AMD Radeon RX 9070 and 9070 XT Official Performance Metrics Leaked, +42% 4K Performance Over Radeon RX 7900 GRE - Related to rx, amd's, 4k, market, major
AMD Radeon RX 9070 and 9070 XT Official Performance Metrics Leaked, +42% 4K Performance Over Radeon RX 7900 GRE

AMD's internal benchmarks of its upcoming RDNA 4-based RX 9070 series graphics cards have been leaked, thanks to VideoCardz. The flagship RX 9070 XT delivers up to 42% superior performance than the Radeon RX 7900 GRE at 4K resolution across a test suite of over 30 games, with the standard RX 9070 showing a 21% improvement in the same scenario. The performance data, encompassing raster and ray-traced titles at ultra settings, positions the RX 9070 series as a direct competitor to NVIDIA's RTX 4080 and RTX 5070 Ti. Notably, AMD's testing methodology focused on native rendering and ray tracing capabilities rather than upscaling technologies like FSR. The RX 9070 XT demonstrated large gains at 4K resolution, achieving a 51% performance uplift compared to the two-generations older RX 6900 XT. Meanwhile, the base RX 9070 model showed a 38% improvement over the RX 6800 XT at 4K with maximum settings [website] AMD confirms its new cards are designed to compete with NVIDIA's RTX 50 series, specific comparative benchmarks against the RTX 5070 Ti were absent from the presentation. AMD acknowledges it has yet to acquire the competitor's hardware for testing. The organization is expected to provide a comprehensive performance overview, potentially including additional GPU comparisons, during its official announcement on February 28. Both RX 9070 series cards will feature 16 GB of VRAM, matching the memory configuration of the RX 7900 GRE used as a primary comparison point. By the official launch date, AMD will have time to push final driver tweaks for optimal performance. Nonetheless, more information will surface as we near the official release date.
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Intel pushes back Ohio chip plant opening to 2030, citing market conditions

What just happened? Intel showcased a significant revision to the construction timeline of its Ohio One semiconductor manufacturing site in New Albany. The setback is the third substantial delay from the facility's original 2025 completion target. Intel emphasizes its commitment to the project and its ability to accelerate construction if market demand warrants.
The first phase of the facility, known as Mod 1, should be finished in 2030, with chip production beginning between 2030 and 2031. The enterprise's revised timeline also affects the project's second phase, Mod 2, pushing it back to a 2031 completion date, with operations beginning in 2032.
The Ohio One campus, once dubbed the "Silicon Heartland," is an ambitious undertaking. It will span approximately 1,000 acres and include up to eight semiconductor fabrication plants. The site will also accommodate support operations and industry partners. Initial investment estimates were around $20 billion, with potential for up to $100 billion in total development costs.
Despite the frequent delays, the site has made significant construction progress since work began in 2022. Key milestones include completion of the underground foundation, commencement of above-ground construction, installation of air separation units and underground piping, pouring over 200,000 cubic yards of concrete, and more than [website] million hours of invested labor.
The revised timeline reveals that the Ohio facilities will utilize process technologies developed after Intel's 14A and 14A-E nodes, currently scheduled for introduction in 2026-2027. These advanced manufacturing processes will likely rely on ASML's cutting-edge High-NA EUV lithography tools, costing around $350 million each.
Intel has already begun hiring and training employees for the Ohio facility. Workers are receiving training at existing Intel sites in Arizona, New Mexico, and Oregon, preparing them for the eventual opening of the local facility.
Intel's decision to delay the Ohio plant opening comes amid a challenging period for the firm and the semiconductor industry. The past year has seen Intel grappling with financial losses, layoffs, and leadership changes. The firm has also made strategic decisions to simplify its product roadmap, including canceling an AI chip project.
While the delay may raise concerns about Intel's outlook on future demand, it also allows the corporation to manage its capital expenditures more effectively during market uncertainty. By postponing significant investments in production equipment, Intel can focus on returning to profitability while maintaining the flexibility to ramp up operations when market conditions improve.
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AMD's RDNA 4 GPUs bring major encoding and ray tracing upgrades

The big picture: AMD finally revealed the specifications, pricing, and performance details of Radeon RX 9070 and Radeon RX 9070 XT graphics cards, with full reviews expected in the coming days. While we await those, we've already discussed the potential performance implications, FSR 4 upscaling, and now we want to provide additional context on improvements in the new Radeon's encoding quality – an often overlooked aspect of new GPUs (including by us).
AMD's GPU encoders have long been criticized for poor video encoding quality when using popular formats and bitrates for game streaming, leaving Nvidia as the clear choice for anyone who wants to use video encoding.
With RDNA 4, AMD asserts encoding quality is significantly improved, and the examples they showcased were certainly attention-grabbing. AMD is specifically highlighting 1080p [website] and HEVC at 6 megabits per second – one of the most commonly used setups – demonstrating a substantial increase in visual quality.
Whether this will hold true across a broad variety of scenarios remains to be seen, but historically, AMD's discussions on encoding quality have revolved around supporting new formats like AV1. With RDNA 4, AMD is focusing on tangible improvements in real-world use cases, suggesting they are far more confident in their encoder's quality.
AMD is touting a 25% gain in [website] low-latency encode quality, an 11% improvement in HEVC, improved AV1 encoding with B-frame support, and a 30% boost in encoding performance at 720p. These numbers likely refer to VMAF scores.
Beyond encoding, there are several other notable improvements. The ray tracing core now aspects two intersection engines instead of one, doubling throughput for ray-box and ray-triangle intersections. A new ray transform block has been introduced, offloading certain aspects of ray tracing from shaders to the RT core.
The BVH (Bounding Volume Hierarchy) is now twice as wide, and numerous other enhancements have been made to the ray tracing implementation – one reason why RDNA 4's ray tracing gains exceed its rasterization improvements.
Compute, Memory, and Display Enhancements.
The compute engine also includes several optimizations, along with a PCIe [website] x16 interface and a 256-bit memory bus using GDDR6. AMD indicates enhanced memory compression, and the GPUs are equipped with 16GB of VRAM, which should be sufficient for most modern games.
The display engine, however, is a mixed bag. While it supports DisplayPort [website], its capabilities remain unchanged from RDNA 3, with a maximum bandwidth of UHBR [website] instead of the full UHBR 20 now used on some 4K 240Hz displays and supported by Nvidia's Blackwell architecture.
HDMI [website] is also included. On a positive note, AMD states lower idle power consumption for multi-monitor setups, and video frame scheduling can now be offloaded to the GPU.
The Navi 48 die is 357mm² of TSMC 4nm silicon, featuring [website] billion transistors. This makes it 5% smaller than Nvidia's Blackwell GB203 used in the RTX 5080 and 5070 Ti, yet it contains 18% more transistors, meaning the design is more densely packed.
However, Nvidia still holds an advantage in terms of die area and transistor efficiency, as the RTX 5080 is expected to be about 15% faster in rasterization and possibly over 50% faster in ray tracing based on AMD's RX 9070 XT states – all while using fewer transistors and a smaller die. That expressed, the TDP of the RTX 5080 is 360W, compared to 304W for the 9070 XT, an 18% higher power draw – though actual power consumption in games may vary. The 9070 XT should be closer to the RTX 5070 Ti with its 300W TDP.
A couple of additional details to round things out: AMD is not producing reference models for the RX 9070 XT or RX 9070, meaning all designs will come from board partners. These partners include ASUS, Gigabyte, PowerColor, Sapphire, XFX, and other familiar names.
Availability is expected to be strong on March 6th, as these cards have reportedly been ready since early January.
Additionally, AMD is releasing a new version of its driver-based frame generation technology, AFMF [website], which will be available for the Radeon RX 6000 series and newer GPUs.
This version promises superior image quality and includes Radeon Image Sharpening, which can be applied to any game, video, or application at the driver level. AMD also hints at improved quality for this feature. There are also some AI-related aspects, though nothing particularly groundbreaking.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Semiconductors | 35% | 9.3% |
Consumer Electronics | 29% | 6.2% |
Enterprise Hardware | 22% | 5.8% |
Networking Equipment | 9% | 7.9% |
Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 18.7% |
Samsung | 16.4% |
Intel | 12.9% |
NVIDIA | 9.8% |
AMD | 7.3% |
Future Outlook and Predictions
The Amd and Radeon: Latest Developments 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:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
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
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- 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:
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
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
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 technologies discussed in this article. These definitions provide context for both technical and non-technical readers.