NVIDIA today announced GTC 2025, the world's premier AI conference, will return March 17-21 to San Jose, California—bringing together the brightest minds in AI to showcase breakthroughs happening now in physical AI, agentic AI and scientific discovery. GTC will bring together 25,000 attendees in person—and 300,000 attendees virtually—for an in-depth look at the technologies shaping the future. NVIDIA founder and CEO Jensen Huang will deliver the keynote from SAP Center on Tuesday, March 18, at 10 a.m. PT focused on AI and accelerated computing technologies changing the world. It will be livestreamed and available on demand at nvidia.com. Registration is not required to view the keynote online.

Onsite attendees can arrive at SAP Center early to enjoy a live pregame show hosted by the "Acquired" podcast and other surprise festivities. Virtual attendees can catch the pregame show live online. "AI is pushing the limits of what's possible—turning yesterday's dreams into today's reality," Huang said. "GTC brings together the brightest scientists, engineers, developers and creators to imagine and build a better future. Come and be first to see the new advances in NVIDIA computing and breakthroughs in AI, robotics, science and the arts that will transform industries and society."

The rapid evolution of generative AI has created countless opportunities for innovation across industry and research. As is often the case with state-of-the-art technology, this evolution has also shifted the landscape of cybersecurity threats, creating new security requirements. Critical infrastructure cybersecurity is advancing to thwart the next wave of emerging threats in the AI era. Leading operational technology (OT) providers today showcased at the S4 conference for industrial control systems (ICS) and OT cybersecurity how they're adopting the NVIDIA cybersecurity AI platform to deliver real-time threat detection and critical infrastructure protection.

Armis, Check Point, CrowdStrike, Deloitte and World Wide Technology (WWT) are integrating the platform to help customers bolster critical infrastructure, such as energy, utilities and manufacturing facilities, against cyber threats. Critical infrastructure operates in highly complex environments, where the convergence of IT and OT, often accelerated by digital transformation, creates a perfect storm of vulnerabilities. Traditional cybersecurity measures are no longer sufficient to address these emerging threats. By harnessing NVIDIA's cybersecurity AI platform, these partners can provide exceptional visibility into critical infrastructure environments, achieving robust and adaptive security while delivering operational continuity.

Quantum computing is one of the most exciting areas in computer science, promising progress in accelerated computing beyond what's considered possible today. It's expected that the technology will tackle myriad problems that were once deemed impractical or even impossible to solve. Quantum computing promises huge leaps forward for fields spanning drug discovery and materials development to financial forecasting.

But just as exciting as quantum computing's future are the breakthroughs already being made today in quantum hardware, error correction and algorithms. NVIDIA is celebrating and exploring this remarkable progress in quantum computing by announcing its first Quantum Day at GTC 2025 on Thursday, March 20. This new focus area brings together leading experts for a comprehensive and balanced perspective on what businesses should expect from quantum computing in the coming decades—mapping the path toward useful quantum applications.

A manufacturing plant near Hsinchu, Taiwan's Silicon Valley, is among facilities worldwide boosting energy efficiency with AI-enabled digital twins. A virtual model can help streamline operations, maximizing throughput for its physical counterpart, say engineers at Wistron, a global designer and manufacturer of computers and electronics systems. In the first of several use cases, the company built a digital copy of a room where NVIDIA DGX systems undergo thermal stress tests (pictured above). Early results were impressive.

Making Smart Simulations
Using NVIDIA Modulus, a framework for building AI models that understand the laws of physics, Wistron created digital twins that let them accurately predict the airflow and temperature in test facilities that must remain between 27 and 32 degrees C. A simulation that would've taken nearly 15 hours with traditional methods on a CPU took just 3.3 seconds on an NVIDIA GPU running inference with an AI model developed using Modulus, a whopping 15,000x speedup. The results were fed into tools and applications built by Wistron developers with NVIDIA Omniverse, a platform for creating 3D workflows and applications based on OpenUSD.

Leaked Samsung PBSSD presentation material popped up online a couple of days prior to the kick-off day of NVIDIA's GTC 2024 conference (March 18)—reports (at the time) jumped on the potential introduction of a "petabyte (PB)-level SSD solution," alongside an enterprise subscription service for the US market. Tom's Hardware took the time to investigate this matter—in-person—on the showroom floor up in San Jose, California. It turns out that interpretations of pre-event information were slightly off—according to on-site investigations: "despite the name, PBSSD is not a petabyte-scale solid-state drive (Samsung's highest-capacity drive can store circa 240 TB), but rather a 'petascale' storage system that can scale-out all-flash storage capacity to petabytes."

Samsung showcased a Supermicro Petascale server design, but a lone unit is nowhere near capable of providing a petabyte of storage—the Tom's Hardware reporter found out that the demonstration model housed: "sixteen 15.36 TB SSDs, so for now the whole 1U unit can only pack up to 245.76 TB of 3D NAND storage (which is pretty far from a petabyte), so four of such units will be needed to store a petabyte of data." Company representatives also had another Supermicro product at their booth: "(an) H13 all-flash petascale system with CXL support that can house eight E3.S SSDs (with) four front-loading E3.S CXL bays for memory expansion."

One key takeaway from the ongoing GTC is that Nvidia's AI empire has taken shape with strong partnerships from TSMC and other Taiwanese makers, such as those major server ODMs.

According to the news report from the technology-focused media DIGITIMES Asia, during his keynote at GTC on March 18, Huang underscored his company's partnerships with TSMC, as well as the supply chain in Taiwan. Speaking to the press later, Huang said Nvidia will have a very strong demand for CoWoS, the advanced packaging services TSMC offers.

SK hynix is displaying its latest AI memory technologies at NVIDIA's GPU Technology Conference (GTC) 2024 held in San Jose from March 18-21. The annual AI developer conference is proceeding as an in-person event for the first time since the start of the pandemic, welcoming industry officials, tech decision makers, and business leaders. At the event, SK hynix is showcasing new memory solutions for AI and data centers alongside its established products.

Showcasing the Industry's Highest Standard of AI Memory
The AI revolution has continued to pick up pace as AI technologies spread their reach into various industries. In response, SK hynix is developing AI memory solutions capable of handling the vast amounts of data and processing power required by AI. At GTC 2024, the company is displaying some of these products, including its 12-layer HBM3E and Compute Express Link (CXL)1, under the slogan "Memory, The Power of AI". HBM3E, the fifth generation of HBM2, is the highest-specification DRAM for AI applications on the market. It offers the industry's highest capacity of 36 gigabytes (GB), a processing speed of 1.18 terabytes (TB) per second, and exceptional heat dissipation, making it particularly suitable for AI systems. On March 19, SK hynix announced it had become the first in the industry to mass-produce HBM3E.

PNY Technologies, a pioneer in high-performance computing, proudly announces the launch of a groundbreaking developer platform, uniting the formidable capabilities of NVIDIA IGX Orin, NVIDIA Holoscan and Magic Leap 2. This visionary kit empowers software and technology vendors to pioneer cutting-edge solutions in healthcare and other industries, redefining the boundaries of innovation.

Key Features of the NVIDIA IGX + Magic Leap 2 XR Bundle:

• Zero Physical World Latency for Mission-Critical Applications: Ensure zero physical world latency for mission-critical applications, offering unparalleled precision and real-time data processing.
• AI Inference and Local Computation: Leverage NVIDIA IGX Orin for AI inference and local computation of complex models, using NVIDIA Holoscan as its real-time multimodal AI sensor processing platform and NVIDIA Metropolis software to offer XR use cases.
• Ultra-Precise Augmented Reality Interface: Magic Leap 2 delivers an ultra-precise augmented reality interface for accurate and immersive experiences.

Samsung Electronics showed off its latest graphics memory innovations at GTC, with an exhibit of its new 32 Gbps GDDR7 memory chip. The chip is designed to power the next generation of consumer and professional graphics cards, and some models of NVIDIA's GeForce RTX "Blackwell" generation are expected to implement GDDR7. The chip Samsung showed off at GTC is of the highly relevant 16 Gbit density (2 GB). This is important, as NVIDIA is rumored to keep graphics card memory sizes largely similar to where they currently are, while only focusing on increasing memory speeds.

The Samsung GDDR7 chip shown is capable of its 32 Gbps speed at a DRAM voltage of just 1.1 V, which beats the 1.2 V that's part of JEDEC's GDDR7 specification, which along with other power management innovations specific to Samsung, translates to a 20% improvement in energy efficiency. Although this chip is capable of 32 Gbps, NVIDIA isn't expected to give its first GeForce RTX "Blackwell" graphics cards that speed, and the first SKUs are expected to ship with 28 Gbps GDDR7 memory speeds, which means NVIDIA could run this Samsung chip at a slightly lower voltage, or with better timings. Samsung also made some innovations with the package substrate, which decreases thermal resistance by 70% compared to its GDDR6 chips. Both NVIDIA and AMD are expected to launch their first discrete GPUs implementing GDDR7, in the second half of 2024.

NVIDIA announced today that leading AI application developers across a wide range of industries are using NVIDIA digital human technologies to create lifelike avatars for commercial applications and dynamic game characters. The results are on display at GTC, the global AI conference held this week in San Jose, Calif., and can be seen in technology demonstrations from Hippocratic AI, Inworld AI, UneeQ and more.

NVIDIA Avatar Cloud Engine (ACE) for speech and animation, NVIDIA NeMo for language, and NVIDIA RTX for ray-traced rendering are the building blocks that enable developers to create digital humans capable of AI-powered natural language interactions, making conversations more realistic and engaging.

NVIDIA is bringing OpenUSD-based Omniverse enterprise digital twins to the Apple Vision Pro. Announced today at NVIDIA GTC, a new software framework built on Omniverse Cloud APIs, or application programming interfaces, lets developers easily send their Universal Scene Description (OpenUSD) industrial scenes from their content creation applications to the NVIDIA Graphics Delivery Network (GDN), a global network of graphics-ready data centers that can stream advanced 3D experiences to Apple Vision Pro.

In a demo unveiled at the global AI conference, NVIDIA presented an interactive, physically accurate digital twin of a car streamed in full fidelity to Apple Vision Pro's high-resolution displays. The demo featured a designer wearing the Vision Pro, using a car configurator application developed by CGI studio Katana on the Omniverse platform. The designer toggles through paint and trim options and even enters the vehicle - leveraging the power of spatial computing by blending 3D photorealistic environments with the physical world.

GIGABYTE Technology and Giga Computing, a subsidiary of GIGABYTE and an industry leader in enterprise solutions, will showcase their solutions at the GIGABYTE booth #1224 at NVIDIA GTC, a global AI developer conference running through March 21. This event will offer GIGABYTE the chance to connect with its valued partners and customers, and together explore what the future in computing holds.

The GIGABYTE booth will focus on GIGABYTE's enterprise products that demonstrate AI training and inference delivered by versatile computing platforms based on NVIDIA solutions, as well as direct liquid cooling (DLC) for improved compute density and energy efficiency. Also not to be missed at the NVIDIA booth is the MGX Pavilion, which features a rack of GIGABYTE servers for the NVIDIA GH200 Grace Hopper Superchip architecture.

MemVerge, a leader in AI-first Big Memory Software, has joined forces with Micron to unveil a groundbreaking solution that leverages intelligent tiering of CXL memory, boosting the performance of large language models (LLMs) by offloading from GPU HBM to CXL memory. This innovative collaboration is being showcased in Micron booth #1030 at GTC, where attendees can witness firsthand the transformative impact of tiered memory on AI workloads.

Charles Fan, CEO and Co-founder of MemVerge, emphasized the critical importance of overcoming the bottleneck of HBM capacity. "Scaling LLM performance cost-effectively means keeping the GPUs fed with data," stated Fan. "Our demo at GTC demonstrates that pools of tiered memory not only drive performance higher but also maximize the utilization of precious GPU resources."

Phison Electronics, a leading provider of NAND controllers and storage solutions, today announced aiDAPTIV+ partnerships with ASUS, Gigabyte, MAINGEAR, and MediaTek. At GTC 2024, Phison and partners will demonstrate aiDAPTIV+, a hybrid hardware and software large language model (LLMs) fine-tune training solution that enables small and medium-sized businesses (SMBs) to process and retain local control of their sensitive machine learning (ML) data.

Foundational training of LLMs gives a broad understanding of language but aiDAPTIV+ enables the fine-tuning process that molds these models into specialized tools capable of understanding the topics that deliver precise results for your business needs. Commodity workstation hardware is enhanced with aiDAPTIV+ software, and first generation aiDAPTIVCache Series ai100 SSDs to enable larger training models than previously possible in a workstation form-factor.

The ecosystem around NVIDIA's technologies has always been verdant—but this is absurd. After a stunning premiere at the World Economic Forum in Davos, immersive artworks based on Refit Anadol Studio's Large Nature Model will come to the U.S. for the first time at NVIDIA GTC. Offering a deep dive into the synergy between AI and the natural world, Anadol's multisensory work, "Large Nature Model: A Living Archive," will be situated prominently on the main concourse of the San Jose Convention Center, where the global AI event is taking place, from March 18-21.

Fueled by NVIDIA's advanced AI technology, including powerful DGX A100 stations and high-performance GPUs, the exhibit offers a captivating journey through our planet's ecosystems with stunning visuals, sounds and scents. These scenes are rendered in breathtaking clarity across screens with a total output of 12.5 million pixels, immersing attendees in an unprecedented digital portrayal of Earth's ecosystems. Refik Anadol, recognized by The Economist as "the artist of the moment," has emerged as a key figure in AI art. His work, notable for its use of data and machine learning, places him at the forefront of a generation pushing the boundaries between technology, interdisciplinary research and aesthetics. Anadol's influence reflects a wider movement in the art world towards embracing digital innovation, setting new precedents in how art is created and experienced.

The spirit of software pioneer Grace Hopper will live on at NVIDIA GTC. Accelerated systems using powerful processors - named in honor of the pioneer of software programming - will be on display at the global AI conference running March 18-21, ready to take computing to the next level. System makers will show more than 500 servers in multiple configurations across 18 racks, all packing NVIDIA GH200 Grace Hopper Superchips. They'll form the largest display at NVIDIA's booth in the San Jose Convention Center, filling the MGX Pavilion.

MGX Speeds Time to Market
NVIDIA MGX is a blueprint for building accelerated servers with any combination of GPUs, CPUs and data processing units (DPUs) for a wide range of AI, high performance computing and NVIDIA Omniverse applications. It's a modular reference architecture for use across multiple product generations and workloads. GTC attendees can get an up-close look at MGX models tailored for enterprise, cloud and telco-edge uses, such as generative AI inference, recommenders and data analytics. The pavilion will showcase accelerated systems packing single and dual GH200 Superchips in 1U and 2U chassis, linked via NVIDIA BlueField-3 DPUs and NVIDIA Quantum-2 400 Gb/s InfiniBand networks over LinkX cables and transceivers. The systems support industry standards for 19- and 21-inch rack enclosures, and many provide E1.S bays for nonvolatile storage.

GIGABYTE Technology, an industry leader in high-performance servers and workstations, today announced participation in the global AI conference, NVIDIA GTC, and will share an AI session and other resources to educate attendees. Additionally, with the release of the NVIDIA L4 Tensor Core GPU, GIGABYTE has already begun qualifying its G-series servers to support it with validation. Last, as the NVIDIA OVX architecture has reached a new milestone, GIGABYTE has begun production of purpose-built GIGABYTE servers based on the OVX 3.0 architecture to handle the performance and scale needed for real-time, physically accurate simulations, expansive 3D worlds, and complex digital twins.

NVIDIA Session (S52463) "Protect and Optimize AI Models on Development Platform"
GTC is a great opportunity for researchers and industries to share what they have learned in AI to help further discoveries. This time around, GIGABYTE has a talk by one of MyelinTek's senior engineers that is responsible for the research and development of MLOps technologies. The session demonstrates an AI solution using a pipeline function to quickly retrain new AI models and encrypt them.

ASUS today announced its participation in NVIDIA GTC, a developer conference for the era of AI and the metaverse. ASUS will offer comprehensive NVIDIA-certified server solutions that support the latest NVIDIA L4 Tensor Core GPU—which accelerates real-time video AI and generative AI—as well as the NVIDIA BlueField -3 DPU, igniting unprecedented innovation for supercomputing infrastructure. ASUS will also launch the new ProArt Studiobook Pro 16 OLED laptop with the NVIDIA RTX 3000 Ada Generation Laptop GPU for mobile creative professionals.

Purpose-built GPU servers for generative AI
Generative AI applications enable businesses to develop better products and services, and deliver original content tailored to the unique needs of customers and audiences. ASUS ESC8000 and ESC4000 are fully certified NVIDIA servers that support up to eight NVIDIA L4 Tensor Core GPUs, which deliver universal acceleration and energy efficiency for AI with up to 2.7X more generative AI performance than the previous GPU generation. ASUS ESC and RS series servers are engineered for HPC workloads, with support for the NVIDIA Bluefield-3 DPU to transform data center infrastructure, as well as NVIDIA AI Enterprise applications for streamlined AI workflows and deployment.

Mitsui & Co., Ltd., one of Japan's largest business conglomerates, is collaborating with NVIDIA on Tokyo-1—an initiative to supercharge the nation's pharmaceutical leaders with technology, including high-resolution molecular dynamics simulations and generative AI models for drug discovery.

Announced today at the NVIDIA GTC global AI conference, the Tokyo-1 project features an NVIDIA DGX AI supercomputer that will be accessible to Japan's pharma companies and startups. The effort is poised to accelerate Japan's $100 billion pharma industry, the world's third largest following the U.S. and China.

Microsoft, Tencent and Baidu are adopting NVIDIA CV-CUDA for computer vision AI. NVIDIA CEO Jensen Huang highlighted work in content understanding, visual search and deep learning Tuesday as he announced the beta release for NVIDIA's CV-CUDA—an open-source, GPU-accelerated library for computer vision at cloud scale. "Eighty percent of internet traffic is video, user-generated video content is driving significant growth and consuming massive amounts of power," said Huang in his keynote at NVIDIA's GTC technology conference. "We should accelerate all video processing and reclaim the power."

CV-CUDA promises to help companies across the world build and scale end-to-end, AI-based computer vision and image processing pipelines on GPUs. The majority of internet traffic is video and image data, driving incredible scale in applications such as content creation, visual search and recommendation, and mapping. These applications use a specialized, recurring set of computer vision and image-processing algorithms to process image and video data before and after they're processed by neural networks.

It has been pretty much confirmed that the NVIDIA GeForce RTX 4070 (non-Ti) is launching in April, but now, the rumored date has been specified as April 13th. The latest report comes from a well known leaker, hongxing2020, over at Twitter, who has a pretty good track record and had correct dates for RTX 30 and RTX 40 series launch dates. In case you missed it, the NVIDIA GeForce RTX 4070 is based on the same AD104 GPU as the RTX 4070 Ti, with slightly fewer cores, but still comes with the same memory specification as the Ti version.

This means the GeForce RTX 4070 should feature 46 streaming multiprocessors (SMs) which should leave it with 5,888 CUDA cores enabled. It will come with 12 GB of GDDR6X memory on a 192-bit memory interface. The TDP is rumored at 200 W. There were some rumors that NVIDIA could have three different SKUs for the RTX 4070, with 16 GB, 12 GB, and 10 GB of VRAM, but so far, this has just remained as a vague rumor coming from Eurasian Economic Commission (EEC) regulatory filings. NVIDIA is slowly completing the RTX 40 series lineup, so hopefully we will not have to wait too long for updates on the RTX 4060 Ti and the RTX 4060. NVIDIA, and its founder and CEO, Jensen Huang, will be holding the opening keynote at GTC on March 21st, so we could get at least some updates for the future GeForce lineup.

NVIDIA today announced that company founder and CEO Jensen Huang will deliver the opening keynote at GTC 2023, covering the latest advancements in generative AI, the metaverse, large language models, robotics, cloud computing and more. More than 250,000 people are expected to register for the four-day event, which will include 650+ sessions from researchers, developers and industry leaders in virtually every computing domain. GTC will also feature a fireside chat with Huang and OpenAI co-founder Ilya Sutskever, plus talks by DeepMind's Demis Hassabis, Stability AI's Emad Mostaque and many others.

"This is the most extraordinary moment we have witnessed in the history of AI," Huang said. "New AI technologies and rapidly spreading adoption are transforming science and industry, and opening new frontiers for thousands of new companies. This will be our most important GTC yet."

During its GTC 2022 session, NVIDIA introduced its new generation of gaming graphics cards based on the novel Ada Lovelace architecture. Dubbed NVIDIA GeForce RTX 40 series, it brings various updates like more CUDA cores, a new DLSS 3 version, 4th generation Tensor cores, 3rd generation Ray Tracing cores, and much more, which you can read about here. However, today, we also got a new Ada Lovelace card intended for the data center. Called the L40, NVIDIA updated its previous Ampere-based A40 design. While the NVIDIA website provides sparse, the new L40 GPU uses 48 GB GDDR6 memory with ECC error correction. Using NVLink, you can get 96GBs of VRAM. Paired with an unknown SKU, we assume that it uses AD102 with adjusted frequencies to lower the TDP and allow for passive cooling.

NVIDIA is calling this their Omniverse GPU, as it is a part of the push to separate its GPUs used for graphics and AI/HPC models. The "L" model in the current product stack is used to accelerate graphics, with display ports installed on the GPU, while the "H" models (H100) are there to accelerate HPC/AI installments where visual elements are a secondary task. This is a further separation of the entire GPU market, where the HPC/AI SKUs get their own architecture, and GPUs for graphics processing are built on a new architecture as well. You can see the specifications provided by NVIDIA below.

ASUS, the leading IT company in server systems, server motherboards and workstations, today announced its presence at NVIDIA GTC - a developer conference for the era of AI and the metaverse. ASUS will focus on three demonstrations outlining its strategic developments in AI, including: the methodology behind ASUS MLPerf Training v2.0 results that achieved multiple breakthrough records; a success story exploring the building of an academic AI data center at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia; and a research AI data center created in conjunction with the National Health Research Institute in Taiwan.

MLPerf benchmark results help advance machine-learning performance and efficiency, allowing researchers to evaluate the efficacy of AI training and inference based on specific server configurations. Since joining MLCommons in 2021, ASUS has gained multiple breakthrough records in the data center closed division across six AI-benchmark tasks in AI training and inferencing MLPerf Training v2.0. At the ASUS GTC session, senior ASUS software engineers will share the methodology for achieving these world-class results—as well as the company's efforts to deliver more efficient AI workflows through machine learning.

GTC—To power the next wave of AI data centers, NVIDIA today announced its next-generation accelerated computing platform with NVIDIA Hopper architecture, delivering an order of magnitude performance leap over its predecessor. Named for Grace Hopper, a pioneering U.S. computer scientist, the new architecture succeeds the NVIDIA Ampere architecture, launched two years ago.

The company also announced its first Hopper-based GPU, the NVIDIA H100, packed with 80 billion transistors. The world's largest and most powerful accelerator, the H100 has groundbreaking features such as a revolutionary Transformer Engine and a highly scalable NVIDIA NVLink interconnect for advancing gigantic AI language models, deep recommender systems, genomics and complex digital twins.