NVIDIA ACE Brings AI Conversations to Game Characters

Matthew Berman explains how NVIDIA ACE combines speech, language models and facial animation, with Mecha BREAK as an early showcase.

MBMatthew Berman진행자 · Forward Future
채널
Matthew Berman
게시일
2024년 8월 22일
영상
0:58
읽기
1분
슬라이드
1
원문
영어
YouTube에서 열기
스크롤하면 영상이 오른쪽 아래로 작아져 계속 재생됩니다. 자막은 읽기 언어를 따릅니다.
읽기 언어2개 언어로 읽을 수 있음
이 글은 아직 한국어 번역이 없어 영어 원문으로 표시합니다.
요약

30초 요약

In this August 2024 short, Matthew Berman describes NVIDIA ACE and the potential of AI-powered game characters. The video identifies him as an NVIDIA partner; its example of Mecha BREAK refers to an NVIDIA technology showcase.

  1. 1A local model for game charactersBerman says developers can use the Nemotron-4 4B model locally on RTX hardware as part of an AI character system.
  2. 2From speech to animated responseHe describes speech recognition, language processing, text-to-speech and facial animation as components that can make NPC interactions more lifelike.
  3. 3A game showcaseNVIDIA presented Mecha BREAK as a showcase of ACE digital-human technology. Berman also points viewers to an online NVIDIA digital-human experience.

핵심 정리

  1. NVIDIA ACE combines speech, language and animation technologies for digital characters.
  2. Nemotron-4 4B Instruct was presented as an on-device language model for game-character interactions on RTX systems.
  3. NVIDIA showcased the technology in a Mecha BREAK demo and offered a digital-human interaction experience online.
전문

챕터별로 다듬은 전문 읽기

원본 자막만 보기
01

AI-powered game characters

Berman introduces NVIDIA ACE and his expectation that digital humans could change games.

Remember NVIDIA ACE and those striking digital humans? I think this kind of technology could change video games by making characters feel more alive. This video is part of an NVIDIA partnership, as disclosed in its description.

02

Model, speech and animation

He describes an on-device language model and the speech and facial-animation components of the character pipeline.

Game developers can use NVIDIA ACE to build AI-powered non-player characters. The Nemotron-4 4B Instruct model can run locally on RTX hardware, giving a character a language model for responding to a player.

A digital character conversation
슬라이드 1 / 1A digital character conversationA character demonstration shows a question and response while Berman discusses speech and facial animation.

The character pipeline can combine Riva automatic speech recognition, natural-language processing, text-to-speech and Audio2Face facial animation. Together, these components can turn spoken input into an answer with a moving face; the exact services and where they run depend on the implementation.

03

Mecha BREAK and online demo

He points to an early game showcase and NVIDIA’s online digital-human experience. The video description identifies him as an NVIDIA partner.

NVIDIA presented Mecha BREAK as an early showcase for its digital-human technology. The company’s 2024 showcase used an on-device language model and animation, with speech recognition on-device and voice synthesis in the cloud. I also point viewers to an NVIDIA online digital-human experience and its AI Decoded blog for more details.

같은 채널의 다른 글

슬라이드 12장34:21EN
Matthew Berman· 2026년 10월 27일Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI Safety엔터프라이즈 AI+2
0:26EN
Matthew Berman· 2026년 10월 25일Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.Human-AI CollaborationFuture of WorkAI Strategy
슬라이드 2장0:36EN
Matthew Berman· 2026년 10월 25일Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.평가(Evals)코딩 에이전트Open-weight models
슬라이드 2장0:21EN
Matthew Berman· 2026년 10월 24일An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.Benchmarks평가(Evals)Generative media
슬라이드 6장25:50EN
Matthew Berman· 2026년 10월 24일Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
슬라이드 2장32:20EN
Matthew Berman· 2026년 10월 23일Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1