AMD Radeon RX 9070 Series Launch Anticipated by Late February, Set to Transform Mainstream GPU Market

AMD Radeon RX 9070 Series Launch Anticipated by Late February, Set to Transform Mainstream GPU Market

AMD is reportedly set to host a dedicated event for the highly anticipated RX 9070 series GPUs by the end of February, marking a significant milestone for Team Red. This standalone presentation will officially unveil the latest products in their lineup, heightening excitement among technology enthusiasts.

The Launch of AMD’s RDNA 4 GPUs: March Availability and Competition with NVIDIA

AMD’s journey toward launching the RDNA 4 GPUs has experienced its share of delays. Initially, a release date aimed for late January was projected, but this was subsequently revised to March. The shift indicates AMD’s commitment to ensuring they provide robust software support for the new lineup. According to a recent report by Benchlife, the RX 9070 series is expected to be revealed by the end of February, although the precise date remains unconfirmed.

If nothing unexpected happens, AMD will hold a press conference for the Radeon RX 9000 series based on the RDNA 4 GPU architecture at the end of February, but the details are still to be confirmed.

– Benchlife

Interestingly, this event will not only focus on the RX 9070 WeUs but will also introduce new X3D CPUs. This strategic timing marks the first instance of AMD coordinating a hardware launch in March. The delay appears to be part of a tactical decision to carefully study NVIDIA’s approaches with their RTX Blackwell WeUs, allowing AMD to formulate an aggressive response.

AMD Radeon RX 8800 XT 'RDNA 4' GPU Allegedly Offers 45% Faster RT Performance Than 7900 XTX, On-Par With RTX 4080 In Raster & Lower Power Too

The Radeon RX 9070 XT and RX 9070 will be the two graphics cards showcased, both leveraging the capabilities of the RDNA 4 architecture. These GPUs are anticipated to include up to 16 GB of video memory. The RX 9070 XT is poised to rival NVIDIA’s RTX 4070 Ti, while the RX 9070 will take on the RTX 4070. AMD’s direction appears to center primarily on the mainstream GPU market, suggesting that they might not pursue a direct competitor to the GeForce RTX 5090 at this juncture.

As consumers await this unveiling, early leaks suggest that AMD’s forthcoming releases are set to make a significant impact, particularly benefiting those in the mid-range purchasing bracket. Enthusiasts can expect a compelling presentation showcasing innovative technology and competitive pricing strategies.

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As companies race towards developing advanced AI models, which have a more common name called artificial general intelligence (AGI), there is always an associated risk that comes with introducing something that can accomplish any task that a human being is capable of finishing. Meta likely realizes the threat of such an uncontrolled development roadmap can lead to, which is why it has drafted a new ‘Frontier AI Framework,’ which is a policy document highlighting the company’s continued efforts into making the best AI system possible, while monitoring its deleterious effects.Policy document mentions that these advanced AI systems come with several advantages, but Meta states these can result in a ‘catastrophic outcome’There are various scenarios in which Meta would not be compelled to release a capable AI model, with the company providing some conditions in the new policy document. Frontier AI Framework has identified two types of systems that are deemed too risky and are categorized under ‘high risk’ and ‘critical risk.’ These AI models are capable of aiding cybersecurity measures and chemical and biological attacks. These kinds of situations can result in a ‘catastrophic outcome.’Threat modelling is fundamental to our outcomes-led approach. We run threat modelling exercises both internally and with external experts with relevant domain expertise, where required. The goal of these exercises is to explore, in a systematic way, how frontier AI models might be used to produce catastrophic outcomes. Through this process, we develop threat scenarios’ which describe how different actors might use a frontier AI model to realise a catastrophic outcome. We design assessments to simulate whether our model would uniquely enable these scenarios, and identify the enabling capabilities the model would need to exhibit to do so. Our first set of evaluations are designed to identify whether all of these enabling capabilities are present, and if the model is sufficiently performant on them. If so, this would prompt further evaluation to understand whether the model could uniquely enable the threat scenario.Meta states that if it has identified a system that displays a critical risk, work will immediately be halted, and it will not be released. Unfortunately, there are still minute chances that the AI system is released, and while the company will exercise measures to ensure that an event of cataclysmic proportions does not transpire, Meta admits that these measures might be insufficient. Readers checking out the Frontier AI Framework will probably be nervous about where AGI is headed.Even if companies like Meta do not have internal measures in place to limit the release of potentially dangerous AI models, it is likely that the law will intervene in full force. Now, all that remains to be seen is how far this development can go.News Source: MetaSource&Images

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