{"product_id":"amd-radeon-rx-7900-xtx-24gb","title":"AMD Radeon RX 7900 XTX (24GB)","description":"\u003cp\u003eThe AMD Radeon RX 7900 XTX is AMD’s flagship RDNA 3 gaming card and the first consumer GPU to use a chiplet design, giving it a 24GB memory pool and near-flagship performance at a price well below the equivalent NVIDIA tier. It suits gamers chasing high-refresh 4K, streamers who need encode headroom and Linux users who want a fully open driver stack.\u003c\/p\u003e\n\u003ch2\u003eWho it's for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-refresh native 4K gaming where rasterization performance and VRAM matter most\u003c\/li\u003e\n\u003cli\u003eStreamers and content creators using AMD’s dual encode engines and OpenCL\/HIP compute in supported applications\u003c\/li\u003e\n\u003cli\u003eLocal image generation and smaller LLM inference, which a 12GB or 16GB card cannot do as comfortably\u003c\/li\u003e\n\u003cli\u003eLinux users who want ROCm and open-source PyTorch-based AI\/ML development\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eKey features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eChiplet-based Navi 31 GPU:\u003c\/strong\u003e a 5nm graphics compute die paired with six 6nm memory cache dies (MCDs), the first gaming GPU to split compute and memory logic across separate chiplets for better yields and cost efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e96 Compute Units, 6,144 Stream Processors:\u003c\/strong\u003e high-throughput parallel compute for rendering, ray tracing and general GPU workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e24GB GDDR6 on a 384-bit bus:\u003c\/strong\u003e more memory than NVIDIA’s equivalent-tier competition, at up to 20Gbps for 960GB\/s of raw bandwidth.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e96MB AMD Infinity Cache:\u003c\/strong\u003e a large on-die cache that lifts effective memory bandwidth up to 3,500GB\/s, keeping the GPU fed at 4K and beyond without a wider memory bus.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e96 second-generation Ray Accelerators and 192 AI Accelerators:\u003c\/strong\u003e dedicated hardware for ray tracing and AI-assisted upscaling (FSR) workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 2,500MHz boost clock:\u003c\/strong\u003e 2,300MHz game clock, for consistent frame rates under load.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e61.4 TFLOPS FP32:\u003c\/strong\u003e strong raw compute for gaming and GPU-accelerated creative applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROCm support on Linux:\u003c\/strong\u003e an open-source path into PyTorch-based AI\/ML development, without proprietary CUDA tooling.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eAMD RDNA 3 (Navi 31), chiplet design: 5nm GCD + 6nm MCDs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute units\u003c\/td\u003e\n\u003ctd\u003e96 (6,144 Stream Processors)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAccelerators\u003c\/td\u003e\n\u003ctd\u003e96 Ray Accelerators (2nd-generation) \/ 192 AI Accelerators\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e24GB GDDR6, 384-bit bus, 20Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e960GB\/s (up to 3,500GB\/s effective with Infinity Cache)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInfinity Cache\u003c\/td\u003e\n\u003ctd\u003e96MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFP32 compute\u003c\/td\u003e\n\u003ctd\u003e61.4 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClocks\u003c\/td\u003e\n\u003ctd\u003e2,300MHz game \/ up to 2,500MHz boost\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal board power\u003c\/td\u003e\n\u003ctd\u003e355W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower connectors\u003c\/td\u003e\n\u003ctd\u003e2x 8-pin PCIe (reference design)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay outputs\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 2.1, HDMI 2.1, USB-C (reference design)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLaunch\u003c\/td\u003e\n\u003ctd\u003eDecember 2022, original MSRP $999\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eGood to know\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAt native 4K it trades blows with NVIDIA’s previous-generation flagship class while typically costing less. The trade is that DLSS and ray tracing quality still generally lead FSR and AMD’s ray accelerators in the most demanding path-traced titles.\u003c\/li\u003e\n\u003cli\u003eROCm is open and improving, but it does not yet have the plug-and-play maturity of CUDA for AI\/ML work, particularly on Windows. Support is strongest on Linux, where ROCm is officially validated for this GPU.\u003c\/li\u003e\n\u003cli\u003e24GB of VRAM holds up better than 16GB competitors as texture and asset sizes grow, and titles that felt VRAM-constrained on an 8GB or 12GB card will not be an issue. Games running at 1440p today have room to move up to native 4K.\u003c\/li\u003e\n\u003cli\u003eThe Adrenalin driver suite offers strong feature parity for streaming, recording and performance tuning.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChoose the RX 7900 XTX for the most VRAM and raw performance per pound in AMD’s lineup, if you are comfortable with FSR instead of DLSS. If best-in-class ray tracing or CUDA matters more, look at NVIDIA.\u003c\/p\u003e","brand":"AMD","offers":[{"title":"Default Title","offer_id":58232537612670,"sku":"AMD-RX7900XTX","price":899.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/gpu-rx-7900xtx.jpg?v=1792094035","url":"https:\/\/computahardware.net\/products\/amd-radeon-rx-7900-xtx-24gb","provider":"ComputaHardware","version":"1.0","type":"link"}