NVIDIA Corporation (NVIDIA) is a technology company focused on accelerated computing innovation. With GPU (graphics processing unit) as its core technology, it promotes the revolution of artificial intelligence (AI), graphics rendering and high-performance computing (HPC). NVIDIA's ecosystem covers hardware (such as GPU, CPU), software platforms (such as CUDA, Omniverse) and cloud services, sustainable computing and digital twin technology.
Odaily Report: Canadian AI model startup Cohere is conducting a large-scale funding round, with a valuation of $20.5 billion, roughly tripling from a year ago. Cohere said on Thursday that it has completed the first tranche of this funding round, with total funding expected to reach up to $5 billion. The company stated that it has received investment commitments from investors including the Canadian government and NVIDIA, in addition to the $600 million investment previously disclosed by European retail giant Schwarz Group. Among them, the Canadian government has agreed to invest up to $1.14 billion in Cohere.Canadian Prime Minister Carney stated that Cohere plans to keep its headquarters in Canada and is expected to build new computing infrastructure in the country by 2030, with an investment of approximately $1.2 billion. If this funding round is successfully completed, it will become the largest private fundraising in Canadian history, far exceeding previous records. Cohere declined to disclose how much of the $5 billion funding target has been finalized, but the Chief Financial Officer said the first tranche has covered "the majority" of it. This valuation does not include the funds raised in this round. (Bloomberg)
Odaily reports: AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. The funding was driven by an order from a large customer with $100 million in annual recurring revenue.General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. Unlike the traditional approach of building large data centers, the company deploys AI compute by leasing data center space, utilizing smaller-scale power resources, and retrofitting Bitcoin mining farms, with plans to deploy 75 megawatts of compute capacity by 2027. Amid CoreWeave's stock falling to near a 12-month low and Elon Musk's prediction that more than 200 new cloud service providers will undergo elimination and consolidation, General Compute co-founder and CEO Finn Puklowski believes that market fears of a chip-induced industry collapse are severely exaggerated, and customer demand for various chips and compute remains strong.PANews, October 27: According to reports, AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. Currently, General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. (TechCrunch)
According to TechCrunch, NVIDIA participated in the $14 million Series B financing round for Indian startup Simplismart, which was led by Dallas Venture Capital with participation from Accel, Shastra VC, and Micromax. The transaction values the four-year-old company at approximately $100 million, including the new investment. Simplismart states that its software sits between AI models and compute infrastructure, automatically adjusting model deployment and management to optimize response time, request throughput, and compute utilization, enabling customers to better leverage their existing GPU resources. The company noted that its software helped AI video generation platform InVideo reduce GPU service costs by 56%. Simplismart CEO Amritanshu Jain told TechCrunch that the company’s annualized revenue run rate grew 14 times over the past six months to reach an eight-figure amount. This figure is based on recent customer usage rather than contractual recurring revenue, and excludes revenue passed through to infrastructure providers. Although the company serves more customers in India, the United States accounts for more than half of its total revenue.
According to Yonhap News Agency, NAVER announced on October 27 that it has signed a computing infrastructure contract worth approximately $9 billion (around 12 trillion Korean won) with global asset manager Brookfield, satisfying the prerequisites for NVIDIA's strategic investment. The process for NVIDIA to subscribe to $1 billion (approximately 1.3 trillion won) in new shares through a third-party placement is expected to be completed in the near term, upon which it will become NAVER's third-largest shareholder. This contract is part of the $10 billion global AI factory project announced by the three parties in July. Under their agreed division of labor, NAVER will oversee operations, NVIDIA will provide technical collaboration for next-generation high-performance computing platforms such as the DSX, and Brookfield will handle infrastructure financing. As a result, NAVER will not need to directly bear the substantial capital expenditures associated with data center construction and GPU procurement, allowing it to focus on AI infrastructure operations and customer acquisition.
US construction robotics startup Bedrock Robotics announced the completion of a $600 million Series C funding round, bringing its post-money valuation to $4.1 billion, a significant increase from the $1.75 billion valuation at its financing in February this year, as cumulative funding approaches $1 billion. The round was co-led by CapitalG and Emergence Capital, with participation from Valor Equity Partners, 8VC, NVIDIA's venture capital arm NVentures, Eclipse, Georgian, Perry Creek Capital, Temasek, and others.
According to the UK's Financial Times, NVIDIA-backed AI cloud provider CoreWeave is seeking to tap into insurers' vast pools of capital to reduce its financing costs for purchasing AI chips and building infrastructure. Brandon McBride, CoreWeave's co-founder and head of financing, stated that if the company can secure investment-grade ratings for more of its chip-backed debt and ultimately improve its own credit rating, it will have the opportunity to enter the insurance capital market. He noted that the insurance industry's capital base is "almost infinite," because "all the money sitting in insurance capital pools represents one of the largest funding sources in the world."
According to Yonhap News Agency citing Reuters, the U.S. Department of Justice has launched an investigation into NVIDIA's acquisition of Hugging Face, focusing on whether the $12.9 billion deal would allow NVIDIA to control core AI distribution nodes, and whether NVIDIA could use the open-source AI model sharing platform to harm competitors or leverage it as a bargaining chip. The investigation also covers NVIDIA's acquisition, investment, and sales practices and whether it pressures customers, including whether it allocates more AI chips to customers purchasing network equipment and Groq processors after licensing Groq technology and recruiting key engineers, as well as its December 2025 acquisition of SchedMD and Run:ai. Reports state that the investigation does not indicate evidence of wrongdoing, nor will it necessarily lead to litigation; NVIDIA stated that Hugging Face will continue to remain open, with the transaction expected to be completed in the first half of next year.
The Financial Street Forum Annual Meeting has opened and regulators are set to speak, while leading A-share companies such as Montage Technology launch share buybacks. NVIDIA states that the RTX 5090 shortage is merely due to capacity constraints. Protests occur in multiple European countries and the euro declines, as Iran's new defense minister is approved.
Odaily News NVIDIA has launched a suite of software security tools for AI agents, claiming that these tools could have prevented the hacking incident involving Hugging Face. Hugging Face is an AI programming hub, and NVIDIA acquired it for $13 billion months after it was breached by OpenAI's rogue AI agent. The tool, called OpenShell, leverages NVIDIA CPU hardware features to constrain AI agents and is partnering with Arm and Intel to ensure compatibility. Another system, Sentry, can cut off rogue agents attempting to escape their containers. NVIDIA CEO Jensen Huang has refused broad AI security regulation, treating rogue agents as an engineering problem. (Reuters)
NVIDIA has officially released the open-source AI agent runtime platform OpenShell 0.1.0. The platform is designed to establish security boundaries and runtime controls outside the workload without modifying the AI agent's own code. OpenShell integrates technologies such as kernel-level sandbox execution, external oversight services, external credential injection, and formal policy verification, enabling fine-grained interception of HTTP, GraphQL, and MCP network traffic (such as permitting data reads while blocking writes) to prevent sensitive credentials from leaking.
According to TechFlow Research, a September 14, 2026 report from Bernstein states that Anthropic CEO Dario Amodei has proposed a "pace framework," advocating for a slowdown in the rate of AI model capability advancement, encompassing three steps: third-party evaluations, US regulation covering all AI companies, and coordination with China. The semiconductor sector is up 67% year-to-date, down 19% from its June high, and rebounded 13% from its July low. Bernstein believes that a slowdown in pace does not mean a slowdown in spending; Dario is referring to capping training compute, not halting training altogether, suggesting a shift from extremely fast to moderately fast. AI semiconductor demand is increasingly driven by inference, and current compute capacity falls far short of meeting the requirements of existing models. Concerns regarding China may be the larger driver behind the proposal, with Dario recommending the maintenance of bans on chip and equipment exports to China. Bernstein maintains a positive outlook on the AI buildout, setting price targets of $400 for NVIDIA, $575 for Broadcom, and $700 for Applied Materials, all with an Outperform rating.
According to Bloomberg, NVIDIA has established the NVIDIA Corporation Employees Federal Political Action Committee (PAC), which will make political contributions to U.S. federal candidates through voluntary donations from eligible employees. The move comes as the U.S. Congress and the Trump administration discuss an AI regulatory framework. With a market capitalization exceeding $5 trillion, NVIDIA’s chips serve as critical infrastructure for the AI industry, and the company continues to expand its policy influence in Washington.
According to Odaily, Citrini analyst jukan posted on X platform that, citing Korean media reports, Samsung Electronics has decided to manufacture NVHBM base dies using TSMC's 3nm process at NVIDIA's request. Samsung Electronics has not entirely ruled out using its own foundry lines and is currently validating the feasibility of producing base dies in-house in the event that NVHBM demand exceeds TSMC's capacity.
According to CNBC, Microsoft officially released its third-generation in-house AI accelerator chip, the Maia 300, on October 12, announcing plans to use the Maia series as the primary architecture for running AI models to gradually reduce reliance on NVIDIA GPUs. The Maia 300 is slated for production in 2027, with each data center rack capable of hosting 96 chips (doubling over the previous generation), increasing AI token processing volume per rack by seven times and improving token processing efficiency per megawatt by 40% compared to GPUs. Microsoft aims to deploy multi-gigawatt-scale Maia chip clusters, with Microsoft 365 Copilot expected to be the first to benefit from the performance improvements. Analysts at Evercore ISI estimate that by Q1 2027, Maia chips will account for approximately 10% of Microsoft’s AI chip spending. Notably, Maia accelerators are currently reserved exclusively for internal use and are not available for external leasing; NVIDIA and AMD will continue to participate in Microsoft's model training operations.
According to fund flow research, JPMorgan’s October 7, 2026 research report indicates that retail net inflows reached $5.7 billion in a single week, below the 12-month average of $6.7 billion. The percentile rank for tech sector ETF inflows rose from 4% four weeks ago to 73%. The top five purchased stocks were NVIDIA ($834 million), Google ($265 million), SNDK ($150 million), MU ($135 million), and STX ($129 million). Consensus earnings growth expectations for the Q3 earnings season stand at 31%, or 27% excluding energy. JPMorgan notes that retail investors are net buying across the entire technology sector, with semiconductors, hardware, and software all gaining favor; software has also returned to focus. Whether this rotation can continue will depend on validation during the Q3 earnings season. Large banks, having underperformed recently, present pre-earnings rebound opportunities amid improving net interest income expectations. On the Brazil front, after EWZ surged 13% on Monday, retail investors took profits. JPMorgan strategists project the index could appreciate another 20% in the short term.
Crypto analyst Ali posted on the X platform stating that Nvidia (NVDA) shares reached an all-time high of $237.88 on October 2, rising nearly 14% since September 14. The stock is currently testing the upper channel resistance and is poised to potentially climb toward a $260 target. With the AI sector regaining market focus, AI-related ETFs may see breakout rallies. The Direxion Daily Semiconductor Bull 3X ETF (SOXL) aims to generate triple the daily performance of the semiconductor index and has recently displayed breakout tendencies. If the support around $150 holds, a follow-through target of $210 comes into view. The Roundhill Memory ETF (DRAM), which primarily invests in global memory chip manufacturers, is currently consolidating in an ascending triangle pattern. A decisive break above $64 could open further upside room toward an $80 target. Ali believes the subsequent performance of these two ETFs will likely confirm the ongoing extension of the AI cycle.
The latest portfolio holdings of "AI Oracle" Leopold Aschenbrenner show that his core positions remain concentrated in semiconductor and AI infrastructure-related companies, with SanDisk (SNDK) and Micron (MU) accounting for approximately 28% and 27.5% of the portfolio respectively, ranking as the highest-priority holdings.
According to Korean media outlet MK and data from the Korean Securities Information Portal, since September, Korean individual investors have significantly trimmed their positions in multiple U.S. semiconductor stocks while simultaneously adding to semiconductor leveraged ETF holdings. Net selling exceeded $100 million for Micron, $68.61 million for SanDisk, $49.37 million for Marvell Technology, and $15.56 million for NVIDIA. The SK hynix ADR, which recently debuted on the NYSE in July, recorded net selling of $46.16 million during the same period, contrasting with cumulative net purchases of $811 million through the end of August.
Odaily News NVIDIA has launched a suite of software security tools for AI agents, claiming that these tools could have prevented the hacking incident involving Hugging Face. Hugging Face is an AI programming hub, and NVIDIA acquired it for $13 billion months after it was breached by OpenAI's rogue AI agent. The tool, called OpenShell, leverages NVIDIA CPU hardware features to constrain AI agents and is partnering with Arm and Intel to ensure compatibility. Another system, Sentry, can cut off rogue agents attempting to escape their containers. NVIDIA CEO Jensen Huang has refused broad AI security regulation, treating rogue agents as an engineering problem. (Reuters)
According to TechCrunch, the Open Safety AI Alliance (OSAA), led by Nvidia, has exceeded 120 member companies just one week after its establishment, including tech and financial giants such as Adobe, BlackRock, Cisco, Intel, Microsoft, and Visa. During the Black Hat Cybersecurity Conference held in Las Vegas this week, the alliance established a working group named "Shared AI Findings Exchange" (SAFE) and has submitted multiple proposals open for public comment, managed by the Linux Foundation. The proposals cover confidential reporting mechanisms for AI cybersecurity incidents, alert processes for affected parties, and no-fault attribution analysis frameworks. Meanwhile, member companies are also actively contributing open-source technologies: Nvidia open-sourced the LLM vulnerability scanning tool Garak, Amazon contributed the agent building tool Strands Agents and authorization language Cedar, and Okta and Red Hat are advancing agent identity authentication and governance technologies respectively. Notably, Anthropic, OpenAI, and Google have not yet joined the alliance, although OpenAI and Google previously co-signed the open letter that spurred the creation of the alliance.
NVIDIA CEO Jensen Huang stated that attackers have begun using frontier AI, and defenders similarly need to establish a frontier AI ecosystem composed of the best open-source and closed-source models, and leverage the global community to enhance defense capabilities.
Odaily Report: NVIDIA and Oracle have announced an expanded partnership, scaling the deployment of the NVIDIA Vera Rubin architecture to the multi-gigawatt level and bringing the NVIDIA Vera CPU into Oracle Cloud Infrastructure (OCI). Additionally, Oracle also announced in the statement a partnership with Cerebras, under which Oracle will use Cerebras' equipment in its AI data centers.
Odaily reports: AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. The funding was driven by an order from a large customer with $100 million in annual recurring revenue.General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. Unlike the traditional approach of building large data centers, the company deploys AI compute by leasing data center space, utilizing smaller-scale power resources, and retrofitting Bitcoin mining farms, with plans to deploy 75 megawatts of compute capacity by 2027. Amid CoreWeave's stock falling to near a 12-month low and Elon Musk's prediction that more than 200 new cloud service providers will undergo elimination and consolidation, General Compute co-founder and CEO Finn Puklowski believes that market fears of a chip-induced industry collapse are severely exaggerated, and customer demand for various chips and compute remains strong.PANews, October 27: According to reports, AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. Currently, General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. (TechCrunch)
According to TechCrunch, NVIDIA participated in the $14 million Series B financing round for Indian startup Simplismart, which was led by Dallas Venture Capital with participation from Accel, Shastra VC, and Micromax. The transaction values the four-year-old company at approximately $100 million, including the new investment. Simplismart states that its software sits between AI models and compute infrastructure, automatically adjusting model deployment and management to optimize response time, request throughput, and compute utilization, enabling customers to better leverage their existing GPU resources. The company noted that its software helped AI video generation platform InVideo reduce GPU service costs by 56%. Simplismart CEO Amritanshu Jain told TechCrunch that the company’s annualized revenue run rate grew 14 times over the past six months to reach an eight-figure amount. This figure is based on recent customer usage rather than contractual recurring revenue, and excludes revenue passed through to infrastructure providers. Although the company serves more customers in India, the United States accounts for more than half of its total revenue.
NVIDIA stated that it will expand its collaboration with Meta on Muse and the Muse series models, focusing on optimizing AI Agent training and inference performance. The partnership will also explore using NVIDIA OpenShell to enhance the secure deployment of AI Agents and leverage NVIDIA Sentry to monitor Agent behavior. On the infrastructure front, Meta plans to expand deployments of NVIDIA Vera Rubin and Vera CPUs, and adopt Spectrum-X Ethernet networking and BlueField-4 to improve network efficiency and throughput. Additionally, NVIDIA plans to invest $3 billion in Meta's equity offering.
According to an official announcement from Bitget, the platform has partnered with structured products liquidity provider VETA Finance to upgrade its stock dual-currency investment products. This upgrade expands the product pool beyond existing popular underlying assets such as NVIDIA (rNVDA), Google (rGOOGL), and AMD (rAMD), while enriching investment term options; supported by deeper liquidity, it provides more competitive annualized yields, and optimizes the product architecture and settlement mechanisms to deliver a better trading experience and more diversified return opportunities for users.
Gate has released the Singapore special edition of its documentary series "Behind Gate: Dr. Han," which follows a three-day itinerary as its main thread, authentically chronicling the daily work and key moments of platform founder and CEO Dr. Han during TOKEN2049 Singapore, covering multiple scenarios including the launch of Gate Money, keynote speeches, media interviews, client meetings, and an awards dinner.The documentary focuses on the release process of Gate Money and reveals a real clip of Dr. Han using NVIDIA stock to buy coffee before his speech. He subsequently shared this experience in his keynote address to demonstrate the connection between asset management and everyday payments. In the film, Dr. Han states that Gate Money is not only aimed at traders but also hopes to serve a broad global user base, and that the platform needs to maintain innovation while continuously refining its products to meet users' increasingly diverse financial needs.The film also captures heartwarming moments of Dr. Han communicating with team members, discussing customer needs, and preparing a birthday cake for colleagues, revealing an everyday side beyond the tight schedule. Looking ahead, Dr. Han regards Gate Money as a new mission and starting point, and sets out a long-term vision of serving approximately 500 million users over the next five years, demonstrating Gate's strategic direction of continued development toward a comprehensive financial services platform.
Odaily Report: Canadian AI model startup Cohere is conducting a large-scale funding round, with a valuation of $20.5 billion, roughly tripling from a year ago. Cohere said on Thursday that it has completed the first tranche of this funding round, with total funding expected to reach up to $5 billion. The company stated that it has received investment commitments from investors including the Canadian government and NVIDIA, in addition to the $600 million investment previously disclosed by European retail giant Schwarz Group. Among them, the Canadian government has agreed to invest up to $1.14 billion in Cohere.Canadian Prime Minister Carney stated that Cohere plans to keep its headquarters in Canada and is expected to build new computing infrastructure in the country by 2030, with an investment of approximately $1.2 billion. If this funding round is successfully completed, it will become the largest private fundraising in Canadian history, far exceeding previous records. Cohere declined to disclose how much of the $5 billion funding target has been finalized, but the Chief Financial Officer said the first tranche has covered "the majority" of it. This valuation does not include the funds raised in this round. (Bloomberg)
According to Yonhap News Agency citing Reuters, the U.S. Department of Justice has launched an investigation into NVIDIA's acquisition of Hugging Face, focusing on whether the $12.9 billion deal would allow NVIDIA to control core AI distribution nodes, and whether NVIDIA could use the open-source AI model sharing platform to harm competitors or leverage it as a bargaining chip. The investigation also covers NVIDIA's acquisition, investment, and sales practices and whether it pressures customers, including whether it allocates more AI chips to customers purchasing network equipment and Groq processors after licensing Groq technology and recruiting key engineers, as well as its December 2025 acquisition of SchedMD and Run:ai. Reports state that the investigation does not indicate evidence of wrongdoing, nor will it necessarily lead to litigation; NVIDIA stated that Hugging Face will continue to remain open, with the transaction expected to be completed in the first half of next year.
Odaily Report: NVIDIA and Oracle have announced an expanded partnership, scaling the deployment of the NVIDIA Vera Rubin architecture to the multi-gigawatt level and bringing the NVIDIA Vera CPU into Oracle Cloud Infrastructure (OCI). Additionally, Oracle also announced in the statement a partnership with Cerebras, under which Oracle will use Cerebras' equipment in its AI data centers.
Odaily reports: AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. The funding was driven by an order from a large customer with $100 million in annual recurring revenue.General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. Unlike the traditional approach of building large data centers, the company deploys AI compute by leasing data center space, utilizing smaller-scale power resources, and retrofitting Bitcoin mining farms, with plans to deploy 75 megawatts of compute capacity by 2027. Amid CoreWeave's stock falling to near a 12-month low and Elon Musk's prediction that more than 200 new cloud service providers will undergo elimination and consolidation, General Compute co-founder and CEO Finn Puklowski believes that market fears of a chip-induced industry collapse are severely exaggerated, and customer demand for various chips and compute remains strong.PANews, October 27: According to reports, AI compute startup General Compute has completed a $100 million Series A funding round, led by Blackbird Ventures and Abstract Ventures, with a post-money valuation of $800 million, a significant increase from the $60 million valuation after its seed round in May this year. Currently, General Compute focuses on AI inference compute, using specialized chips from NVIDIA competitors, and has reached a $400 million chip procurement agreement with SambaNova, with suppliers also including Positron and Cerebras. (TechCrunch)
According to TechCrunch, NVIDIA participated in the $14 million Series B financing round for Indian startup Simplismart, which was led by Dallas Venture Capital with participation from Accel, Shastra VC, and Micromax. The transaction values the four-year-old company at approximately $100 million, including the new investment. Simplismart states that its software sits between AI models and compute infrastructure, automatically adjusting model deployment and management to optimize response time, request throughput, and compute utilization, enabling customers to better leverage their existing GPU resources. The company noted that its software helped AI video generation platform InVideo reduce GPU service costs by 56%. Simplismart CEO Amritanshu Jain told TechCrunch that the company’s annualized revenue run rate grew 14 times over the past six months to reach an eight-figure amount. This figure is based on recent customer usage rather than contractual recurring revenue, and excludes revenue passed through to infrastructure providers. Although the company serves more customers in India, the United States accounts for more than half of its total revenue.
According to Yonhap News Agency, NAVER announced on October 27 that it has signed a computing infrastructure contract worth approximately $9 billion (around 12 trillion Korean won) with global asset manager Brookfield, satisfying the prerequisites for NVIDIA's strategic investment. The process for NVIDIA to subscribe to $1 billion (approximately 1.3 trillion won) in new shares through a third-party placement is expected to be completed in the near term, upon which it will become NAVER's third-largest shareholder. This contract is part of the $10 billion global AI factory project announced by the three parties in July. Under their agreed division of labor, NAVER will oversee operations, NVIDIA will provide technical collaboration for next-generation high-performance computing platforms such as the DSX, and Brookfield will handle infrastructure financing. As a result, NAVER will not need to directly bear the substantial capital expenditures associated with data center construction and GPU procurement, allowing it to focus on AI infrastructure operations and customer acquisition.