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Project Overview
Ultra is a next-generation PC game distribution platform powered by blockchain, designed to give developers and players the power to embrace the new era of gaming. Ultra describes itself as the first entertainment platform that offers all key gaming industry services and numerous centralized and decentralized apps, all accessible through a single login.Ultra's vision is to provide a complete blockchain solution, including a quick, fee-free layer 1 blockchain that is certified carbon neutral, an app ecosystem, a groundbreaking NFT standard, and an NFT marketplace. Moreover, Ultra Games, Ultra's flagship "killer app", is specifically built as a self-service publishing platform to challenge Valve's Steam, the giant PC game distribution platform.
HIVE Digital Signs $350M Five-Year AI Cloud Services Contract, Deploying 2,016 NVIDIA Blackwell Ultra GPUs
Odaily News - Digital infrastructure company HIVE Digital Technologies' high-performance computing division, BUZZ High Performance Computing, has signed a five-year AI cloud services contract worth approximately $350 million with an undisclosed investment-grade enterprise client. The contract is expected to generate approximately $70 million in additional annual revenue, bringing BUZZ HPC's annualized revenue to approximately $180 million. BUZZ HPC will deploy 2,016 NVIDIA Blackwell Ultra GPUs, utilizing the GB300 NVL72 system, NVIDIA Quantum-X800 InfiniBand networking, and VAST Data storage. The cluster is expected to become operational later this year at Bell's AI Fabric facility in Merritt, British Columbia, Canada, which runs on renewable hydroelectric power and closed-loop liquid cooling technology. HIVE estimates the project's capital expenditure at approximately $185 million, which will be funded through previously announced financing and new equipment debt. The company expects daily revenue of approximately $500,000 from its HPC and AI business once the cluster is fully operational, and plans to achieve $200 million in annualized GPU cloud services revenue by year-end. The company holds approximately 400 megawatts of capacity in Canada, which can support over 120,000 GPUs over the next two years. (Bitcoin.com News)
Nvidia rises over 10% weekly; semiconductor sector rebounds as AI chip concerns ease
Odaily News: Nvidia (NVDA) shares have surged more than 10% this week, while the Philadelphia Semiconductor Index (SOX) rose over 8% during the same period. The sector had previously been sold off on concerns over the scale of AI infrastructure investment and high valuations of chip companies, but market sentiment has since recovered.Nvidia's gains were partly boosted by positive developments at SpaceX. During SpaceX's first earnings call, Musk stated that the company will build data centers both on the ground and in space in the future, and will exclusively use Nvidia chips.Meanwhile, the market remains focused on HBM memory supply pressure. According to The Information, Nvidia is testing a version of its Rubin Ultra chip with reduced HBM configuration to address the global shortage of high-bandwidth memory. (Yahoo Finance)
Serenity: Still Bullish on Memory Stocks, Photonics Sector Focus Shifts Back to AXTI and LITE
Odaily Planet Daily Report: "White-Haired Stock God" Serenity stated on the X platform that he remains bullish on memory stocks such as MU and Samsung. In addition, this week, the focus in the photonics sector has shifted back to AXT and Lumentum. The photonics industry has previously shown signs of supply tightness, with Coherent ($COHR) and Lumentum ($LITE) laser production capacity for the next two years already sold out. AAOI's recent earnings report also showed continued strong demand for optical modules.Meanwhile, a large number of retail investors have been panic-selling in the storage sector. There are indeed some changes in the market at present, such as Nvidia's Rubin Ultra optimizing for memory, and memory prices no longer rising as significantly as previously expected. However, at current prices, the operating profit of storage companies relative to their market capitalization remains extremely compelling, especially given the structural growth in storage demand. Moreover, the supply-demand imbalance next year could become even more severe.Serenity noted that the market tends to panic when an industry declines and follows new narratives. For example, helium during the Iran war, the LNG market, and SpaceX's earnings call, which once again emphasized storage supply tightness. Many times, industry bottlenecks and fundamentals haven't changed significantly, but market sentiment has already undergone a massive shift.
Citrini Analyst: Short-Term May See "Short Memory, Long Optical" Trading, Long-Term Outlook for Storage Industry Remains Positive
Odaily News, Citrini analyst Jukan stated on the X platform that the market may have to adopt a "short memory, long optical" trading strategy in the short term, with some hedge funds already positioning in this direction, primarily based on three reasons:First, after Korea's leveraged ETF market largely ceased to function, related investors are facing redemption pressure, which may lead to additional selling outflows. Adjustments in the capital chain of leveraged products could still put pressure on Korean memory stocks.Second, Nvidia is adjusting its next-generation AI system architecture. Nvidia may reduce the HBM configuration per cabinet for Rubin Ultra and connect multiple cabinets via optical interconnect technology, keeping Rubin Ultra cluster-level performance ahead. Even if the HBM reduction stems from supply constraints rather than declining demand, optical communications could still become a key beneficiary in AI infrastructure.Third, the market is forming a consensus that memory prices may peak within the next two quarters.However, the long-term outlook for the storage industry remains positive, though the short-term view is cautious. AI infrastructure investment is gradually shifting from a sole focus on HBM storage capacity to the overall efficiency of data center architecture, including high-speed optical interconnects and other components, which may drive funds to rotate from memory chips to optical communications in the short term.
Nvidia rises over 10% weekly; semiconductor sector rebounds as AI chip concerns ease
Odaily News: Nvidia (NVDA) shares have surged more than 10% this week, while the Philadelphia Semiconductor Index (SOX) rose over 8% during the same period. The sector had previously been sold off on concerns over the scale of AI infrastructure investment and high valuations of chip companies, but market sentiment has since recovered.Nvidia's gains were partly boosted by positive developments at SpaceX. During SpaceX's first earnings call, Musk stated that the company will build data centers both on the ground and in space in the future, and will exclusively use Nvidia chips.Meanwhile, the market remains focused on HBM memory supply pressure. According to The Information, Nvidia is testing a version of its Rubin Ultra chip with reduced HBM configuration to address the global shortage of high-bandwidth memory. (Yahoo Finance)
DRAM supply shortage expected to persist through 2027; NVIDIA evaluates reducing HBM configuration on Rubin Ultra
Odaily News, Citrini analyst jukan posted on X platform, according to TrendForce's latest memory industry research, the DRAM supply shortage is expected to persist through 2027, and the HBM4e certification timeline remains uncertain. NVIDIA has been reassessing the HBM configuration for Rubin Ultra since the third quarter of 2026.The original plan called for a 12-layer stacked HBM4e configuration, but NVIDIA is currently evaluating multiple designs in parallel, including HBM4e 8-layer stacking, HBM4 12-layer stacking, and HBM4 8-layer stacking, with the final specifications yet to be confirmed. In addition to NVIDIA, some CSPs are reportedly also considering reducing HBM capacity for their next-generation custom ASICs.From 2025 to the first half of 2026, NVIDIA used 12-layer stacked HBM4e as the baseline design for Rubin Ultra. However, since the beginning of the third quarter of 2026, NVIDIA has begun reviewing lower-spec alternatives. TrendForce attributes this change to two major supply-side constraints: first, the overall DRAM shortage expected in 2027 will limit the wafer capacity that memory manufacturers can allocate to HBM production; second, uncertainty remains regarding the certification timeline for 12-layer stacked HBM4e and the pace of yield improvement in mass production.TrendForce stated that NVIDIA's primary focus for the Rubin Ultra generation is improving I/O speed, with expanding GPU shipments as a secondary priority. If NVIDIA ultimately decides to downgrade the HBM specifications, it is expected to do so by reducing the number of DRAM stacking layers. Whether HBM4e can complete certification and enter mass production as planned will determine whether Rubin Ultra's I/O speed can be improved from the previous generation Rubin's 8 to 11.7Gbps to 14 to 16Gbps, or be maintained at 11 to 12Gbps through an optimized HBM4 design. Within the same product generation, the number of DRAM stacking layers determines the trade-off between HBM capacity per GPU and the number of GPUs that can be shipped.TrendForce also believes that the final configuration will depend on wafer allocation decisions made by memory manufacturers. On the supply-demand front, HBM bit shipments in 2027 are expected to grow 50% to 60% year-over-year, but are still projected to fall short of demand growth. With supply constraints persisting, HBM suppliers are expected to maintain pricing power throughout 2027. The industry has broadly anticipated significant HBM price increases, and AI chip makers will face the dual pressure of limited HBM supply and rising procurement costs, further strengthening the incentive to adopt lower HBM capacity configurations.
Analyst: Kimi K3 Ultra-large Model to Be Open-Sourced Soon, AI Infrastructure Platforms May Be the Biggest Beneficiaries
analyst KawzInvests stated that Moonshot AI's upcoming Kimi K3 could become a significant event in the open-source AI space, and the infrastructure demand behind it may drive growth for AI cloud service platforms. Kimi K3 has approximately 2.8 trillion parameters, making it one of the ultra-large-scale open-source models. According to Moonshot's official evaluation, the model's performance is only slightly behind frontier models like Claude Fable 5 and GPT 5.6 Sol, and the full model weights are expected to be released on July 27.KawzInvests pointed out that a model of this scale cannot run on an ordinary laptop or even a single server; users need a computing cluster composed of a large number of GPUs to complete model loading and inference. When top-tier open-source models are made available for free, the biggest beneficiaries might not be ordinary users, but rather platforms that offer model hosting and inference services. For example, $DOCN (DigitalOcean) already supports serverless inference services for models like Kimi K2.6. Developers do not need to deploy hardware; they can call the model via API and pay per Token. Additionally, the platform hosts over 70 models and covers GPU leasing, model fine-tuning, and AI Agent development tools.As more large-scale open-source models are released, developers' demand for low-barrier AI infrastructure will continue to increase. Model hosting, inference services, and GPU cloud platforms may become key beneficiaries in the open-source AI wave.
AI Industry Express: NVIDIA NVL576 Optical Engine Configuration May Increase by 78%, Potentially Benefiting Lumentum, Coherent, etc.
According to Citrini analyst Jukan, FundaAI's latest report reveals that NVIDIA's NVL576 passive co-packaged optics technology nearly doubles the density of optical engines and optical components. The passive co-packaged optics technology increases the configuration volume of 3.2T optical engines per GPU from approximately 2.25 to around 4.0, an increase of 78%. It is estimated that the demand for Rubin Ultra optical engines will reach about 12 million units.This news may directly benefit direct suppliers of optical engines, including Lumentum, Coherent, POET, among others.
HIVE Digital Signs $350M Five-Year AI Cloud Services Contract, Deploying 2,016 NVIDIA Blackwell Ultra GPUs
Odaily News - Digital infrastructure company HIVE Digital Technologies' high-performance computing division, BUZZ High Performance Computing, has signed a five-year AI cloud services contract worth approximately $350 million with an undisclosed investment-grade enterprise client. The contract is expected to generate approximately $70 million in additional annual revenue, bringing BUZZ HPC's annualized revenue to approximately $180 million. BUZZ HPC will deploy 2,016 NVIDIA Blackwell Ultra GPUs, utilizing the GB300 NVL72 system, NVIDIA Quantum-X800 InfiniBand networking, and VAST Data storage. The cluster is expected to become operational later this year at Bell's AI Fabric facility in Merritt, British Columbia, Canada, which runs on renewable hydroelectric power and closed-loop liquid cooling technology. HIVE estimates the project's capital expenditure at approximately $185 million, which will be funded through previously announced financing and new equipment debt. The company expects daily revenue of approximately $500,000 from its HPC and AI business once the cluster is fully operational, and plans to achieve $200 million in annualized GPU cloud services revenue by year-end. The company holds approximately 400 megawatts of capacity in Canada, which can support over 120,000 GPUs over the next two years. (Bitcoin.com News)
Nvidia rises over 10% weekly; semiconductor sector rebounds as AI chip concerns ease
Odaily News: Nvidia (NVDA) shares have surged more than 10% this week, while the Philadelphia Semiconductor Index (SOX) rose over 8% during the same period. The sector had previously been sold off on concerns over the scale of AI infrastructure investment and high valuations of chip companies, but market sentiment has since recovered.Nvidia's gains were partly boosted by positive developments at SpaceX. During SpaceX's first earnings call, Musk stated that the company will build data centers both on the ground and in space in the future, and will exclusively use Nvidia chips.Meanwhile, the market remains focused on HBM memory supply pressure. According to The Information, Nvidia is testing a version of its Rubin Ultra chip with reduced HBM configuration to address the global shortage of high-bandwidth memory. (Yahoo Finance)
NVIDIA Considers Reducing Rubin Ultra GPU Configuration to Address HBM Memory Shortage
To address HBM memory supply shortages, NVIDIA is considering reducing the specifications of the next-generation Rubin Ultra GPU. According to sources cited by The Information, NVIDIA has internally tested at least three versions of the Rubin Ultra GPU with lower HBM configurations over the past few weeks, requiring HBM capacity lower than the initially announced specifications. Possible downgrade paths include scaling down from HBM4E to HBM4, and from 12Hi HBM to 8Hi HBM. This move aims to advance product launch plans under supply constraints.
Analyst: Kimi K3 Ultra-large Model to Be Open-Sourced Soon, AI Infrastructure Platforms May Be the Biggest Beneficiaries
analyst KawzInvests stated that Moonshot AI's upcoming Kimi K3 could become a significant event in the open-source AI space, and the infrastructure demand behind it may drive growth for AI cloud service platforms. Kimi K3 has approximately 2.8 trillion parameters, making it one of the ultra-large-scale open-source models. According to Moonshot's official evaluation, the model's performance is only slightly behind frontier models like Claude Fable 5 and GPT 5.6 Sol, and the full model weights are expected to be released on July 27.KawzInvests pointed out that a model of this scale cannot run on an ordinary laptop or even a single server; users need a computing cluster composed of a large number of GPUs to complete model loading and inference. When top-tier open-source models are made available for free, the biggest beneficiaries might not be ordinary users, but rather platforms that offer model hosting and inference services. For example, $DOCN (DigitalOcean) already supports serverless inference services for models like Kimi K2.6. Developers do not need to deploy hardware; they can call the model via API and pay per Token. Additionally, the platform hosts over 70 models and covers GPU leasing, model fine-tuning, and AI Agent development tools.As more large-scale open-source models are released, developers' demand for low-barrier AI infrastructure will continue to increase. Model hosting, inference services, and GPU cloud platforms may become key beneficiaries in the open-source AI wave.
Nomura Securities: May Package Substrate Shipments Up 36% YoY to Hit Record High, Rubin Mass Production and HBM4 Technology Roadmap Become Focus
According to TechFlow Research, on July 14, 2026, Nomura Securities released a research report citing data from Japan's Ministry of Economy, Trade and Industry. Japan's packaging substrate shipment value in May reached 27.8 billion yen, a year-on-year increase of 36%, hitting a record high; shipment area increased by 10%, and the average price rose 23% to 1.356 million yen per square meter. The report pointed out that NVIDIA Rubin packaging demand will ramp up this summer (at latest by August), but the variable worth paying more attention to is that Rubin Ultra may shift from a four-die structure to a dual-module structure, as well as the large interposer integration challenges brought by HBM4 wiring upgrades. Intel released EMIB-T technology at ECTC, expected to complete mass production readiness in 2026, capable of integrating up to 12 HBM4 units under an interposer-less solution, with power supply voltage drop improved by 68-80% compared to EMIB; TSMC maintains its lead relying on 3DFabric Alliance and advantages in power delivery and heat dissipation. Nomura Securities believes that the core battlefield of the next-generation packaging competition lies in power delivery, heat dissipation, CPO, and 3D hybrid bonding, and excess returns in the packaging substrate industry will come from the ability to bind to customer technology roadmaps.
Apple turns to NVIDIA as M2 Ultra chip fails to meet advanced AI demands
Apple is shifting its reliance to NVIDIA GPUs to support its artificial intelligence operations, as the company's self-developed M2 Ultra chip has failed to meet expectations when running advanced AI workloads.Sources indicate that Apple previously attempted to use its own servers to run Google's Gemini model to power AI capabilities for the new Siri. However, the performance of its chips fell short of requirements, ultimately forcing the company to turn to NVIDIA GPUs deployed on Google Cloud. Additionally, the development of Apple's next-generation AI server chip, "Baltra," has been delayed, while the M7 Ultra chip, which is expected to rival the performance of NVIDIA's Blackwell architecture, is unlikely to be launched before 2029 at the earliest. (Coin Bureau)
Related news
OpenAI's annualized revenue is expected to surpass $40 billion, with enterprise business ARR growing 32% month-over-month in July
Odaily News: AI company OpenAI's annualized revenue run rate (ARR) is expected to have exceeded $40 billion, roughly double the $20 billion reported at the end of 2025. Its ARR grew more than 20% month-over-month in July, while enterprise business ARR grew 32% month-over-month, outpacing the overall growth rate. OpenAI CFO Sarah Friar previously stated that ARR increased from $10 billion in June 2025 to $20 billion at the end of 2025, $25 billion in February this year, and $40 billion in July this year. If July ARR stands at $40 billion, it corresponds to monthly revenue of approximately $3.3 billion. OpenAI has announced the appointment of Dali Rajic as its new Chief Revenue Officer. The company's products have over 1 billion weekly active users and more than 2 million enterprise customers, both roughly double the figures from a year ago. Dali Rajic previously served as President and Chief Operating Officer of Wiz, a cybersecurity company under Alphabet. OpenAI has reduced prices on some models and added Fast mode and Ultra Fast mode for its top-tier model Sol. Both OpenAI and Anthropic have confidentially filed initial public offering (IPO) documents with the U.S. Securities and Exchange Commission (SEC). (TheElec)
HIVE Digital Signs $350M Five-Year AI Cloud Services Contract, Deploying 2,016 NVIDIA Blackwell Ultra GPUs
Odaily News - Digital infrastructure company HIVE Digital Technologies' high-performance computing division, BUZZ High Performance Computing, has signed a five-year AI cloud services contract worth approximately $350 million with an undisclosed investment-grade enterprise client. The contract is expected to generate approximately $70 million in additional annual revenue, bringing BUZZ HPC's annualized revenue to approximately $180 million. BUZZ HPC will deploy 2,016 NVIDIA Blackwell Ultra GPUs, utilizing the GB300 NVL72 system, NVIDIA Quantum-X800 InfiniBand networking, and VAST Data storage. The cluster is expected to become operational later this year at Bell's AI Fabric facility in Merritt, British Columbia, Canada, which runs on renewable hydroelectric power and closed-loop liquid cooling technology. HIVE estimates the project's capital expenditure at approximately $185 million, which will be funded through previously announced financing and new equipment debt. The company expects daily revenue of approximately $500,000 from its HPC and AI business once the cluster is fully operational, and plans to achieve $200 million in annualized GPU cloud services revenue by year-end. The company holds approximately 400 megawatts of capacity in Canada, which can support over 120,000 GPUs over the next two years. (Bitcoin.com News)
Serenity: Still Bullish on Memory Stocks, Photonics Sector Focus Shifts Back to AXTI and LITE
Odaily Planet Daily Report: "White-Haired Stock God" Serenity stated on the X platform that he remains bullish on memory stocks such as MU and Samsung. In addition, this week, the focus in the photonics sector has shifted back to AXT and Lumentum. The photonics industry has previously shown signs of supply tightness, with Coherent ($COHR) and Lumentum ($LITE) laser production capacity for the next two years already sold out. AAOI's recent earnings report also showed continued strong demand for optical modules.Meanwhile, a large number of retail investors have been panic-selling in the storage sector. There are indeed some changes in the market at present, such as Nvidia's Rubin Ultra optimizing for memory, and memory prices no longer rising as significantly as previously expected. However, at current prices, the operating profit of storage companies relative to their market capitalization remains extremely compelling, especially given the structural growth in storage demand. Moreover, the supply-demand imbalance next year could become even more severe.Serenity noted that the market tends to panic when an industry declines and follows new narratives. For example, helium during the Iran war, the LNG market, and SpaceX's earnings call, which once again emphasized storage supply tightness. Many times, industry bottlenecks and fundamentals haven't changed significantly, but market sentiment has already undergone a massive shift.
Citrini Analyst: Short-Term May See "Short Memory, Long Optical" Trading, Long-Term Outlook for Storage Industry Remains Positive
Odaily News, Citrini analyst Jukan stated on the X platform that the market may have to adopt a "short memory, long optical" trading strategy in the short term, with some hedge funds already positioning in this direction, primarily based on three reasons:First, after Korea's leveraged ETF market largely ceased to function, related investors are facing redemption pressure, which may lead to additional selling outflows. Adjustments in the capital chain of leveraged products could still put pressure on Korean memory stocks.Second, Nvidia is adjusting its next-generation AI system architecture. Nvidia may reduce the HBM configuration per cabinet for Rubin Ultra and connect multiple cabinets via optical interconnect technology, keeping Rubin Ultra cluster-level performance ahead. Even if the HBM reduction stems from supply constraints rather than declining demand, optical communications could still become a key beneficiary in AI infrastructure.Third, the market is forming a consensus that memory prices may peak within the next two quarters.However, the long-term outlook for the storage industry remains positive, though the short-term view is cautious. AI infrastructure investment is gradually shifting from a sole focus on HBM storage capacity to the overall efficiency of data center architecture, including high-speed optical interconnects and other components, which may drive funds to rotate from memory chips to optical communications in the short term.
Nvidia rises over 10% weekly; semiconductor sector rebounds as AI chip concerns ease
Odaily News: Nvidia (NVDA) shares have surged more than 10% this week, while the Philadelphia Semiconductor Index (SOX) rose over 8% during the same period. The sector had previously been sold off on concerns over the scale of AI infrastructure investment and high valuations of chip companies, but market sentiment has since recovered.Nvidia's gains were partly boosted by positive developments at SpaceX. During SpaceX's first earnings call, Musk stated that the company will build data centers both on the ground and in space in the future, and will exclusively use Nvidia chips.Meanwhile, the market remains focused on HBM memory supply pressure. According to The Information, Nvidia is testing a version of its Rubin Ultra chip with reduced HBM configuration to address the global shortage of high-bandwidth memory. (Yahoo Finance)
NVIDIA Considers Reducing Rubin Ultra GPU Configuration to Address HBM Memory Shortage
To address HBM memory supply shortages, NVIDIA is considering reducing the specifications of the next-generation Rubin Ultra GPU. According to sources cited by The Information, NVIDIA has internally tested at least three versions of the Rubin Ultra GPU with lower HBM configurations over the past few weeks, requiring HBM capacity lower than the initially announced specifications. Possible downgrade paths include scaling down from HBM4E to HBM4, and from 12Hi HBM to 8Hi HBM. This move aims to advance product launch plans under supply constraints.