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Notebooks Powered by Ryzen 9000HX and 9000HX3D "Fire Range" Available From March-April - Related to over, available, gpus, 4, nvidia

AMD's Frank Azor Expects Upcoming Presentation to Fully Detail RDNA 4 GPUs

AMD's Frank Azor Expects Upcoming Presentation to Fully Detail RDNA 4 GPUs

Macro Device I don't usually bet on corpses but since 5070 Ti is to be launched in the two weeks' notice the 9070 XT is super dead by the definition.

5070 is to be launched... some day during March which means if 9070 non-XT is released before it might have someone but AMD diehards and people with severe allergy to second hand video cards buying it... Otherwise, it doesn't matter, it's also super dead.

As per the prices... they will be as sweet and amazing as the NVIDIA ones. Like always.

I don't understand this theology at all. Will the 5070ti be faster than the 9070xt? Yes. Will the playable settings be much (if any) different? No. Is the price likelyfor one of those companies? [website] is probably ~$400, guy. The 7800xt (at $480) is the card to beat right now (comp to 4070ti/5070), and AMD may in-fact beat themselves by essentially lowering the 7800xt/9070 price to ~$400.Because they have to compete with 5060ti in price at the low-end bc many people are literally ignorant. "$400 16GB nVIDIA card? Good". No, 16GB nVIDIA card actually quite shit, but that's what people [website] are conceivably replacing 7800xt at the same price with something 'better' (for 1440p +- upscaling to 4k/960p->1440p upscaled RT) for the same price. Yes, it is essentially a refresh w/ higher [website] literally don't understand how this is not a fair-to-excellent value outside of buying a $250 2080 ti (or used 6800xt/7800xt for between $250 and less than $400)?I think that's correct placement and excellent value for new even considering the used market (especially considering addition of 8-bit/'tensor' ops for FSR4)?These things are going to hulk smash the 5070 in any instance needing greater than 45TF or [website] is the defining line of how a lot of instances of gaming are [website] people really going to be tricked bc nVIDIA may clock 5070 absurdly high (conceivably 3150-3165mhz stock with overclocking up to ~3500 [-3700 maybe, if nvidia lets it]?BC that is literally what they have to do, and they will. Also the die size of 5070 tells us it will clock high (like N48), and the quoted performance metrics on nvidia's own site, but [website] the end, just look at the OC clock settings of 7168/7680 16GB vs. It's pretty clear 5070 will have a STOCK clock above 9070 and maybe XT (for comp RT at low-rez), but that's why OC/[website] people blind to these things (actual performance) versus gimmicks like a high stock clock? I ask bc I don't know. Probably yes. This is why I think AMD is in-part waiting to see how 5070 clocks (stock/oc).I think they want to know if they can clock it at something like [website] or need to go all-out and clock it at something higher at stock bc they want to look similar/better compared to nVIDIA in that regard.:confused::confused::confused::confused::confused::confused:

AMD is set to share its fourth-quarter results on Tuesday, Feb. 4 facing opportunities and problems in the fast-changing AI chip market as investors a......

The next generation of graphics performance has arrived. We've prepared an all-new series of cards: ROG Astral. Featuring a new, sophisticated design ......

mav1178 yeah if it was only that simple. please read more about what has happened over the last 12 months with r......

Notebooks Powered by Ryzen 9000HX and 9000HX3D "Fire Range" Available From March-April

Notebooks Powered by Ryzen 9000HX and 9000HX3D

SL2 The definition for an APU isn't if it's decent. Crappy APU's are still APU's, and crappy APU's has been around for a long time. It's not really just about GPU performance either, an APU usually uses less power, especially in idle, and have fewer PCIE lanes.

Also, decent? You draw the line at 39x, as in including the 12 core (TWO chiplets), but excluding the 8 core? Um, yeah no, that's an odd choice for a gaming laptop. The point isn't that it will run slower, but it will cost more, and use more power (40% more in desktop counterparts, who knows what difference we'll see here), while still having the same IGP.

The 16 core have the obvious advantage of having a more effective IGP.

You still don't know if it's worth it with an IGP, given the radically different layout I've already explained.

Not exclusively tho, they're equally targeted at work, if not more so. Just beacuse forum members here and there dreams about owning a SHalo for gaming doesn't mean it dictates the target market. Macbook pro is their biggest competitor, and it's not really the most common gaming laptop. SHalo will probaly be pretty good in games, but that's not where the money is.

The <128 GB unified RAM makes them useful for a lot of things that needs more than 16 GB VRAM in a laptop.

yes but no but [website] don't disagree per se, however iGPUs in APUs were supposed to provide decent value. by "real" APUs I only meant the 80x0s models. Otherwise we need to call all of the latest AMD processors "APUs" as pretty much all of them have iGPUs, and for now it seems like that's going to stay - yet everyone call's them CPUs. So by the nature of the language evolution - it's what we commonly consider the meaning of the word is the definition of the word (well, acronym in this case).MacBook example is not a good one, at least in the gaming context, as the biggest issue is the metal api, that apple is insisting on - and lack of official vulkan support is what really hurts gaming on the idevices. The biggest selling point of the 395+ chips is the ability to assign 96gb out of 128gb of RAM to the GPU for LLMs and whatnot. Sure, that's nice. But other than testing/developing stuff, nobody is going to use that in production. Training of the models is going to stay in the servers area. Same with rendering - unless you need a mobile/portable station to do so at the consumers location - sure, otherwise everything stays in the rendering farms for bigger companies and workstations with dedicated GPUs in smaller companies. All that together is relatively small group - especially - considering the devices that have been unveiled. Only the HP zbook ultra is looking decent. Otherwise we're seeing a super thin asus (which will rock in gaming), a TABLET and a series of tiny PCs. So it looks like the target group is smaller than potential gamers - or feels like (opinion!)Anyhow - based on my gut feeling supported by almost two decades of system optimization worth of experience (read: an opinion) - I think 3D cache would improve gaming performance in this massively integrated APU and would make this chip way more attractive to more gaming laptops manufacturers.

Welcome to February, also known as the shortest month of the year. This week's AAA release brings you some open-world medieval knight action. The rest......

It only took about nine years, but I’ve finally made Windows Task View part of my everyday workflow.

Task View arrived with Windows 10 in 2015, provi......

Going from a multi-screen setup at home or the office to your laptop’s single screen while on the go can be… jarring, to say the least. It can really ......

Edward Snowden Lashes Out at NVIDIA Over GeForce RTX 50 Pricing And Value

Edward Snowden Lashes Out at NVIDIA Over GeForce RTX 50 Pricing And Value

It's not every day that we witness a famous NSA whistleblower voice their disappointment over modern gaming hardware. Edward Snowden, who likely needs no introduction, did not bother to hold back his disapproval of NVIDIA's not long ago launched RTX 5090, RTX 5080, and RTX 5070 gaming GPUs. The reviews for the RTX 5090 have been mostly positive, although the same cannot be expressed for its affordable sibling, the RTX 5080. Snowden, voicing his thoughts on Twitter, claimed that NVIDIA is selling "F-tier value for S-tier prices".Needless to say, there is no doubt that the RTX 5090's pricing is quite exorbitant, regardless of how anyone puts it. Snowden was particularly displeased with the amount of VRAM on offer, which is also hard to argue against. The RTX 5080 ships with "only" 16 GB of VRAM, whereas Snowden believes that it should have shipped with at least 24, or even 32 GB. He further adds that the RTX 5090, which ships with a whopping 32 GB of VRAM, should have been available with a 48 GB variant. As for the RTX 5070, the security consultant expressed desire for at least 16 GB of VRAM (instead of 12 GB).But that is not all that Snowden had to say. He equated selling $1000+ GPUs with 16 GB VRAM to a "monopolistic crime against consumers," further accusing NVIDIA of "endless next-quarter" thinking. This is debatable, considering that NVIDIA is a publicly traded business, and whether they stay afloat does boil down to their quarterly results, whether we like it or not. There is no denying that NVIDIA is in desperate need of some true competition in the high-end segment, which appears to be the only way to get the Green Camp to price their hardware appropriately. AMD's UDNA GPUs are likely set to do just that in a year or two. The rest, of course, remains to be seen.

Alan Smithee Der8auer covered this in his 5090 review video. Dropping the slot to PCIe gen 4 fixes it.

LittleBro X670 board or Intel 600/700 boards h......

Satechi has finally made its M4 Mac Mini Stand and Hub available for purchase, albeit with limited stocks for the time being. With a premium aluminium......

Take-Two Interactive has confirmed that Grand Theft Auto 6 is still on track for a fall 2025 release.

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 Frank Azor Expects 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

CPU intermediate

encryption

PCIe intermediate

API

GPU intermediate

cloud computing