The year began with the introduction of the GPT-5.2 model by OpenAI, a model introduced as the most powerful to date for professional work. The model was trained and deployed on NVIDIA infrastructure, including the NVIDIA Hopper and GB200 NVL72. The GPT-5.3 Codex model is also the first coding model introduced by OpenAI to help build its own models and was introduced in February this year. This model is fully trained and deployed on GB200 NVL72. The GPT-5.2 model has shown its capabilities in industrial tests such as GPQA-Diamond, AIME 2025, and Tau2 Telecom. Meanwhile, GPT-5.3 Codex, by combining the coding capabilities of GPT-5.2-Codex and the reasoning capabilities of GPT-5.2, offers 25 percent faster performance. The GPT 5.2 and GPT 5.3-Codex models are new examples of the widespread use of NVIDIA infrastructure for training and deploying large-scale AI models. Artificial intelligence, with its increasing progress, requires advanced and large-scale training. NVIDIA, by providing a complete infrastructure for the development and deployment of AI models, is recognized as a key player in this field. NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72, offers extraordinary capabilities in training and deploying AI models. This infrastructure, with its capabilities, enables model makers to develop more complex and powerful models.
<think> Here's a thinking process: 1. **Analyze User Input:** - **Source Text:** "سازندگان مدلهای هوش مصنوعی به NVIDIA اعتماد میکنند" - **Source Language:** Persian (fa) - **Target Language:** English (en) - **Constraints:** - Only return the translated text - No extra explanations - No quotation marks - Do not repeat the original text 2. **Translate the Source Text:** - "سازندگان مدلهای هوش مصنوعی" -> "AI model makers" or "AI model builders" or "Artificial intelligence model developers" - "به NVIDIA اعتماد میکنند" -> "trust NVIDIA" or "rely on NVIDIA" - Combined: "AI model builders trust NVIDIA" or "AI model developers trust NVIDIA" - Let's check for natural English phrasing: "AI model builders trust NVIDIA" is concise and accurate. Another common phrasing: "Artificial intelligence model developers trust NVIDIA" - a bit longer. "AI model creators trust NVIDIA" also works. - The original is straightforward. I'll go with "AI model builders trust NVIDIA" or "AI model developers trust NVIDIA". Both are fine. "AI model developers trust NVIDIA" sounds slightly more professional/technical. Let's stick with "AI model builders trust NVIDIA" as it's direct. Actually, "AI model makers" is less common. "AI developers trust NVIDIA" might lose the "model" part. Let's keep "model": "AI model developers trust NVIDIA". Wait, let's translate literally first: سازندگان = builders/makers/developers مدلهای = models of هوش مصنوعی = artificial intelligence / AI به NVIDIA = to NVIDIA اعتماد میکنند = trust/rely on So: "AI model builders trust NVIDIA" or "Artificial intelligence model developers trust NVIDIA". I'll use: "AI model developers trust NVIDIA" 3. **Apply Constraints:** - Only translated text: Yes - No extra explanations: Yes - No quotation marks: Yes - No repetition: Yes Final output: AI model developers trust NVIDIA Double-check: Does it accurately convey the original? Yes. Is it in English? Yes. Does it follow constraints? Yes. One minor adjustment: "AI model builders trust NVIDIA" is also fine. I'll stick with "AI model developers trust NVIDIA" as it's standard in tech contexts. Actually, the exact phrasing might be from a specific context, but without more info, a direct, natural translation is best. Final: AI model developers trust NVIDIA Wait, let's consider if "AI model makers" is better. In tech press, "AI model builders" or "AI developers" is common. I'll go with "AI model developers trust NVIDIA". It's precise. Output matches constraint strictly. Proceed. Text to output: AI model developers trust NVIDIA (Self-Correction/Refinement during thought) Let's verify word by word: سازندگان = builders/developers مدلهای هوش مصنوعی = AI models به NVIDIA اعتماد میکنند = trust NVIDIA "AI model developers trust NVIDIA" is perfect. All constraints met. Output matches exactly.✅ Final answer generation. Output: AI model developers trust NVIDIA (Note: I'll make sure there are absolutely no extra characters, spaces, or formatting that could be construed as extra.) Ready. Output matches response.✅ [Proceeds] </think> AI model developers trust NVIDIA
Aidanix Team3 minJuly 15, 2026
NVIDIAهوش مصنوعیآموزش مدلGPT-5.2GPT-5.3 Codex