logo
NVIDIA DLSS 4 Powers Dune: Awakening with Multi-Frame Generation, Brings Path Tracing to F1 25

NVIDIA DLSS 4 Powers Dune: Awakening with Multi-Frame Generation, Brings Path Tracing to F1 25

Web Release3 days ago

NVIDIA DLSS 4 with Multi Frame Generation is multiplying performance in Dune: Awakening. Additionally, EA SPORTS F1 25 is now available, featuring path tracing and support for the full suite of DLSS technologies, including Ray Reconstruction and Multi Frame Generation.
Featuring a stunningly rendered recreation of Arrakis, Funcom's much-anticipated Dune: Awakening allows players to immerse themselves in the rich and imaginative world created by Frank Herbert and brought to life by Denis Villeneuve and Legendary Entertainment's award-winning movies. Rise from survival to dominance on Arrakis, the most dangerous planet in the universe, in a game that combines the grit and creativity of sandbox survival games with the social interactivity of a large, persistent multiplayer game. Following its launch in Advanced Access for Deluxe and Ultimate edition buyers, the general release is on June 10th.
Dune: Awakening includes support for NVIDIA DLSS 4 with Multi Frame Generation, DLSS Frame Generation, DLSS Super Resolution, and NVIDIA Reflex, which reduces PC latency up to 50%. Using the NVIDIA app , DLSS Super Resolution can be upgraded to the enhanced transformer AI model for better image quality. Enabling DLSS 4 with MFG in conjunction with DLSS Super Resolution multiplies frame rates by an average of 4.9X at 4K, max settings.
EA SPORTS invites players to take the lead as a new chapter of Formula 1 begins with EA SPORTS F1 25 , an official game of the 2025 FIA Formula One World Championship. On PC, F1 25 introduces path-traced effects for the first time, taking the game's ray-traced effects to the next level, radically improving realism and immersion. Using a GeForce RTX GPU, F1 25 players can activate DLSS Ray Reconstruction , replacing traditional ray tracing and path tracing denoisers with a unified AI model that greatly increases the fidelity and stability of ray tracing and path tracing, giving all GeForce RTX gamers a better experience.
Additionally, GeForce RTX 50 Series owners can activate DLSS 4 with Multi Frame Generation to multiply performance while GeForce RTX 40 Series owners can accelerate frame rates with DLSS Frame Generation, and all GeForce RTX gamers can use DLSS Super Resolution. Using DLSS 4 with Multi Frame Generation, DLSS Ray Reconstruction, and DLSS Super Resolution, performance multiplies by an average of 7.9X on GeForce RTX 50 Series GPUs at 4K with Ultra High settings and path tracing during a race around a wet Bahrain circuit at night with 20 cars.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Falcon-H1 language model to be offered as NVIDIA NIM Microservice
Falcon-H1 language model to be offered as NVIDIA NIM Microservice

Al Etihad

time5 hours ago

  • Al Etihad

Falcon-H1 language model to be offered as NVIDIA NIM Microservice

12 June 2025 19:17 ABU DHABI (ALETIHAD) The Technology Innovation Institute (TII), a leading global research centre headquartered in Abu Dhabi, has announced that its next-generation open-source language model, Falcon-H1, will be available as a NVIDIA Inference Microservice (NIM), a move that significantly enhances the model's enterprise deployment in parallel with NVIDIA's GTC showcase in Paris, the initiative positions Falcon-H1 for immediate integration across cloud, on-premise and hybrid environments, a statement from TII said. The availability of Falcon-H1 on NIM will enable developers to deploy it with production-grade performance, bypassing the need for complex infrastructure customisation.'Falcon-H1's availability on NVIDIA NIM reflects our ongoing leadership in shaping the future of open, sovereign, and cross-domain deployment-ready AI. It demonstrates that breakthrough innovation from our region is not only competitive on the global stage – it's setting new benchmarks for scalable, secure, and enterprise-ready AI,' said Dr. Najwa Aaraj, CEO of is built on an innovative hybrid Transformer–Mamba architecture, blending the efficiency of state space models (SSMs) with the advanced reasoning power of Transformer networks. This design supports context windows of up to 256,000 tokens, enabling long-context reasoning and high-speed inference with reduced memory overhead. Its multilingual design ensures competitive performance across both high- and low-resource to Dr. Hakim Hacid, Chief AI Researcher at TII, 'Falcon-H1's availability on NVIDIA NIM bridges the gap between cutting-edge model design and real-world operability. It combines our hybrid architecture with the performance and reliability of NVIDIA microservices. Developers can integrate Falcon-H1 optimised for long-context reasoning, multilingual versatility, and real-world applications. What once required weeks of infrastructure tuning becomes achievable in minutes at scale, with multilingual depth, and production resilience.'The integration with NVIDIA's NeMo microservices and AI Blueprints adds full lifecycle tooling for tasks such as data curation, safety guardrails, and post-deployment optimisation. This makes Falcon-H1 a fit for regulated and latency-sensitive AI deployments, further enhancing its credentials as a sovereign AI solution. With over 55 million downloads, the Falcon model family is among the most widely adopted open-source AI efforts from the Middle East. TII's alignment with NVIDIA's enterprise-grade deployment frameworks affirms Falcon-H1's status as a production-ready, sovereign AI alternative to proprietary systems.

Abu Dhabi's Khazna to build Blackwell-ready data halls for NVIDIA across MEA
Abu Dhabi's Khazna to build Blackwell-ready data halls for NVIDIA across MEA

Arabian Business

time9 hours ago

  • Arabian Business

Abu Dhabi's Khazna to build Blackwell-ready data halls for NVIDIA across MEA

Following in the footsteps of the announcement last month during President Donald Trump's official visit that a mega 5 GW UAE-US AI campus will be built in the UAE, Khazna Data Centres (Khazna) said on Wednesday that it is collaborating with NVIDIA to build AI factories in the MEA region. NVIDIA has certified the design of Khazna's next-generation facilities to support the NVIDIA Blackwell architecture. Khazna's ongoing and upcoming infrastructure developments will feature NVIDIA-ready blueprints as standard, ensuring full compatibility with the latest GPU-accelerated workloads. The Abu Dhabi-based Khazna, majority-owned by G42 with MGX and Silver Lake as new minority shareholders, is a global leader in hyperscale digital infrastructure. Hassan Alnaqbi, CEO of Khazna Data Centres, commented: 'The world is entering a new era of AI-driven innovation, and the UAE is uniquely positioned to lead. Our work with NVIDIA represents a bold step forward in delivering high-performance, future-ready infrastructure at an unprecedented scale. It reinforces our support for the UAE's ambitions to become a global AI leader.' Khazna will design the majority of its future data halls with capacities of up to 50 MW, developing individual AI clusters of up to 250 MW. With many of these data halls situated in the planned UAE-US AI campus, this will place the UAE among the world's most advanced AI infrastructure hubs. Khazna is also expanding rapidly across the Middle East, Africa and Europe, with plans to scale up to 1 GW of capacity in countries such as France, Italy, Saudi Arabia, Egypt, Türkiye, and Kenya.

CrowdStrike Secures AI with NVIDIA LLM Integration
CrowdStrike Secures AI with NVIDIA LLM Integration

TECHx

time11 hours ago

  • TECHx

CrowdStrike Secures AI with NVIDIA LLM Integration

Home » Emerging technologies » Cyber Security » CrowdStrike Secures AI with NVIDIA LLM Integration CrowdStrike (NASDAQ: CRWD) has announced the integration of Falcon® Cloud Security with NVIDIA's universal LLM NIM microservices and NeMo Safety. This collaboration delivers full lifecycle protection for artificial intelligence (AI) and over 100,000 large language models (LLMs). The company revealed that the integration expands CrowdStrike's protection for Enterprise AI Factories. With NVIDIA's support, customers can now securely run and scale various LLM applications across hybrid and multi-cloud environments from day one. According to CrowdStrike, the Falcon® platform now secures every stage of AI innovation, from build and runtime to posture management. Daniel Bernard, Chief Business Officer at CrowdStrike, stated that the company is defining how AI is secured across the software development lifecycle. He noted that this collaboration with NVIDIA brings CrowdStrike's cybersecurity leadership to cloud-based AI environments. Justin Boitano, Vice President of Enterprise AI Software at NVIDIA, added that security must match AI's growing scale and speed. He said NVIDIA and CrowdStrike are helping enterprises protect AI workloads from development to deployment. Enterprises can now rely on the NVIDIA Enterprise AI Factory combined with CrowdStrike security. This includes the tools to build, deploy, and run AI and LLM applications efficiently and securely. The NVIDIA LLM NIM microservice container was reported to simplify the shift from development to production. It packages open and specialized LLMs as microservices, enabling high-performance inference across hybrid and multi-cloud environments. This includes systems with AI sovereignty needs. CrowdStrike reported that as LLMs enter production, AI risks increase. These risks include data poisoning, tampering, and sensitive data leakage. The Falcon platform now integrates with NVIDIA NIM to deliver end-to-end protection. It monitors runtime behavior and provides AI-driven detection and response. These are trained on trillions of daily security events and frontline intelligence. In addition, CrowdStrike Falcon Cloud Security offers pre-deployment protection through several capabilities: AI-SPM and AI Model Scanning Shadow AI detection These tools identify risks before models are live and deliver threat intelligence. This intelligence integrates with NVIDIA's NeMo Safety workflows, enhancing the security of foundation models. Furthermore, services like CrowdStrike AI Red Team and Falcon® Adversary OverWatch are available to help secure every stage of AI development and deployment. Together, CrowdStrike and NVIDIA are enabling secure, scalable innovation from code to cloud.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store