Chinese custom chassis specialist, Xikii, has opened pre-orders for a new FF04 model—this classy ￥3599 (~$500) box has been designed to match the aesthetic theme of ASUS ProArt graphics cards. 3DCenter.org was impressed with the company's premium-priced work, following a discovery by Western readers (on Reddit). The site's social media account expressed some appreciation—the Xikii FF04 chassis set is a "9.8 liter case built around a single GPU; ASUS ProArt RTX 4070 Ti. Even the contour of the case matches the curve of the GPU shroud."

Xikii's product page includes a bunch of slick marketing shots and a promo video—all showing off a sample unit. Redditors noticed that the first batch of FF04 cases has already sold out—the company anticipates a shipping out date somewhere within an April 15 to 30 window. VideoCardz has eyeballed all available data, and surmised that several "RTX 40 ProArt models (4080, 4070 and 4060 series)" are suitably proportioned to fit in Xikii's purpose-built chassis—these: "have the same dimensions of 300x120x50 mm. This may explain why this design made any sense, you can certainly fit more than one model into this case, just keep in mind that a suitable power supply is needed for higher-end models." Xikii will offer an "external split water-cooling adapter module" as an optional item in the near future—they predict a price of 180 yuan (~$25).

Thermaltake USA, the leading PC Case, Cooling, Power, and memory solutions, proudly announces the launch of twelve innovative models in the LCGS (Liquid Cooled Gaming System) Reactor series, available exclusively at Best Buy. This launch marks a significant milestone for Thermaltake, introducing the next generation of gaming PCs, meticulously designed with the newly unveiled The Tower 300 Micro Tower Chassis. These gaming powerhouses are equipped with the latest high-performance components, including the cutting-edge Intel Core 14th Gen i9/i7 processors, NVIDIA GeForce RTX 40 Super Series/4090 graphics cards, 32 GB of DDR5 5600 MT/s memory, and expansive 2 TB NVMe M.2 SSD storage.

Each system in the LCGS Reactor series boasts a 360 mm radiator liquid cooling solution, ensuring exceptional cooling performance and stability during intense gaming sessions. The addition of vibrant color options such as Snow, Black, Hydrangea Blue, and Turquoise adds a personalized touch to these systems, catering to gamers' and content creators' diverse tastes and styles. Tailored for the most demanding gamers and creative professionals, these pre-built gaming desktop PCs are assembled and rigorously tested by Thermaltake's skilled engineers in the USA, ensuring unparalleled build quality and reliability.

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.

ASUS today announced its participation at the NVIDIA GTC global AI conference, where it will showcase its solutions at booth #730. On show will be the apex of ASUS GPU server innovation, ESC NM1-E1 and ESC NM2-E1, powered by the NVIDIA MGX modular reference architecture, accelerating AI supercomputing to new heights. To help meet the increasing demands for generative AI, ASUS uses the latest technologies from NVIDIA, including the B200 Tensor Core GPU, the GB200 Grace Blackwell Superchip, and H200 NVL, to help deliver optimized AI server solutions to boost AI adoption across a wide range of industries.

To better support enterprises in establishing their own generative AI environments, ASUS offers an extensive lineup of servers, from entry-level to high-end GPU server solutions, plus a comprehensive range of liquid-cooled rack solutions, to meet diverse workloads. Additionally, by leveraging its MLPerf expertise, the ASUS team is pursuing excellence by optimizing hardware and software for large-language-model (LLM) training and inferencing and seamlessly integrating total AI solutions to meet the demanding landscape of AI supercomputing.

NVIDIA today announced its next-generation AI supercomputer—the NVIDIA DGX SuperPOD powered by NVIDIA GB200 Grace Blackwell Superchips—for processing trillion-parameter models with constant uptime for superscale generative AI training and inference workloads.

Featuring a new, highly efficient, liquid-cooled rack-scale architecture, the new DGX SuperPOD is built with NVIDIA DGX GB200 systems and provides 11.5 exaflops of AI supercomputing at FP4 precision and 240 terabytes of fast memory—scaling to more with additional racks.

Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived—enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.

The Blackwell GPU architecture features six transformative technologies for accelerated computing, which will help unlock breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing and generative AI—all emerging industry opportunities for NVIDIA.

NVIDIA today announced that TSMC and Synopsys are going into production with NVIDIA's computational lithography platform to accelerate manufacturing and push the limits of physics for the next generation of advanced semiconductor chips. TSMC, the world's leading foundry, and Synopsys, the leader in silicon to systems design solutions, have integrated NVIDIA cuLitho with their software, manufacturing processes and systems to speed chip fabrication, and in the future support the latest-generation NVIDIA Blackwell architecture GPUs.

"Computational lithography is a cornerstone of chip manufacturing," said Jensen Huang, founder and CEO of NVIDIA. "Our work on cuLitho, in partnership with TSMC and Synopsys, applies accelerated computing and generative AI to open new frontiers for semiconductor scaling." NVIDIA also introduced new generative AI algorithms that enhance cuLitho, a library for GPU-accelerated computational lithography, dramatically improving the semiconductor manufacturing process over current CPU-based methods.

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."

Sony is preparing to launch its next-generation PlayStation 5 Pro console in the Fall of 2024, right around the holidays. We previously covered a few graphics details about the console. However, today, we get more details about the CPU and the overall system, thanks to the exclusive information from Insider Gaming. Starting off, the sources indicate that PS5 Pro system memory will get a 28% bump in bandwidth, where the standard PS5 console had 448 GB/s, and the upgraded PS5 Pro will get 576 GB/s. Apparently, the memory system is more efficient, likely coming from an upgrade in memory from the GDDR6 SDRAM of the regular PS5. The next upgrade is the CPU, which has special modes for the main processor. The CPU uArch is likely the same, with clocks pushed to 3.85 GHz, resulting in a 10% frequency increase.

However, this is only achieved in the "High CPU Frequency Mode," which steals the SoC's power from the GPU and downclocks it slightly to allocate more power to the CPU in highly CPU-intense settings. The GPU we discussed here is an RDNA 3 IP with up to 45% faster graphics rendering. The ray tracing performance can be up to four times higher than the regular PS5, while the entire GPU delivers 33.5 TeraFLOPS of FP32 single-precision computing. This comes from 30 WGP running BVH8 shaders vs the 18 WGPs running BVH4 shaders on the regular PS5. There are PSSR upscalers present, and the GPU can output 8K resolution, which will come with future software updates. Last but not least, the AI front also has a custom AI accelerator capable of 300 8-bit INT8 TOPS and 67 16-bit FP16 TeraFLOPS. Audio codecs are getting some love, as well, with ACV running up to 35% faster.

NVIDIA's recent launch of a "new" entry-level gaming GPU has not set pulses racing—their return visit to Ampere City arrived in the form of custom GeForce RTX 3050 6 GB graphics cards. The absence of a reference model sometimes signals a low expectation, but Team Green's partners have pushed ahead with a surprisingly diverse portfolio of options. Early last month, Galax introduced a low-profile white design—the custom GeForce RTX 3050 6 GB card's slot-powered operation presents an ideal solution for super compact low-power footprint builds. ASUS is readying its own dual-fan low-profile models—as evidenced by official product pages. The listings do not reveal release dates or recommended price points for the reference-clocked GeForce RTX 3050 LP BRK 6 GB card, and its OC sibling. ASUS believes that both models offer "big productivity in a small package."

Low-profile card enthusiasts have warmly welcomed new-ish GeForce RTX 4060 GPU-based solutions—courtesy of ASUS and GIGABYTE, but reported $300+ MSRPs have likely put off budget-conscious buyers. A sub-$200 price point is a more palatable prospect, especially for system builders who are not all bothered about cutting-edge gaming performance. A DVI-D connector ensures legacy compatibility, alongside modern port standards: HDMI 2.1 and DP 1.4a. As mentioned before, ASUS has not publicly disclosed its pricing policy for the GeForce RTX 3050 LP BRK 6 GB card (and its OC variant)—the manufacturer's Dual and Dual OC models retail in a range of $170 - $180. Graphics card watchdogs reckon that the LP BRK designs will warrant a small premium over normal-sized products.

SK Hynix believes that it leads the industry with the development and production of High Bandwidth Memory (HBM) solutions, but rival memory manufacturers are working hard on equivalent fifth generation packages. NVIDIA was expected to select SK Hynix as the main supplier of HBM3E parts for utilization on H200 "Hopper" AI GPUs, but a surprise announcement was issued by Micron's press team last month. The American firm revealed that HBM3E volume production had commenced: ""(our) 24 GB 8H HBM3E will be part of NVIDIA H200 Tensor Core GPUs, which will begin shipping in the second calendar quarter of 2024. This milestone positions Micron at the forefront of the industry, empowering artificial intelligence (AI) solutions with HBM3E's industry-leading performance and energy efficiency."

According to a Korea JoongAng Daily report, this boast has reportedly "shocked" the likes of SK Hynix and Samsung Electronics. They believe that Micron's: "announcement was a revolt from an underdog, as the US company barely held 10 percent of the global market last year." The article also points out some behind-the-scenes legal wrangling: "the cutthroat competition became more evident when the Seoul court sided with SK Hynix on Thursday (March 7) by granting a non-compete injunction to prevent its former researcher, who specialized in HBM, from working at Micron. He would be fined 10 million won for each day in violation." SK Hynix is likely pinning its next-gen AI GPU hopes on a 12-layer DRAM stacked HBM3E product—industry insiders posit that evaluation samples were submitted to NVIDIA last month. The outlook for these units is said to be very positive—mass production could start as early as this month.

The HPC research projects DEEP-SEA, IO-SEA and RED-SEA are wrapping up this month after a three-year project term. The three projects worked together to develop key technologies for European Exascale supercomputers, based on the Modular Supercomputing Architecture (MSA), a blueprint architecture for highly efficient and scalable heterogeneous Exascale HPC systems. To achieve this, the three projects collaborated on system software and programming environments, data management and storage, as well as interconnects adapted to this architecture. The results of their joint work will be presented at a co-design workshop and poster session at the EuroHPC Summit (Antwerp, 18-21 March, www.eurohpcsummit.eu).

Two months ago, NVIDIA introduced its GeForce RTX 40 SUPER series to the market, bringing a trio of models: RTX 4070 SUPER, RTX 4070 Ti SUPER, and RTX 4080 SUPER. Today, according to the report from ComputerBase, NVIDIA's latest trio has recorded a drop in pricing recently, and it now retails under MSRP in German stores. The RTX 4070 SUPER started with an MSRP of 659 Euros ($599 in the US) and is now available from 589 Euros. Its older brother, the GeForce RTX 4070 Ti SUPER, started with an MSRP listing of 889 Euros ($799 in the US) and is now retailing from 840 Euros. Lastly, the NVIDIA GeForce RTX 4080 SUPER has been listed at 1,109 Euros ($999 in the US) and is now retailing with a small discount at 1,092 Euros.

Once NVIDIA launched a new GPU generation, it became a custom for these cards to be retailed over their MSRP long before prices were adjusted and settled. However, with the latest SUPER refresh, this seems to be one of the fastest price adjustments. This could be caused by either an improvement in the supply chain or leveled supply and demand, making it so that these cards are finally trading below their launch-level MSRPs.

Seasonic introduced a new 12V-2x6 modular PSU cable model late last year—at the time, interested parties were also invited to Beta test early examples. Finalized versions have been introduced, via a freshly uploaded YouTube video (see below) and a dedicated product page. The "H++" connector standard—part of a new ATX 3.1 specification—is expected to replace the troubled "H+" 12VHWPR design. The PC hardware community has engaged in long-running debates about the development and rollout of a danger/peril-free alternative. PCI-SIG drafted the 12V-2x6 design last summer.

Seasonic's introductory section stated: "with the arrival of the new ATX 3 / PCIe 5.0 specifications, some graphic cards will now be powered by the new 12V-2x6 connector. Offering up to 600 W of power, the Seasonic native 12V-2x6 cable has been crafted with high quality materials, such as high current terminal connectors and 16 AWG wires to ensure the highest performance and safety in usage." The new cables are compatible with Seasonic's current ATX 3.0 power supply unit range—including "PRIME TX, PRIME PX, VERTEX GX, PX, GX White and Sakura, FOCUS GX and GX White" models. Owners of older Seasonic ATX 2.0 PSUs are best served with an optional 2x8-pin to 12V-2x6 adapter cable—although 650 W rated and single PCIe connector-equipped units are not supported at all. Two native cable models, and a non-native variant are advertised in the manufacturer's video.

Speculative NVIDIA GeForce RTX 50-series "GB20X" GPU memory interface details appeared online late last week—as disclosed by the kopite7kimi social media account. The inside information aficionado—at the time—posited that the "memory interface configuration of GB20x (Blackwell) is not much different from that of AD10x (Ada Lovelace)." It was inferred that Team Green's next flagship gaming GPU (GB202) could debut with a 384-bit memory bus—kopite7kimi had "fantasized" about a potentially monstrous 512-bit spec for the "GeForce RTX 5090." A new batch of follow-up tweets—from earlier today—rips apart last week's insights. The alleged Blackwell GPU gaming lineup includes the following SKUs: GB202, GB203, GB205, GB206, GB207.

Kopite7kimi's revised thoughts point to Team Green's flagship model possessing 192 streaming multiprocessors and a 512-bit memory bus. VideoCardz decided to interact with the reliable tipster—their queries were answered promptly: "According to kopite7kimi, there's a possibility that the second-in-line GPU, named GB203, could sport half of that core count. Now the new information is that GB203 might stick to 256-bit memory bus, which would make it half of GB202 in its entirety. What this also means is that there would be no GB20x GPU with 384-bit bus." Additional speculation has NVIDIA selecting a 192-bit bus for the GB205 SKU (AKA GeForce RTX 5070). The GeForce RTX 50-series is expected to arrive later this year—industry experts are already whispering about HPC-oriented Blackwell GPUs being unveiled at next week's GTC 2024 event. A formal gaming family announcement could arrive many months later.

Microsoft's DirectX department is scheduled to show off several innovations at this month's Game Developers Conference (GDC), although a late February preview has already spilled their DirectSR Super Resolution API's beans. Today, retail support for Shader Model 6.8 and Work Graphs has been introduced with an updated version of the company's Agility Software Development Kit. Program manager, Joshua Tucker, stated that these technologies will be showcased on-stage at GDC 2024—Shader Model 6.8 arrives with a "host of new features for shader developers, including Start Vertex/Instance Location, Wave Size Range, and Expanded Comparison Sampling." A linked supplementary article—D3D12 Work Graphs—provides an in-depth look into the cutting-edge API's underpinnings, best consumed if you have an hour or two to spare.

Tucker summarized the Work Graphs API: "(it) utilizes the full potential of your GPU. It's not just an upgrade to the existing models, but a whole new paradigm that enables more efficient, flexible, and creative game development. With Work Graphs, you can generate and schedule GPU work on the fly, without relying on the host. This means you can achieve higher performance, lower latency, and greater scalability for your games with tasks such as culling, binning, chaining of compute work, and much more." AMD and NVIDIA are offering driver support on day one. Team Red has discussed the launch of "Microsoft DirectX 12 Work Graphs 1.0 API" in a GPUOpen blog—they confirm that "a deep dive" into the API will happen during their Advanced Graphics Summit presentation. NVIDIA's Wessam Bahnassi has also discussed the significance of Work Graphs—check out his "Advancing GPU-driven rendering" article. Graham Wihlidal—of Epic Games—is excited about the latest development: "we have been advocating for something like this for a number of years, and it is very exciting to finally see the release of Work Graphs."

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 Moore Threads MTT S80 first attracted wider media attention last summer due to it being introduced as the world's first PCIe Gen 5 gaming graphics card. Unfortunately, its performance prowess in gaming benchmarks did not match early expectations, especially for a 200 W TDP-rated unit with 4096 "MUSA" cores. Evaluators discovered that driver issues have limited the full potential of MTT GPUs—it is speculated that Moore Threads has simply repurposed existing PowerVR architecture under their in-house design: "Chunxaio." The Chinese firm has concentrated on driver improvements in the interim—mid-February experimentations indicated 100% performance boosts for MTT S80 and S70 discrete GPUs courtesy of driver version 240.90. Germany's ComputerBase managed to import Moore Threads MTT S80 and S30 models for testing purposes—in an effort to corroborate recently published performance figures, as disclosed by Asian review outlets.

The Moore Thread MTT S80—discounted down to $164 last October—was likely designed with MMO gamers in mind. VideoCardz (based on ComputerBase findings) discussed the card's struggles when weighed against Team Red's modern day integrated solutions: "S80 falls short when compared to the Ryzen 5 8600G, featuring the Radeon 760M iGPU with RDNA 3 graphics. A geometric mean across various titles reveals the S80's lag, but there are exceptions, like DOTA 2, where it takes the lead in framerate. It's clear that MTT GPUs (have a) less emphasized focus on supporting AAA titles." ComputerBase confirmed that DirectX 12 API support is still lacking, meaning that many popular Western games titles remain untested on the Moore Threads MTT S80 graphics card. The freshly launched entry-level MTT S30 card produced "1/4 of the performance" when compared to its flagship sibling.

During the 2024 SIEPR Economic Summit, NVIDIA CEO Jensen Huang acknowledged that the company's next-generation DGX systems, designed for AI and high-performance computing workloads, will require liquid cooling due to their immense power consumption. Huang also hinted that these new systems are set to be released in the near future. The revelation comes as no surprise, given the increasing power of GPUs needed to satisfy AI and machine learning applications. As computational requirements continue to grow, so does the need for more powerful hardware. However, with great power comes great heat generation, necessitating advanced cooling solutions to maintain optimal performance and system stability. Liquid cooling has long been a staple in high-end computing systems, offering superior thermal management compared to traditional air cooling methods.

By implementing liquid cooling in the upcoming DGX systems, NVIDIA aims to push the boundaries of performance while ensuring the hardware remains reliable and efficient. Although Huang did not provide a specific release date for the new DGX systems, his statement suggests that they are on the horizon. Whether the next generation of DGX systems uses the current NVIDIA H200 or the upcoming Blackwell B100 GPU as their primary accelerator, the performance will undoubtedly be delivered. As the AI and high-performance computing landscape continues to evolve, NVIDIA's position continues to strengthen, and liquid-cooled systems will certainly play a crucial role in shaping the future of these industries.

Earlier in the week it was revealed that NVIDIA had distributed next-gen AI GPUs to its most important ecosystem partners and customers—Dell's CEO expressed enthusiasm with his discussion of "Blackwell" B100 and B200 evaluation samples. Team Green's next-gen family of gaming GPUs have received less media attention in early 2024—a mid-February TPU report pointed to a rumored PCIe 6.0 CEM specification for upcoming RTX 50-series cards, but leaks have become uncommon since late last year. Top technology tipster, kopite7kimi, has broken the relative silence on Blackwell's gaming configurations—an early hours tweet posits a slightly underwhelming scenario: "although I still have fantasies about 512 bit, the memory interface configuration of GB20x is not much different from that of AD10x."

Past disclosures have hinted about next-gen NVIDIA gaming GPUs sporting memory interface configurations comparable to the current crop of "Ada Lovelace" models. The latest batch of insider information suggests that Team Green's next flagship GeForce RTX GPU—GB202—will stick with a 384-bit memory bus. The beefiest current-gen GPU AD102—as featured in GeForce RTX 4090 graphics cards—is specced with a 384-bit interface. A significant upgrade for GeForce RTX 50xx cards could arrive with a step-up to next-gen GDDR7 memory—kopite7kimi reckons that top GPU designers will stick with 16 Gbit memory chip densities (2 GB). JEDEC officially announced its "GDDR7 Graphics Memory Standard" a couple of days ago. VideoCardz has kindly assembled the latest batch of insider info into a cross-generation comparison table (see below).

Lately Tiny Corp. CEO—George Hotz—has used his company's social media account to publicly criticize AMD Radeon RX 7900 XTX GPU firmware. The creator of Tinybox, a pre-orderable $15,000 AI compute cluster, has not selected "traditional" hardware for his systems—it is possible that AMD's Instinct MI300X accelerator is quite difficult to acquire, especially for a young startup operation. The decision to utilize gaming-oriented XFX-branded RDNA 3.0 GPUs instead of purpose-built CDNA 3.0 platforms—for local model training and AI inference—is certainly a peculiar one. Hotz and his colleagues have encountered roadblocks in the development of their Tinybox system—recently, public attention was drawn to an "LLVM spilling bug." AMD President/CEO/Chair, Dr. Lisa Su, swiftly stepped in and promised a "good solution." Earlier in the week, Tiny Corp. reported satisfaction with a delivery of fixes—courtesy of Team Red's software engineering department. They also disclosed that they would be discussing matters with AMD directly, regarding the possibility of open-sourcing Radeon GPU MES firmware.

Subsequently, Hotz documented his interactions with Team Red representatives—he expressed 70% confidence in AMD approving open-sourcing certain bits of firmware in a week's time: "Call went pretty well. We are gating the commitment to 6x Radeon RX 7900 XTX on a public release of a roadmap to get the firmware open source. (and obviously the MLPerf training bug being fixed). We aren't open source purists, it doesn't matter to us if the HDCP stuff is open for example. But we need the scheduler and the memory hierarchy management to be open. This is what it takes to push the performance of neural networks. The Groq 500 T/s mixtral demo should be possible on a tinybox, but it requires god tier software and deep integration with the scheduler. We also advised that the build process for amdgpu-dkms should be more open. While the driver itself is open, we haven't found it easy to rebuild and install. Easy REPL cycle is a key driver for community open source. We want the firmware to be easy to rebuild and install also." Prior to this week's co-operations, Tiny Corp. hinted that it could move on from utilizing Radeon RX 7900 XTX, in favor of Intel Alchemist graphics hardware—if AMD's decision making does not favor them, Hotz & Co. could pivot to builds including Acer Predator BiFrost Arc A770 16 GB OC cards.

2024 will be the year generative AI gets personal, the CEOs of NVIDIA and HP said today in a fireside chat, unveiling new laptops that can build, test and run large language models. "This is a renaissance of the personal computer," said NVIDIA founder and CEO Jensen Huang at HP Amplify, a gathering in Las Vegas of about 1,500 resellers and distributors. "The work of creators, designers and data scientists is going to be revolutionized by these new workstations."

Greater Speed and Security
"AI is the biggest thing to come to the PC in decades," said HP's Enrique Lores, in the runup to the announcement of what his company billed as "the industry's largest portfolio of AI PCs and workstations." Compared to running their AI work in the cloud, the new systems will provide increased speed and security while reducing costs and energy, Lores said in a keynote at the event. New HP ZBooks provide a portfolio of mobile AI workstations powered by a full range of NVIDIA RTX Ada Generation GPUs. Entry-level systems with the NVIDIA RTX 500 Ada Generation Laptop GPU let users run generative AI apps and tools wherever they go. High-end models pack the RTX 5000 to deliver up to 682 TOPS, so they can create and run LLMs locally, using retrieval-augmented generation (RAG) to connect to their content for results that are both personalized and private.

Omdia, an independent analyst and consultancy firm, has bestowed the title of "Kingmaker" on NVIDIA—thanks to impressive 2023 results in the data server market. The research firm predicts very buoyant numbers for the financial year of 2024—their February Cloud and Datacenter Market snapshot/report guesstimates that Team Green's data center GPU business group has the potential to rake in $87 billion of revenue. Omdia's forecast is based on last year's numbers—Jensen & Co. managed to pull in $34 billion, courtesy of an unmatched/dominant position in the AI GPU industry sector. Analysts have estimated a 150% rise in revenues for in 2024—the majority of popular server manufacturers are reliant on NVIDIA's supply of chips. Super Micro Computer Inc. CEO—Charles Liang—disclosed that his business is experiencing strong demand for cutting-edge server equipment, but complications have slowed down production: "once we have more supply from the chip companies, from NVIDIA, we can ship more to customers."

Demand for AI inference in 2023 accounted for 40% of NVIDIA data center GPU revenue—according Omdia's expert analysis—they predict further growth this year. Team Green's comfortable AI-centric business model could expand to a greater extent—2023 market trends indicated that enterprise customers had spent less on acquiring/upgrading traditional server equipment. Instead, they prioritized the channeling of significant funds into "AI heavyweight hardware." Omdia's report discussed these shifted priorities: "This reaffirms our thesis that end users are prioritizing investment in highly configured server clusters for AI to the detriment of other projects, including delaying the refresh of older server fleets." Late February reports suggest that NVIDIA H100 GPU supply issues are largely resolved—with much improved production timeframes. Insiders at unnamed AI-oriented organizations have admitted that leadership has resorted to selling-off of excess stock. The Omdia forecast proposes—somewhat surprisingly—that H100 GPUs will continue to be "supply-constrained" throughout 2024.

NVIDIA and HP Inc. today announced that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.

Built on the NVIDIA CUDA compute platform, CUDA-X libraries speed data processing for a broad range of data types, including tables, text, images and video. They include the NVIDIA RAPIDS cuDF library, which accelerates the work of the nearly 10 million data scientists using pandas software by up to 110x using an NVIDIA RTX 6000 Ada Generation GPU instead of a CPU-only system, without requiring any code changes.