During GTC 2025, NVIDIA unveiled the professional (PRO) side of its "Blackwell" GPU line—headlined by a monstrous GDDR7 96 GB option, that unleashes the full potential of their GB202 die. Industry watchdogs anticipated sky-high pricing, as befits such a potent specification sheet/feature set. As reported by VideoCardz over the past weekend, a North American enterprise PC hardware store—Connection—has populated its webshop with several of Team Green's brand-new RTX PRO Blackwell Series SKUs. The publication received tip-offs from a portion of its readership; including some well-heeled individuals who have already claimed pre-orders. Starting off, the investigation highlighted upper crust offerings: "the flagship model, called the RTX PRO 6000 with 96 GB of VRAM, will launch at $8435 (bulk) to $8565 (box), and this price seemingly applies to both models: the Workstation Edition and a sub-variant called Max-Q. Both are equipped with the same specs, but the latter is capped at 300 W TDP while retaining 88% of the Al performance, claimed NVIDIA."

Connection has removed its RTX PRO 6000 Blackwell and RTX PRO 6000 Blackwell Max-Q product pages, but the rest of Team Green's professional stack is still visible (see relevant screenshot below). The RTX PRO 5000 Blackwell 48 GB card is priced at $4569.24 (or $4439.50 for bulk). The cheapest offering is a $696.54 RTX PRO 2000 Blackwell 8 GB model. Officially, NVIDIA and its main professional series board partner—PNY—only revealed 4500, 5000 and 6000 product tiers. VideoCardz put a spotlight on some of these unannounced options, including: "the RTX 4000 non-SFF version, while this retailer has six listings for such SKUs (two SFF and two non-SFF, both in bulk and box variants). Presumably, this would suggest that NVIDIA may launch a non-SFF version later. However, the company didn't put 'SFF' in the official card's name, so perhaps this information is no longer valid, and there's only one model." According to a GDM/Hermitage AkiHabara Japan press release, a local reseller—Elsa—is preparing NVIDIA RTX PRO 6000 Blackwell Workstation Edition and RTX PRO 6000 Blackwell Max-Q Workstation Edition stock for scheduled release "in May 2025, while the other models are scheduled for release around summer." Additionally, another retailer (ASK Co., Ltd.): "has stated that the price and release date are subject to inquiry."

Kioxia's LC9 Series 122.88 TB NVMe SSD was photographed on the show floor at NVIDIA's GTC 2025 by Tom's Hardware, revealing the first production-ready implementation of the company's BiCS FLASH generation 8 3D QLC technology with 2 Tb die density. The 2.5-inch form factor drive delivers immense storage density in the enterprise SSD market on a PCIe 5.0 connection. The LC9 Series features a dual-port design providing 32 GT/s throughput via PCIe 5.0 1x4 or 2x2 configurations, with NVMe 2.0 and NVMe-MI compliance. Built specifically to address density requirements for AI workloads, the drive leverages CMOS directly Bonded to Array (CBA) technology in its flash architecture. The enterprise-class unit is rated at 0.3 drive writes per day (DWPD) and 67,000 TBW endurance, positioning it for read-intensive applications rather than write-heavy workloads. The reported read speeds are around 15 GB/s, as demonstrated at the booth.

The LC9 supports vector database operations through Kioxia's AiSAQ technology implementation, which transfers vector database operations from DRAM to SSD storage. This approach significantly reduces system-level costs while maintaining acceptable latency profiles for AI RAG operations. Kioxia demonstrated the SSD at booth #1811 at the San Jose McEnery Convention Center through March 21, with live performance demonstrations highlighting its capabilities in AI dataset retrieval operations. The drive represents a critical advancement for enterprise AI infrastructure where data density and retrieval speeds are becoming bottlenecks in scaled LLM deployments. A massive capacity will allow entire enterprises to operate AI LLMs on top of company data with RAG and at low latency and high endurance.

NVIDIA's CEO Jensen Huang made some interesting commentary for the Financial Times, stating that the company will procure over half a trillion US Dollars worth of electronics over the next four years, and it it plans to keep hundreds of billions from the supply chain procurement in the US. "Overall, we will procure, over the course of the next four years, probably half a trillion dollars worth of electronics in total. And I think we can easily see ourselves manufacturing several hundred billion of it here in the US," said Jensen for FT. NVIDIA currently manufactures its silicon at TSMC's facilities, as well as electronics like motherboards and servers at Foxconn. However, the geopolitical situation is making NVIDIA reconsider its supply chain dependencies, and the company is looking for more US-based manufacturing.

NVIDIA confirmed that its latest "Blackwell" series of GPUs, including the latest Blackwell Ultra, are being manufactured at TSMC's Arizona facilities. TSMC announced a $100 billion investment in its Arizona expansion, and NVIDIA is ready to take up more of TSMC's capacity to meet its ever-growing demand for GPUs. During the GTC 2025 event, Jensen noted that only four cloud service providers will use 3.6 million GPUs this year. That is without any AI labs and enterprises, which are massive consumers of GPUs (xAI only has 200,000 GPU clusters). To continue manufacturing excellence so customers won't suffer, NVIDIA is also looking at other options for supply chain manufacturing partners. Intel, the only US-based company capable of producing advanced silicon, is a potential target for NVIDIA. "We evaluate their foundry technology on a regular basis, and we are ongoing in doing that... We look for opportunities to be a customer of theirs... I have every confidence that Intel can do it," added Jensen, who also stated that NVIDIA is interested in silicon manufacturing and chip packaging services, as Intel's Foveros 3D packaging and other technologies are attractive for Team Green.

The "standard" ASUS ROG Astral RTX 5090 OC Edition is already a really an "astronomically expensive" prospect (if you can find available stock); launch MSRP was $2800, but retailers pushed that figure beyond the $3000 mark. An even fancier golden variant exists—as a reminder; news outlets picked up on the existence of a "Dhahab" model early last month. This luxuriously decorated collector piece was likely introduced as a regional exclusive, for MENA (Middle-East and North Africa). This week, ASUS managed to sneak one gold encrusted sample out to San Francisco, California.

Ernest Cheng—Director of Marketing at the firm's North American branch—shared a photo (via LinkedIn) of the very unique ROG Astral RTX 5090 Dhahab OC Edition model; freshly scribbled on by Jensen Huang during GTC 2025. The ASUS exec commented on this blessing: "graphics card is one of a kind when it's been anointed. But it says a lot more when it's a Golden ROG RTX 5090 Astral." Press outlets reckon that this extremely special item will be auctioned off for charity; the presence of Team Green CEO's autograph and slogan ("RTX ON!") will boost its value severalfold. A Jensen Huang-signed ROG MATRIX RTX 4090 PLATINUM card attracted a top bid of $16,000; Der8auer (aka Roman Hartung) was officially congratulated as the winner back in late 2023.

Update 18:02 UTC: ASUS has confirmed that it will be supporting a local charity: "we are extremely honored to have this special edition ROG Astral RTX 5090 Dhahab OC graphics card, signed by NVIDIA CEO Jensen Huang. This card will be officially auctioned to support relief efforts for the California wildfires in Los Angeles."

Yesterday evening, the NVIDIA AI Developer social media account sent out a red alert regarding a time limited sale of flagship-tier Blackwell gaming hardware: "GeForce RTX 5090s are available at the Gear Store in the park right now at GTC 2025. 90 units are available for the next 30 minutes, with more coming tomorrow. Come say hi!" PC hardware news outlets have picked up on Team Green's latest stock bulletin, with Tom's Hardware disclosing some extra details. Under normal circumstances, NVIDIA's Gear Store Mobile Truck would be selling fairly standard merchandise—e.g. T-shirts, sweaters, hats, etc. According to the latest reports, the company's mobile pop-up store is taking orders for add-in-boards (AIB) GeForce RTX 5090 and RTX 5080 models. An information placard advertises old school/launch day guide prices of $1999 and $999 (respectively).

Tom's Hardware noted several caveats: "the graphics cards must be purchased from NVIDIA's van from 7 AM to 12 PM on Thursday or Friday and then picked up at South Hall main entrance the same day. The graphics boards are available to conference pass ($1145 for one day, or $2295 for five days) and exhibit pass holders only; with a limit of one card per person." According to folks on the ground, Team Green and its board partners have stockpiled a thousand of each highly-desirable GPU model at the San Jose Convention Center. The first waves of time-limited batches were made available yesterday (March 19). Demand for flagship and top-end GeForce RTX 50 series cards has far exceeded supply, starting back in late January. Following an absorption of plentiful feedback, NVIDIA revived its "Verified Priority Access" scheme a couple of weeks ago. This anti-scalping initiative was advertised as offering: "a limited number of verified GeForce gamers and creators in the United States the opportunity to purchase one GeForce RTX 5090 or RTX 5080 Founders Edition graphics card from the NVIDIA Marketplace."

Pat Gelsinger has quite bravely stepped into the belly of the beast this week. The former Intel boss was an invited guest at NVIDIA's GTC 2025 conference; currently taking place in San Francisco, California. Technology news outlets have extracted key quotes from Gelsinger's musings during an in-person appearance on Acquired's "Live at GTC" video podcast. In the past, the ex-Team Blue chief held the belief that NVIDIA was "extraordinarily lucky" with a market leading position. Yesterday's panel discussion provided a repeat visit—where Gelsinger repeated his long-held opinion: "the CPU was the king of the hill, and I applaud Jensen for his tenacity in just saying, 'No, I am not trying to build one of those; I am trying to deliver against the workload starting in graphics. You know, it became this broader view. And then he got lucky with AI, and one time I was debating with him, he said: 'No, I got really lucky with AI workload because it just demanded that type of architecture.' That is where the center of application development is (right now)."

The American businessman and electrical engineer reckons that AI hardware costs are climbing to unreasonable levels: "today, if we think about the training workload, okay, but you have to give away something much more optimized for inferencing. You know a GPU is way too expensive; I argue it is 10,000 times too expensive to fully realize what we want to do with the deployment of inferencing for AI and then, of course, what's beyond that." Despite the "failure" of a much older Intel design, Gelsinger delved into some rose-tinted nostalgia: "I had a project that was well known in the industry called Larrabee and which was trying to bridge the programmability of the CPU with a throughput oriented architecture (of a GPU), and I think had Intel stay on that path, you know, the future could have been different...I give Jensen a lot of credit (as) he just stayed true to that throughput computing or accelerated (vision)." With the semi-recent cancelation of "Falcon Shores" chip design, Intel's AI GPU division is likely regrouping around their next-generation "Jaguar Shores" project—industry watchdogs reckon that this rack-scale platform will arrive in 2026.

Supermicro, Inc., a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is announcing new systems and rack solutions powered by the NVIDIA's Blackwell Ultra platform, featuring the NVIDIA HGX B300 NVL16 and NVIDIA GB300 NVL72 platforms. Supermicro and NVIDIA's new AI solutions strengthen leadership in AI by delivering breakthrough performance for the most compute-intensive AI workloads, including AI reasoning, agentic AI, and video inference applications.

"At Supermicro, we are excited to continue our long-standing partnership with NVIDIA to bring the latest AI technology to market with the NVIDIA Blackwell Ultra Platforms," said Charles Liang, president and CEO, Supermicro. "Our Data Center Building Block Solutions approach has streamlined the development of new air and liquid-cooled systems, optimized to the thermals and internal topology of the NVIDIA HGX B300 NVL16 and GB300 NVL72. Our advanced liquid-cooling solution delivers exceptional thermal efficiency, operating with 40℃ warm water in our 8-node rack configuration, or 35℃ warm water in double-density 16-node rack configuration, leveraging our latest CDUs. This innovative solution reduces power consumption by up to 40% while conserving water resources, providing both environmental and operational cost benefits for enterprise data centers."

Today, at NVIDIA GTC, Lenovo unveiled new Lenovo Hybrid AI Advantage with NVIDIA solutions designed to accelerate AI adoption and boost business productivity by fast-tracking agentic AI that can reason, plan and take action to reach goals faster. The validated, full-stack AI solutions enable enterprises to quickly build and deploy AI agents for a broad range of high-demand use cases, increasing productivity, agility and trust while accelerating the next wave of AI reasoning for the new era of agentic AI.

New global IDC research commissioned by Lenovo reveals that ROI remains the greatest AI adoption barrier, despite a three-fold spend increase. AI agents are revolutionizing enterprise workflows and lowering barriers to ROI by supporting employees with complex problem-solving, coding, and multistep planning that drives speed, innovation and productivity. As CIOs and business leaders seek tangible return on AI investment, Lenovo is delivering hybrid AI solutions that unleash and customize agentic AI at every scale.

Giga Computing, a subsidiary of GIGABYTE and an industry leader in generative AI servers and advanced cooling technologies, today announced participation at NVIDIA GTC 2025 to bring to the market the best in GPU-based solutions for generative AI, media acceleration, and large language models (LLM). To this end, GIGABYTE booth #1409 at NVIDIA GTC showcases a rack-scale turnkey AI solution, GIGAPOD, that offers both air and liquid-cooling designs for the NVIDIA HGX B300 NVL16 system. Also, on display at the booth is a compute node from the newly announced NVIDIA GB300 NVL72 rack-scale solution. And for modularized compute architecture are two servers supporting the newly announced NVIDIA RTX PRO 6000 Blackwell Server Edition.

Complete AI solution - GIGAPOD
With the depth of expertise in hardware and system design, Giga Computing has combined infrastructure hardware, platform software, and architecting service to deliver scalable units composed of GIGABYTE GPU servers with NVIDIA GPU baseboards, while running GIGABYTE POD Manager, a powerful software suite designed to enhance operational efficiency, streamline management, and optimize resource utilization. GIGAPOD's scalable unit is designed for either nine air-cooled racks or five liquid-cooled racks. Giga Computing offers two approaches for the same goal, one powerful GPU cluster using NVIDIA HGX Hopper and Blackwell GPU platforms at scale to meet demand for all AI data centers.

NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing. The NVIDIA Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing. The NVAQC will help solve quantum computing's most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices.

Leading quantum computing innovators, including Quantinuum, Quantum Machines and QuEra Computing, will tap into the NVAQC to drive advancements through collaborations with researchers from leading universities, such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT).

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.