Technology News from Around the World, Instantly on Oracnoos!

Nvidia out? DeepSeek pairs with banned Chinese tech giant to deliver unbelievably low pricing on AI inference which could cause Nvidia's house of cards to come crashing - Related to banned, giant, inference, crashing, nvidia

Nvidia out? DeepSeek pairs with banned Chinese tech giant to deliver unbelievably low pricing on AI inference which could cause Nvidia's house of cards to come crashing

Nvidia out? DeepSeek pairs with banned Chinese tech giant to deliver unbelievably low pricing on AI inference which could cause Nvidia's house of cards to come crashing

DeepSeek’s V3 and R1 models are available through Huawei’s Ascend cloud service.

They are powered by the Ascend 910x accelerators banned in the US, EU and UK.

The pricing is much lower than offered by Azure and AWS who have started trialing DeepSeek.

DeepSeek in recent times massively unsettled global markets with the launch of its open reasoning LLM, which was built and trained for a fraction of the cost of models from much larger US competitors, although OpenAI has since accused DeepSeek’s developers of using its models to train theirs.

A new paper had claimed DeepSeek’s V3 LLM was trained on a cluster of just 2,048 Nvidia H800 GPUs - crippled versions of the H100 designed to comply with US export restrictions to China. Rumors around DeepSeek’s newer reasoning model, R1, suggest it may have been trained on as many as 50,000 Nvidia “Hopper” GPUs, including H100, H800, and the newer H20, although DeepSeek hasn’t - and likely won’t - confirm this. If true, it raises serious questions about China’s access to advanced AI hardware despite ongoing trade restrictions, although it’s no secret there’s a thriving black market for advanced Nvidia AI hardware there.

Now, in a move that’s going to further shake Western firms, the South China Morning Post reports Huawei Technologies’ cloud computing unit has partnered with Beijing-based AI infrastructure start-up SiliconFlow to make DeepSeek’s models available to end consumers for an incredibly low price.

This collaboration, which was worked on during the Chinese Lunar New Year holidays, provides efficient, cost-effective access to DeepSeek’s V3 and R1 models through Huawei’s Ascend cloud service, which is powered by Huawei’s own homegrown solutions, including the controversial Ascend 910x accelerators which are banned in the US, UK and Europe.

Huawei has made no secret that it wants to become the Chinese Nvidia, and Huawei Cloud proposes its performance levels are comparable to those of models running on premium global GPUs.

SiliconFlow, which hosts the DeepSeek models, has come out swinging with some aggressive pricing, offering it for 1 yuan (approximately US$[website] per 1 million input tokens and 2 yuan for output tokens with V3, while R1 access is priced at 4 yuan and 16 yuan.

Microsoft added DeepSeek to its Azure AI Foundry a few days ago, and Amazon swiftly followed suit, adding the LLM to its AWS’ Bedrock managed service. AWS showcased the AI model using an [website] instance, powered by eight Nvidia H200 GPUs delivering 1128GB of GPU memory. It’s early days for both cloud offerings though, and they work out much more expensive than SiliconFlow’s super-low pricing.

The collaboration between Huawei, SiliconFlow and DeepSeek highlights China’s broader strategy to strengthen its domestic AI capabilities while reducing reliance on Nvidia hardware.

The South China Morning Post notes, “The move to launch DeepSeek’s models on a homegrown hardware backbone highlights China’s progress in cutting dependency on foreign technology and bolstering its domestic AI industry amid growing efforts by the US to choke off China’s access to high-end chips that the US government noted could be used to advance military aims.”.

Security researchers warn of two Zyxel flaws being abused in the wild.

The manufacturer confirmed the findings but noted the devices are no longer supp......

A new discovery highlights Microsoft's efforts in improving privacy while in incognito mode on Chrome.

The clipboard history is no longer saved on Clo......

After a surprising lull on the new Netflix movies front over the past two weeks, February is here to kick the streaming titan's Original Movie line-up......

Rumor: Ex-GlobalFoundries Chief Caulfield Could Be Intel's Next CEO

Rumor: Ex-GlobalFoundries Chief Caulfield Could Be Intel's Next CEO

A change in leadership at GlobalFoundries could affect Intel's ongoing CEO hunt as Tim Breen will become GlobalFoundries' new CEO on April 28, 2025, while current CEO Thomas Caulfield will move to Executive Chairman. This switch has got people in the industry talking about whether Caulfield might play a role at Intel or its foundry operations in the future. Caulfield has done well at GlobalFoundries since 2018, he helped the company make money in 2019 by shifting away from making the newest chips to focus on making special semiconductors. This success happened without counting money from selling facilities to ON Semiconductor and Vanguard International Semiconductor.However, some industry experts point out a possible weak spot in Caulfield's background. While he knows a lot about materials science and engineering, he doesn't have much experience designing integrated circuits, &CHIPS . The timing matters a lot for Intel, which has some big tech goals coming up like their new Panther Lake processor set to come out in late 2025 and will use Intel's 18A process node . Both the 18A and 14A nodes need to succeed for Intel's manufacturing future to be strong. Bloomberg reported that Intel is currently focusing on external candidates for its CEO position, among the people under consideration are Marvel's CEO Matt Murphy and Lip-Bow Tan, former Cadence CEO and also a former member of Intel's board.

BIOSTAR, a leading manufacturer of motherboards, graphics cards, PC peripherals, and IPC solutions, proudly unveils the B860MT-E PRO motherboard, desi......

Google has now given its Gemini app access to a new AI model called Gemini [website] Flash Thinking Experimental.

Nhonho Intel needs to realize that people don't want these nonsense E-cores.

Much of the software is still poorly optimized for many cores, and eve......

ASRock says it’s shifting out of China to avoid U.S. tariffs

ASRock says it’s shifting out of China to avoid U.S. tariffs

Any business that relies on selling electronics to Americans is having a bit of a crisis at the moment. Less than two weeks into the new Trump administration, there’s a new 10 percent tariff on goods from China — which is most consumer goods, period — and it’s set to shoot prices through the roof. ASRock, manufacturer of motherboards and other PC hardware, is feeling the pinch.

The organization told PCMag that it “need[s] some time to transfer the manufacturing to other countries.” Shipments from China via the United States Postal Service were briefly halted on Tuesday, before resuming with huge projected increases in small parcel costs. Cheap goods stores, from independent resellers on markets like Temu and AliExpress, to massive operations like Amazon, will be affected with higher costs across the board.

Vietnam and Taiwan are some potential markets that could offer additional production to electronics manufacturers, but in the meantime market forces won’t let ASRock dramatically raise prices until its competitors do the same. “In the transition period, we may absorb some of the cost and also increase some in price to reflect the increased cost,” the enterprise noted.

Moving manufacturing is never quick or easy, and moving might not even solve the problem in the long term.

After an incredibly accelerated timetable for tariffs on China (which are in addition to several existing tariffs), Trump has threatened to do the same to Taiwan, the world’s most prolific manufacturer of semiconductors. While avoiding specifics, the US president mentioned he could impose tariffs as high as 100 percent to stimulate domestic production of computer chips. Trump has made similar threats to Europe, though he’s postponed a punishing 25 percent tariff on Mexico and Canada, America’s closest trading partner.

In short, there’s no place on Earth ASRock and other electronics companies could move their manufacturing to be truly safe from the whims of a leader who seems to make up policy on the spot. The United States’ CHIPS Act of 2022 has stimulated domestic production from companies like Intel, but modern foundries are so complex that it would take the improved part of a decade to even set up the capacity to create massive amounts of electronics within American borders. And that’s saying nothing of the much higher labor and living costs in the US versus China or Taiwan.

While Trump has targetted China in particular since his first presidential term from 2016-2020, he’s been shown to be more flexible for other markets. The 25 percent hike on all goods from Canada and Mexico is currently on hold for one month to allow for more negotiation, and perhaps not coincidentally, following predictions of a disastrous domestic economic outcome even from Trump’s conservative allies.

Trump has shown himself to be particularly receptive to arguments from big tech’s largest billionaire players, like Elon Musk and Mark Zuckerberg, who not long ago adjusted Facebook to align with the conservative leader’s social policies. Tesla and SpaceX CEO and Twitter/X owner Musk has reportedly been given direct access to the United States’ federal payment systems, causing internal chaos as trillions of dollars in funding appears to be removed from the legal control of Congress.

Responding to the rapid and unpredictable nature of Trump’s economic policy is a tall order. American corporations could exert a lot of influence on the administration, but companies like ASRock will have to be almost entirely reactive, and will likely find the American consumer market an extremely challenging one in the short term.

Death Stranding 2: On the Beach has been rated in Korea.

Director Hideo Kojima has also been teasing a new trailer.

Will it be shown at the rumored up......

Why? Graphics cards are useful items first and foremost. Then they become outdated and their value plummets. Only after a very long time, after most o......

QD-OLED Series: Monster Hunter Wilds PC Standard game code + $30 Steam Wallet.

4K Series: Monster Hunter Wilds PC Standard game code.

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
4.9%5.9%6.2%6.9%7.3%7.5%7.6%
4.9%5.9%6.2%6.9%7.3%7.5%7.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
6.9% 7.2% 7.4% 7.6%
6.9% Q1 7.2% Q2 7.4% Q3 7.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Semiconductors35%9.3%
Consumer Electronics29%6.2%
Enterprise Hardware22%5.8%
Networking Equipment9%7.9%
Other Hardware5%5.3%
Semiconductors35.0%Consumer Electronics29.0%Enterprise Hardware22.0%Networking Equipment9.0%Other Hardware5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple18.7%
Samsung16.4%
Intel12.9%
NVIDIA9.8%
AMD7.3%

Future Outlook and Predictions

The Nvidia Could Deepseek landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of hardware tech evolution:

Supply chain disruptions
Material availability constraints
Manufacturing complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

API beginner

interface APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

RAM intermediate

platform

TPU intermediate

encryption

GPU intermediate

API

cloud computing intermediate

cloud computing