Latest news with #RTX3090
Business Wire
14-07-2025
- Business
- Business Wire
SHARON AI Announces Several Milestones for Intended 250MW AI Data Center Joint Venture in Texas
NEW YORK--(BUSINESS WIRE)--Sharon AI, Inc. ('SHARON AI'), a High-Performance Computing ('HPC') business focused on Artificial Intelligence ('AI') Compute Infrastructure which recently announced entry into a Business Combination Agreement with Roth CH Acquisition Co. (OTC Markets:USCTF), today provided an operational update for its joint venture, Texas Critical Data Centers LLC ('TCDC'), regarding an intended 250MW data center project in Ector County, Texas. TCDC, SHARON AI's joint venture with New Era Helium Inc. ('New Era Helium'), has signed a non-binding Letter of Intent with a prospective global enterprise customer. Under the terms outlined, the prospective customer may acquire land from TCDC and potentially enter into a power purchase agreement for up to 250 megawatts of behind-the-meter electricity, facilitated by TCDC, to support advanced data center operations and AI compute infrastructure. TCDC also announced that it has signed a second non-binding Letter of Intent with Grow Odessa, an economic development corporation, for the planned acquisition of an additional 203 acres, for a total of 438 acres. Grow Odessa assists local businesses with expansion and focuses on attracting new compatible industry to Odessa. TCDC expects to sign a definitive agreement for the acquisition of the initial 235 acres this month. Furthermore, TCDC received a proposal from the operator of a nearby gas transmission pipeline for natural gas transportation services. Work is continuing on overall site due diligence and planning for the air permit. The next project milestones are expected to include further updates on natural gas supply and the anticipated behind-the-meter power plant. Wolf Schubert, CEO of SHARON AI, commented 'We are pleased with our progress to date in the development of this project, particularly our engagement with a prospective global enterprise customer who is contemplating building a large-scale AI data center. This reflects the growing demand for AI compute infrastructure and the energy to run it.' About SHARON AI SHARON AI, Inc., is a High-Performance Computing company focused on Artificial Intelligence and Cloud GPU Compute Infrastructure. SHARON AI has a hybrid operational model that sees it deploy in co-location data centers as well as developing data center projects. With the expected addition of NVIDIA H200's to the company's GPU fleet in 2025, SHARON AI expects to be able to offer a wide range of AI/HPC GPUs as a Service (GPUaaS), including NVIDIA H200, H100, L40S, A40, RTX3090 and AMD MI300X. For more information, visit: About Roth CH Acquisition Co. Roth CH Acquisition Co. (OTC Markets: USCTF) is a blank check shell domiciled in the Cayman Islands. The company intends to enter into a business combination with a growth company to go public in the US markets through a reverse merger. No Offer or Solicitation This communication is not intended to and shall not constitute an offer to buy or sell or the solicitation of an offer to buy or sell any securities, or a solicitation of any proxy, consent, authorization, vote or approval, nor shall there be any sale of securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such jurisdiction. No offering of securities shall be made, except by means of a prospectus meeting the requirements of the U.S. Securities Act of 1933, as amended. Additional Information About the Proposed Transaction for Investors and Shareholders In connection with the proposed transaction between Roth CH Acquisition Co. ('Roth CH') and SHARON AI (the 'Proposed Transaction'), Roth CH (or a subsidiary of Roth CH) has filed and intends to update relevant materials with the U.S. Securities and Exchange Commission (the 'SEC'), including a registration statement on Form S-4, initially filed in June 4 th, 2025, as amended, containing a proxy statement/prospectus of Roth CH. This press release is not a substitute for the registration statement or for any other document that Roth CH may file with the SEC in connection with the Proposed Transaction. SHARON AI AND ROTH CH URGE INVESTORS AND STOCKHOLDERS TO READ THE REGISTRATION STATEMENT, PROXY STATEMENT/PROSPECTUS AND ANY OTHER RELEVANT DOCUMENTS THAT MAY BE FILED WITH THE SEC, AS WELL AS ANY AMENDMENTS OR SUPPLEMENTS TO THESE DOCUMENTS, CAREFULLY AND IN THEIR ENTIRETY IF AND WHEN THEY BECOME AVAILABLE BECAUSE THEY WILL CONTAIN IMPORTANT INFORMATION ABOUT ROTH CH, SHARON AI, THE PROPOSED TRANSACTION AND RELATED MATTERS. Investors and stockholders will be able to obtain free copies of the proxy statement/prospectus and other documents filed by Roth CH with the SEC (when they become available) through the website maintained by the SEC at In addition, investors and stockholders should note that Roth CH communicates with investors and the public using its website ( where anyone will be able to obtain free copies of the proxy statement/prospectus and other documents filed by Roth CH with the SEC, and stockholders are urged to read the proxy statement/prospectus and the other relevant materials when they become available before making any voting or investment decision with respect to the Proposed Transaction. Participants in the Solicitation Roth CH, SHARON AI and their respective directors and executive officers may be deemed to be participants in the solicitation of proxies from stockholders in connection with the Proposed Transaction. Information about Roth CH's directors and executive officers including a description of their interests in Roth CH is included in Roth CH's most recent Annual Report on Form 10-K, including any information incorporated therein by reference, as filed with the SEC. Additional Information regarding these persons and their interests in the transaction will be included in the proxy statement/prospectus relating to the Proposed Transaction when it is filed with the SEC. These documents can be obtained free of charge from the sources indicated above. Forward Looking Statements: This press release may contain forward-looking statements that are not historical facts. Forward-looking statements are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and other future conditions. In some cases you can identify these statements by forward-looking words such as 'believe,' 'may,' 'will,' 'estimate,' 'continue,' 'anticipate,' 'intend,' 'could,' 'should,' 'would,' 'project,' 'plan,' 'expect,' 'goal,' 'seek,' 'future,' 'likely' or the negative or plural of these words or similar expressions. Examples of such forward-looking statements include but are not limited to express or implied statements regarding Roth CH's or SHARON AI's management team's expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding: the Proposed Transaction; expectations regarding service and product offerings and the developments of TCDV. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. Factors that could cause actual results to differ materially from these forward-looking statements include: the risk that the conditions to the closing or consummation of the Proposed Transaction are not satisfied, including the failure to obtain stockholder approval for the Proposed Transaction; uncertainties as to the timing of the consummation of the Proposed Transaction and the ability of each of Roth CH and SHARON AI to consummate the transactions contemplated by the Proposed Transaction; risks related to Roth CH's and SHARON AI's ability to correctly estimate their respective operating expenses and expenses associated with the Proposed Transaction, as applicable, as well as uncertainties regarding the impact any delay in the closing would have on the anticipated cash resources of the resulting combined company upon closing and other events and unanticipated spending and costs that could reduce the combined company's cash resources; the occurrence of any event, change or other circumstance or condition that could give rise to the termination of the Proposed Transaction by either company; the effect of the announcement or pendency of the Proposed Transaction on Roth CH's or SHARON AI's business relationships, operating results and business generally; costs related to the business combination; the outcome of any legal proceedings that may be instituted against Roth CH, SHARON AI, or any of their respective directors or officers related to the business combination agreement or the transactions contemplated thereby; the ability of Roth CH or SHARON AI to protect their respective intellectual property rights; competitive responses to the Proposed Transaction; unexpected costs, charges or expenses resulting from the Proposed Transaction; whether the combined business of Roth CH and SHARON AI will be successful; legislative, regulatory, political and economic developments; and additional risks described in the 'Risk Factors' section of Roth CH's Annual Report on Form 10-K for the fiscal year ended December 31, 2024 filed with the SEC. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at You are cautioned that such statements are not guarantees of future performance and that our actual results may differ materially from those set forth in the forward-looking statements. The forward-looking statements and other information contained in this news release are made as of the date hereof and neither Roth CH nor SHARON AI undertakes any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.
South China Morning Post
12-03-2025
- Business
- South China Morning Post
Chinese AI team wins global award for replacing Nvidia GPU with industrial chip
In a bold challenge to US giant Nvidia's dominance in artificial intelligence (AI) hardware, Chinese researchers have trained a cutting-edge video-generation model on an off-the shelf industrial chip – outperforming high-end GPUs in both speed and efficiency. Advertisement Their system, FlightVGM, recorded a 30 per cent performance boost and had an energy efficiency that was 4½ times greater than Nvidia's flagship RTX 3090 GPU – all while running on the widely available V80 FPGA chip from Advanced Micro Devices (AMD), another leading US semiconductor firm. The innovation earned top honours at the prestigious FPGA 2025 conference which concluded on March 1. The win marked the first time a mainland Chinese team had claimed the event's Best Paper Award, signalling a seismic shift in the global race to optimise AI hardware Developed by scientists from Shanghai Jiao Tong University, Tsinghua University and Beijing-based start-up Infinigence-AI, the model could redefine how industries deploy cost-effective, energy-efficient AI systems, from robotic controls to autonomous vehicles FPGAs or field-programmable gate arrays, are programmable semiconductor devices that allow post-manufacturing modifications to their circuitry and functionality. In contrast, conventional chips like CPUs or central processing units, GPUs or graphics processing units, and ASICs or application-specific integrated circuits have fixed functionalities once fabricated. Advertisement In video-generation and general computing, FPGAs and Nvidia GPUs each have distinct advantages. FPGAs offer customisable architecture tailored to specific applications, resulting in higher energy efficiency and lower latency. Meanwhile, Nvidia GPUs, known for their massive parallel computing power, excel in processing large-scale data and handling complex computational tasks. Building on previous research, the Chinese team developed FlightVGM, the first FPGA-trained video-generation AI model. Through innovations in data architecture and scheduling methods, FlightVGM achieved computational performance that could outpace GPUs.
Yahoo
09-02-2025
- Business
- Yahoo
Nvidia might never top the RTX 4090
The RTX 4090 might be the best graphics card Nvidia has ever released, and we may never see a flagship quite on the same level ever again. There's no doubt the RTX 4090 is extremely powerful, but it's not raw power alone that made it the flagship to end all flagships. I mean, the new RTX 5090 is already faster, and I'm confident Nvidia will continue to release massive GPUs that cost thousands of dollars in the future. But the RTX 4090 remains a crowning achievement for Team Green, and an inflection point for graphics cards more broadly. Nvidia has maintained some sort of halo GPU for several generations, mostly in a bid to claim performance dominance over AMD. Those cards originally fell under the Titan umbrella, but Nvidia changed course with its Ampere generation, releasing the first 90-class GPU ever in the form of the RTX 3090. It's a Titan, but instead of being pushed into a corner for only enthusiasts with thousands of dollars to burn, it was part of the main range. The much more reasonably-priced RTX 3080 was considered the 'flagship' of the generation, but by bringing a Titan-class option into the main product stack, Nvidia was readjusting expectations. One generation later, the RTX 4090 was suddenly the 'flagship.' Of course, Nvidia made an RTX 4080, but it wasn't the GPU on every PC gamer's lips. The RTX 4090 was. In the course of one generation, Nvidia's flagship offering went from $700 to $1,600, more than doubling the price. Nvidia had to justify a price that it had never pushed its GPUs to in the past. And boy, did it justify the price increase. Unlike graphics cards traditionally of the Titan kin, the RTX 4090 actually provided a good value for the money. It was a better value than the RTX 3090, better than the RTX 3080, and even better than AMD's RX 6950 XT. This was a flagship that didn't accept the idea of diminishing returns. Even at $1,600, Nvidia was not only keeping pace with the price-to-performance ratio in the previous generation — it was exceeding it. It was something we had never seen before. Nvidia could claim dominance with cards like the RTX 3090 Ti, but you were forced to throw any ideas about value out the window. When the RTX 4090 was released, it was nearly 70% faster than the next fastest graphics card you could buy. That's an impressive generational uplift anywhere, let alone on a flagship GPU. Already, with the RTX 5090, we can see how much lower the generational uplift is. With Nvidia's latest flagship, you're looking at a boost of around 30%, which is a far cry from what Nvidia delivered with the RTX 4090. We're only one generation on, but the RTX 4090 feels like an anomaly compared to both past and current generations, and based on the direction of PC hardware innovation, we may never see a flagship that can deliver on the same level. Moore's Law. It's a concept that only Intel seems to be defending these days — it coined the term, after all — with Nvidia and now even AMD recognizing that it's coming to an end. Delivering double the transistor density for half of the price every 18 months hasn't been the reality of PC hardware for years, and now, the rate of innovation is so low that it's becoming too much to ignore. The concept of Moore's Law has been a north star for the PC industry, and it's served to get a disparate group of companies on board with a shared vision. Nvidia didn't need to invest billions in the next era of semiconductor manufacturing; TSMC was already doing it. Like clockwork, transistors got smaller and smaller, allowing companies like Nvidia to squeeze more and more of them on a graphics card without taking up extra space. Yes, even as recently as the RTX 4090, Nvidia was executing on the idea of Moore's Law. There were 28.3 billion transistors on the RTX 3090, with a density of 45.1 million per square millimeter. For the RTX 4090, Nvidia packed in 76.3 billion, and at more than triple the density — 125.3 million per square millimeter. Compare that leap now to the RTX 5090. It has a bump in transistors up to 92.2 billion, but a lower density at 122.9 million per square millimeter. It's not a surprise, either, as Nvidia is using the same TSMC N4 node for its RTX 50-series GPUs as it did with its RTX 40-series GPUs. It's the first time ever that Nvidia has used the same node across two different generations, and it's a telling sign of the times. The brute-force method of squeezing more transistors on a chip just doesn't work like it used to Nvidia can't deliver a generational uplift on the level of the RTX 4090 unless transistors get smaller, and that's becoming increasingly difficult to accomplish. If we do ever see a flagship that can lead the pack like the RTX 4090 has, it won't come from jumping down to a smaller node. Don't worry, we're not just going to get the same graphics card over and over again. Nvidia is already establishing solutions to increase performance, and I'm sure there will be even more in the future. The idea of a 'performance boost' just looks a little bit different than it used to. It's not surprising that Nvidia debuted DLSS 4 Multi-Frame Generation alongside RTX 50-series GPUs. Although Nvidia delivered a performance boost with the RTX 5090, that largely came as a function of a larger chip and more power compared to the RTX 4090. If you need evidence of that, just look at the RTX 5080. When scaling down to a more reasonable level of die size and power, Nvidia is only delivering a slight bump in performance, hoping to make up the deficit with AI-generated frames. That's the new idea of a performance boost. AI is the dynamic that breaks through the dead end of Moore's Law, for better or worse. Instead of just rendering every pixel faster, we'll render fewer pixels and make up the difference with AI. That happens through upscaling, through frame generation, and now even through multi-frame generation. I know the idea of 'fake' frames and upscaled images rubs some folks the wrong way, and I get it. When graphics cards cost thousands of dollars, you'd hope for more than just software improvements. But with innovations in process slowing to a crawl, those are the routes where performance improvements will come from. If you're holding out hope for another RTX 4090-scale improvement in raw performance, you're going to be disappointed. There may be some massive leap forward in performance in the future, but it won't look the same as what we saw with the RTX 4090. As much as I'm rooting for more powerful graphics cards for years to come — regardless of if they come from Nvidia or not — it's important to reset expectations in the meantime.
