{"id":237544,"date":"2025-10-24T12:32:12","date_gmt":"2025-10-24T12:32:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/237544\/"},"modified":"2025-10-24T12:32:12","modified_gmt":"2025-10-24T12:32:12","slug":"amd-officially-prices-radeon-ai-pro-r9700-at-1299-launch-date-announced","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/237544\/","title":{"rendered":"AMD Officially Prices Radeon AI PRO R9700 At $1299; Launch Date Announced"},"content":{"rendered":"

The most powerful RDNA 4 AI GPU will hit the shelves in a couple of days, and the official price tag confirms previous rumors. <\/p>\n

AMD Announces 27th October as the Official Launch Date for Radeon AI Pro R9700; GPU Starts at $1,299, Over 2X the RX 9070 XT<\/p>\n

AMD has officially announced today that its most powerful RDNA 4-based workstation GPU, Radeon AI Pro R9700, will now be hitting the retail shelves, starting on 27th October. The GPU was unveiled at Computex this year<\/a>, which was roughly five months ago. AMD has also revealed the official MSRP of the card, which confirms previous rumors. The card will officially cost $1299, and we have previously seen the ASRock Creator Radeon AI Pro R9700 listing for $1329<\/a> briefly on a retailer.<\/p>\n

\"AMD<\/a><\/p>\n

The Radeon AI Pro R9700 will be available from AMD’s board partners only since AMD won’t be selling the reference design. Some board partners may sell the card via system integrators only, as we previously saw XFX mentioning on the official website<\/a>. As far as the specs go, the Radeon AI Pro R9700 features the NAVI 48 die based on the RDNA 4 architecture. It’s technically the same GPU as used on the flagship gaming Radeon RX 9070 XT, bringing 4096 Stream Processors, 128 ROPs, and the same number of RT Cores as well. <\/p>\n

However, the major difference is the VRAM capacity, as the Radeon AI Pro R9700 doubles the memory capacity in comparison to the RX 9070 XT. Since the R9700 is a workstation card, designed for intensive AI workloads, higher memory capacity is deployed on the card by introducing more memory modules. The card features 32 GB GDDR6 VRAM through a 256-bit memory bus, making it the cheapest 32 GB workstation GPU. <\/p>\n

\"\"<\/a><\/p>\n

Powered by AMD RDNA\u2122 4 architecture, the Radeon AI PRO R9700 enables medium to large AI models to run directly on local workstations. Combined with AMD ROCm\u2122 open software support, the card accelerates large language models, diffusion models, and other compute-intensive workflows, bringing data-center-class efficiency to the desktop.\u00a0<\/p>\n

– AMD<\/p>\n

AMD says it’s two times faster vs W7800 in DeepSeek R1 and can handle LLMs and Text to Image AI workloads with ease. Previously, AMD has boasted about how advantageous its 32 GB VRAM is against high-end GPUs like GeForce RTX 5080, which ships with 16 GB VRAM only. Not just that, but the Radeon AI Pro R9700 also boasts Multi-GPU scalability via AMD ROCm, enabling high-throughput AI workloads on local workstations. It’s compact, features only a dual-slot design, and has a blower-style cooler for efficient airflow, making it ideal for multiple GPU setups for expanded memory capacity.<\/p>\n

Follow Wccftech on Google<\/a> or add us as a preferred source<\/a>, to get our news coverage and reviews in your feeds.<\/p>\n","protected":false},"excerpt":{"rendered":"The most powerful RDNA 4 AI GPU will hit the shelves in a couple of days, and the…\n","protected":false},"author":2,"featured_media":237545,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,254,255,64,63,105],"class_list":{"0":"post-237544","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-au","12":"tag-australia","13":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/237544","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=237544"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/237544\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/237545"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=237544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=237544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=237544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}