40, 34F
推
02/13 11:41,
2天前
, 35F
02/13 11:41, 35F
推
02/13 11:41,
2天前
, 36F
02/13 11:41, 36F
推
02/13 11:41,
2天前
, 37F
02/13 11:41, 37F
推
02/13 11:42,
2天前
, 38F
02/13 11:42, 38F
推
02/13 11:42,
2天前
, 39F
02/13 11:42, 39F
還有 98 則推文
推
02/13 13:03,
2天前
, 138F
02/13 13:03, 138F
推
02/13 13:07,
2天前
, 139F
02/13 13:07, 139F
推
02/13 13:08,
2天前
, 140F
02/13 13:08, 140F
→
02/13 13:08,
2天前
, 141F
02/13 13:08, 141F
推
02/13 13:15,
2天前
, 142F
02/13 13:15, 142F
推
02/13 13:16,
2天前
, 143F
02/13 13:16, 143F
→
02/13 13:19,
2天前
, 144F
02/13 13:19, 144F
→
02/13 13:21,
2天前
, 145F
02/13 13:21, 145F
推
02/13 13:23,
2天前
, 146F
02/13 13:23, 146F
→
02/13 13:23,
2天前
, 147F
02/13 13:23, 147F
推
02/13 13:26,
2天前
, 148F
02/13 13:26, 148F
推
02/13 13:29,
2天前
, 149F
02/13 13:29, 149F
推
02/13 13:30,
2天前
, 150F
02/13 13:30, 150F
→
02/13 13:31,
2天前
, 151F
02/13 13:31, 151F
→
02/13 13:31,
2天前
, 152F
02/13 13:31, 152F
推
02/13 13:35,
2天前
, 153F
02/13 13:35, 153F
推
02/13 13:38,
2天前
, 154F
02/13 13:38, 154F
→
02/13 13:41,
2天前
, 155F
02/13 13:41, 155F
推
02/13 13:55,
2天前
, 156F
02/13 13:55, 156F
→
02/13 13:56,
2天前
, 157F
02/13 13:56, 157F
→
02/13 13:56,
2天前
, 158F
02/13 13:56, 158F
推
02/13 13:57,
2天前
, 159F
02/13 13:57, 159F
推
02/13 14:02,
2天前
, 160F
02/13 14:02, 160F
→
02/13 14:02,
2天前
, 161F
02/13 14:02, 161F
→
02/13 14:06,
2天前
, 162F
02/13 14:06, 162F
推
02/13 14:24,
2天前
, 163F
02/13 14:24, 163F
推
02/13 15:07,
2天前
, 164F
02/13 15:07, 164F
推
02/13 15:30,
2天前
, 165F
02/13 15:30, 165F
噓
02/13 15:50,
2天前
, 166F
02/13 15:50, 166F
→
02/13 15:51,
2天前
, 167F
02/13 15:51, 167F
→
02/13 15:52,
2天前
, 168F
02/13 15:52, 168F
→
02/13 15:53,
2天前
, 169F
02/13 15:53, 169F
推
02/13 16:05,
2天前
, 170F
02/13 16:05, 170F
推
02/13 16:15,
2天前
, 171F
02/13 16:15, 171F
推
02/13 17:16,
2天前
, 172F
02/13 17:16, 172F
→
02/13 18:19,
2天前
, 173F
02/13 18:19, 173F
推
02/13 19:19,
2天前
, 174F
02/13 19:19, 174F
推
02/13 23:57,
2天前
, 175F
02/13 23:57, 175F
噓
02/14 08:12,
1天前
, 176F
02/14 08:12, 176F
推
02/14 13:38,
1天前
, 177F
02/14 13:38, 177F
討論串 (同標題文章)
完整討論串 (本文為第 1 之 2 篇)：
98
177
Stock 近期熱門文章
PTT職涯區 即時熱門文章
