NVIDIA以搭載GeForce RTX顯示卡的PC加速推動AI應用，Project G-Assist助理可透過外掛擴充功能
其中，隨著升級第5代Tensor Core設計，以及第4代RT Core設計，並且換上GDDR7顯示記憶體，PCIe連接埠規格也換成Gen 5規格的GeForce RTX 5060，讓更多入門級別的PC裝置可藉由DLSS 4技術加持，讓更多預算成本有限的遊戲玩家也能透過人工智慧技術升頻獲得更好遊戲畫面表現，並且能在1080P解析度下最高畫質設定，仍可實現100fps以上穩定畫面輸出。
而在搭載GeForce RTX 5060、同樣支援DLSS 4技術、厚度控制在1.49公分內的筆電陸續進入市場，更代表以Blackwell顯示架構加速運算的人工智慧應用體驗能廣泛進入更多用戶族群。
為了進一步推動人工智慧應用發展，NVIDIA先前已經針對遊戲與應用服務提供AI PC軟體堆疊資源，同時也強調在其TensorRT加速之下，將比使用微軟的DirectML能發揮更高人工智慧執行效能。
此次宣布將於6月推出的TensorRT for RTX開發工具，標榜能比微軟的DirectML提高2倍執行效能，並且對應所有RTX GPU，同時也做好GPU運作最佳化，更以僅有1/8資料庫檔案大小加快執行效率。
另一方面，NVIDIA也說明其AI SDK工具資源已經協助強化超過150款創作及人工智慧應用服務。
其中，可在電腦端以API形式呼叫各類大型語言模型的LM Studio，已經藉由新版CUDA工具提升30%執行效能，而透過人工智慧將影片最佳化調整的Topaz Video AI，同樣也以CUDA工具提高影片生成效率，而包含Autodesk VRED 3D可視化軟體，以及Chaos的3D即時渲染軟體Enscape均以DLSS 4技術提升畫面表現，Bilibili (嗶哩嗶哩)則是藉由NVIDIA的廣播特效技術增加線上直播體驗。
至於先前提出的加速推理微服務NVIDIA NIM，此次也宣布進一步對應至所有RTX GPU，藉此讓更多搭載GeForce RTX顯示卡的PC裝置，都能藉由TensorRT加快各類人工智慧微服務運作，並且相容主流的人工智慧應用工具資源，更可讓開發者能更容易將其人工智慧應用服務佈署於終端PC裝置或雲端。
NVIDIA同時也宣布推出更多NVIDIA微服務與NVIDIA AI Blueprints人工智慧參考工作流程，其中包含Flux AI的flux.1 dev及flux.1 schnell圖像生成模型，以及可讓3D圖像正確生成的參考工作流程。
另外，針對以Ace技術、微服務建構的NVIDIA遊戲內助理服務Project G-Assist則是增加更多外掛程式，使其可串接Discord、Google Gemini、Twitch、IFTTT、Spotify等服務，更允許開發者透過G-Assist Builder工具打造適用於G-Assist的外掛程式，使其增加更多應用功能。
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