COMPUTEX -- NVIDIA today announced new NVIDIA
RTX™ technology to power AI assistants and digital humans running
on new GeForce RTX™ AI laptops.
NVIDIA unveiled Project G-Assist — an RTX-powered AI assistant
technology demo that provides context-aware help for PC games and
apps. The Project G-Assist tech demo debuted with ARK: Survival
Ascended from Studio Wildcard. NVIDIA also introduced the first
PC-based NVIDIA NIM™ inference microservices for the NVIDIA ACE
digital human platform.
These technologies are enabled by the NVIDIA RTX AI Toolkit, a
new suite of tools and software development kits that aid
developers in optimizing and deploying large generative AI models
on Windows PCs. They join NVIDIA’s full-stack RTX AI innovations
accelerating over 500 PC applications and games and 200 laptop
designs from manufacturers.
In addition, newly announced RTX AI PC laptops from ASUS and MSI
feature up to GeForce RTX 4070 GPUs and power-efficient
systems-on-a-chip with Windows 11 AI PC capabilities. These Windows
11 AI PCs will receive a free update to Copilot+ PC experiences
when available.
“NVIDIA launched the era of AI PCs in 2018 with the release of
RTX Tensor Core GPUs and NVIDIA DLSS,” said Jason Paul, vice
president of consumer AI at NVIDIA. “Now, with Project G-Assist and
NVIDIA ACE, we’re unlocking the next generation of AI-powered
experiences for over 100 million RTX AI PC users.”
Project G-Assist, a GeForce AI AssistantAI
assistants are set to transform gaming and in-app experiences —
from offering gaming strategies and analyzing multiplayer replays
to assisting with complex creative workflows. Project G-Assist is a
glimpse into this future.
PC games offer vast universes to explore and intricate mechanics
to master, which are challenging and time-consuming feats even for
the most dedicated gamers. Project G-Assist aims to put game
knowledge at players’ fingertips using generative AI.
Project G-Assist takes voice or text inputs from the player,
along with contextual information from the game screen, and runs
the data through AI vision models. These models enhance the
contextual awareness and app-specific understanding of a large
language model (LLM) linked to a game knowledge database, and then
generate a tailored response delivered as text or speech.
NVIDIA partnered with Studio Wildcard to demo the technology
with ARK: Survival Ascended. Project G-Assist can help answer
questions about creatures, items, lore, objectives, difficult
bosses and more. Because Project G-Assist is context-aware, it
personalizes its responses to the player’s game session.
In addition, Project G-Assist can configure the player’s gaming
system for optimal performance and efficiency. It can provide
insights into performance metrics, optimize graphics settings
depending on the user’s hardware, apply a safe overclock and even
intelligently reduce power consumption while maintaining a
performance target.
First ACE PC NIM DebutsNVIDIA ACE technology
for powering digital humans is now coming to RTX AI PCs and
workstations with NVIDIA NIM — inference microservices that enable
developers to reduce deployment times from weeks to minutes. ACE
NIM microservices deliver high-quality inference running locally on
devices for natural language understanding, speech synthesis,
facial animation and more.
At COMPUTEX, the gaming debut of NVIDIA ACE NIM on the PC will
be featured in the Covert Protocol tech demo, developed in
collaboration with Inworld AI. It now showcases NVIDIA Audio2Face™
and NVIDIA Riva automatic speech recognition running locally on
devices.
Windows Copilot Runtime to Add GPU Acceleration for
Local PC SLMsMicrosoft and NVIDIA are collaborating to
help developers bring new generative AI capabilities to their
Windows native and web apps. This collaboration will provide
application developers with easy application programming interface
(API) access to GPU-accelerated small language models (SLMs) that
enable retrieval-augmented generation (RAG) capabilities that run
on-device as part of Windows Copilot Runtime.
SLMs provide tremendous possibilities for Windows developers,
including content summarization, content generation and task
automation. RAG capabilities augment SLMs by giving the AI models
access to domain-specific information not well represented in base
models. RAG APIs enable developers to harness application-specific
data sources and tune SLM behavior and capabilities to application
needs.
These AI capabilities will be accelerated by NVIDIA RTX GPUs, as
well as AI accelerators from other hardware vendors, providing end
users with fast, responsive AI experiences across the breadth of
the Windows ecosystem.
The API will be released in developer preview later this
year.
4x Faster, 3x Smaller Models With the RTX AI
ToolkitThe AI ecosystem has built hundreds of thousands of
open-source models for app developers to leverage, but most models
are pretrained for general purposes and built to run in a data
center.
To help developers build application-specific AI models that run
on PCs, NVIDIA is introducing RTX AI Toolkit — a suite of tools and
SDKs for model customization, optimization and deployment on RTX AI
PCs. RTX AI Toolkit will be available later this month for broader
developer access.
Developers can customize a pretrained model with open-source
QLoRa tools. Then, they can use the NVIDIA TensorRT™ model
optimizer to quantize models to consume up to 3x less RAM. NVIDIA
TensorRT Cloud then optimizes the model for peak performance across
the RTX GPU lineups. The result is up to 4x faster performance
compared with the pretrained model.
The new NVIDIA AI Inference Manager SDK, now
available in early access, simplifies the deployment of ACE to PCs.
It preconfigures the PC with the necessary AI models, engines and
dependencies while orchestrating AI inference seamlessly across PCs
and the cloud.
Software partners such as Adobe, Blackmagic Design and Topaz are
integrating components of the RTX AI Toolkit within their popular
creative apps to accelerate AI performance on RTX PCs.
“Adobe and NVIDIA continue to collaborate to deliver
breakthrough customer experiences across all creative workflows,
from video to imaging, design, 3D and beyond,” said Deepa
Subramaniam, vice president of product marketing, Creative Cloud at
Adobe. “TensorRT 10.0 on RTX PCs delivers unprecedented performance
and AI-powered capabilities for creators, designers and developers,
unlocking new creative possibilities for content creation in
industry-leading creative tools like Photoshop.”
Components of the RTX AI Toolkit, such as TensorRT-LLM, are
integrated in popular developer frameworks and applications for
generative AI, including Automatic1111, ComfyUI, Jan.AI, LangChain,
LlamaIndex, Oobabooga and Sanctum.AI.
AI for Content CreationNVIDIA is also
integrating RTX AI acceleration into apps for creators, modders and
video enthusiasts.
Last year, NVIDIA introduced RTX acceleration using TensorRT for
one of the most popular Stable Diffusion user interfaces,
Automatic1111. Starting this week, RTX will also accelerate the
highly popular ComfyUI, delivering up to a 60% improvement in
performance over the currently shipping version, and 7x faster
performance compared with the MacBook Pro M3 Max.
NVIDIA RTX Remix is a modding platform for remastering classic
DirectX 8 and DirectX 9 games with full ray tracing, NVIDIA DLSS
3.5 and physically accurate materials. RTX Remix includes a runtime
renderer and the RTX Remix Toolkit app, which facilitates the
modding of game assets and materials.
Last year, NVIDIA made RTX Remix Runtime open source, allowing
modders to expand game compatibility and advance rendering
capabilities.
Since RTX Remix Toolkit launched earlier this year, 20,000
modders have used it to mod classic games, resulting in over 100
RTX remasters in development on the RTX Remix Showcase Discord.
This month, NVIDIA will make the RTX Remix Toolkit open source,
allowing modders to streamline how assets are replaced and scenes
are relit, increase supported file formats for RTX Remix’s asset
ingestor and bolster RTX Remix’s AI Texture Tools with new
models.
In addition, NVIDIA is making the capabilities of RTX Remix
Toolkit accessible via a REST API, allowing modders to livelink RTX
Remix to digital content creation tools such as Blender, modding
tools such as Hammer and generative AI apps such as ComfyUI. NVIDIA
is also providing an SDK for RTX Remix Runtime to allow modders to
deploy RTX Remix’s renderer into other applications and games
beyond DirectX 8 and 9 classics.
With more of the RTX Remix platform being made open source,
modders across the globe can build even more stunning RTX
remasters.
NVIDIA RTX Video, the popular AI-powered super-resolution
feature supported in the Google Chrome, Microsoft Edge and Mozilla
Firefox browsers, is now available as an SDK to all developers,
helping them natively integrate AI for upscaling, sharpening,
compression artifact reduction and high-dynamic range (HDR)
conversion.
Coming soon to video editing software Blackmagic Design’s
DaVinci Resolve and Wondershare Filmora, RTX Video will enable
video editors to upscale lower-quality video files to 4K
resolution, as well as convert standard dynamic range source files
into HDR. In addition, the free media player VLC media will soon
add RTX Video HDR to its existing super-resolution capability.
Learn more about RTX AI PCs and technology by joining NVIDIA at
COMPUTEX.
About NVIDIANVIDIA (NASDAQ: NVDA) is the world
leader in accelerated computing.
For further information, contact:Jordan
DodgeNVIDIA Corporation+1-408-566-6792jdodge@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, performance,
and availability of our products, services, and technologies,
including NVIDIA RTX technology, GeForce RTX AI laptops, Project
G-Assist, NVIDIA NIM inference microservices, NVIDIA ACE digital
human platform, NVIDIA RTX AI Toolkit, GeForce RTX 4070 GPUs, RTX
Tensor Core GPUs, DLSS, NVIDIA Audio2Face, NVIDIA Riva, NVIDIA
TensorRT, NVIDIA AI Inference Manager, NVIDIA RTX Remix, NVIDIA
DLSS 3.5, RTX Remix Runtime, and NVIDIA RTX Video; the benefits and
impact of NVIDIA’s collaboration with third parties, and the
features and availability of their services and offerings; third
parties using or adopting NVIDIA’s products or technologies and the
benefits thereof; RAG APIs enabling developers to harness
application-specific data sources and tune SLM behavior and
capabilities to application needs; and NVIDIA unlocking the next
generation of AI-powered experiences for over 100 million RTX AI PC
users, are forward-looking statements that are subject to risks and
uncertainties that could cause results to be materially different
than expectations. Important factors that could cause actual
results to differ materially include: global economic conditions;
our reliance on third parties to manufacture, assemble, package and
test our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners' products; design,
manufacturing or software defects; changes in consumer preferences
or demands; changes in industry standards and interfaces;
unexpected loss of performance of our products or technologies when
integrated into systems; as well as other factors detailed from
time to time in the most recent reports NVIDIA files with the
Securities and Exchange Commission, or SEC, including, but not
limited to, its annual report on Form 10-K and quarterly reports on
Form 10-Q. Copies of reports filed with the SEC are posted on the
company's website and are available from NVIDIA without charge.
These forward-looking statements are not guarantees of future
performance and speak only as of the date hereof, and, except as
required by law, NVIDIA disclaims any obligation to update these
forward-looking statements to reflect future events or
circumstances.
Many of the products and features described herein remain in
various stages and will be offered on a when-and-if-available
basis. The statements above are not intended to be, and should not
be interpreted as a commitment, promise, or legal obligation, and
the development, release, and timing of any features or
functionalities described for our products is subject to change and
remains at the sole discretion of NVIDIA. NVIDIA will have no
liability for failure to deliver or delay in the delivery of any of
the products, features, or functions set forth herein.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, Audio2Face, GeForce RTX, NVIDIA NIM, NVIDIA RTX and
TensorRT are trademarks and/or registered trademarks of NVIDIA
Corporation in the U.S. and other countries. Other company and
product names may be trademarks of the respective companies with
which they are associated. Features, pricing, availability and
specifications are subject to change without notice.
A photo accompanying this announcement is available
at:https://www.globenewswire.com/NewsRoom/AttachmentNg/25d171ac-da6c-4ebb-880e-71d26b0f5f1e
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