{"product_id":"pny-nvidia-rtx-pro-5500-blackwell-84gb","title":"PNY NVIDIA RTX PRO 5500 Blackwell 84GB","description":"\u003ch3\u003ePNY NVIDIA RTX PRO 5500 Blackwell: 84 GB of GPU memory for serious AI and 3D workloads\u003c\/h3\u003e\n\u003cp\u003eThe RTX PRO 5500 Blackwell Workstation Edition from PNY is a professional graphics card for anyone who wants to run large AI models, simulations or heavy 3D projects locally. The card combines the NVIDIA Blackwell architecture with \u003cb\u003e21,760 CUDA cores\u003c\/b\u003e and \u003cb\u003e84 GB of GDDR7 memory with ECC\u003c\/b\u003e. It is precisely this amount of local memory that determines how large and complex the tasks you can run on a single GPU can be.\u003c\/p\u003e\n\u003ch3\u003eWhat do you use the RTX PRO 5500 for?\u003c\/h3\u003e\n\u003cp\u003eThis card is intended for professional workstations that need both computing power and plenty of GPU memory:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAI and machine learning:\u003c\/b\u003e running larger language models locally, inference, generative AI and computer vision.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e3D, VFX and visualisation:\u003c\/b\u003e large scenes, ray-traced rendering, animation and virtual production.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCAD, CAE and simulation:\u003c\/b\u003e technical design, product development, digital twins and analysis of large datasets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVideo production:\u003c\/b\u003e high-resolution workflows with hardware encoding and decoding.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhy 84 GB of memory makes the difference\u003c\/h3\u003e\n\u003cp\u003eWith this much memory, you do not have to split a model, dataset or scene across multiple GPUs just because the memory is full. The ECC memory corrects memory errors, which is welcome for calculations that run for hours or days. Need less memory or computing power? Then a lighter RTX PRO card is often a more economical choice.\u003c\/p\u003e\n\u003ch3\u003eAI, graphics and video on one card\u003c\/h3\u003e\n\u003cp\u003eThe fifth-generation Tensor Cores support FP4 precision for suitable AI workloads. Fourth-generation RT Cores accelerate ray tracing and heavy 3D visualisation. For video, the card has three NVENC encoders (9th generation) and three NVDEC decoders (6th generation), including H.264 and HEVC in 4:2:2.\u003c\/p\u003e\n\u003ch3\u003eMulti-Instance GPU (MIG)\u003c\/h3\u003e\n\u003cp\u003eWith NVIDIA MIG, you can use the card as a single GPU with 84 GB of memory or split it into two isolated instances of up to 42 GB each. This allows multiple users or tasks to share the card, for example in a rack workstation.\u003c\/p\u003e\n\u003ch3\u003eCheck your system before you order\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eSpace and cooling:\u003c\/b\u003e approx. 281.9 × 111.8 mm, full-height full-length, occupies two slots and needs good airflow (active air cooling).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePower supply:\u003c\/b\u003e the card draws up to 600 W and uses a single 16-pin PCIe CEM5 connector. Make sure your power supply can handle the total system power draw.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePCIe slot:\u003c\/b\u003e PCI Express 5.0 x16; PNY recommends a PCIe 5.0 x16 slot.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSystem memory:\u003c\/b\u003e at least 84 GB of system RAM, 168 GB recommended.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eTechnical specifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003ePart number: VCNRTXPRO5500-SB\u003c\/li\u003e\n\u003cli\u003eArchitecture: NVIDIA Blackwell\u003c\/li\u003e\n\u003cli\u003eCUDA cores: 21,760\u003c\/li\u003e\n\u003cli\u003eTensor \/ RT Cores: 5th \/ 4th generation\u003c\/li\u003e\n\u003cli\u003eMemory: 84 GB GDDR7 with ECC\u003c\/li\u003e\n\u003cli\u003eMemory interface \/ bandwidth: 416-bit \/ 1,398 GB\/s\u003c\/li\u003e\n\u003cli\u003eMIG: 1 × 84 GB or 2 × 42 GB\u003c\/li\u003e\n\u003cli\u003eInterface: PCI Express 5.0 x16\u003c\/li\u003e\n\u003cli\u003eVideo: 3 × NVENC (9th gen.), 3 × NVDEC (6th gen.)\u003c\/li\u003e\n\u003cli\u003eDisplay outputs: 4 × DisplayPort 2.1b\u003c\/li\u003e\n\u003cli\u003eNVIDIA RTX PRO Sync: compatible\u003c\/li\u003e\n\u003cli\u003eMaximum power consumption: 600 W\u003c\/li\u003e\n\u003cli\u003ePower connector: 1 × PCIe CEM5 16-pin\u003c\/li\u003e\n\u003cli\u003eCooling: active air cooling\u003c\/li\u003e\n\u003cli\u003eSize: approx. 281.9 × 111.8 mm, FHFL, dual-slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePlease note: this is the air-cooled version. The liquid-cooled RXM version mentioned by NVIDIA is a different product.\u003c\/p\u003e\n\u003cp\u003eWant to run large AI models or heavy 3D projects locally? Then the RTX PRO 5500 is a big step forward.\u003c\/p\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":55585483096391,"sku":"VCNRTXPRO5500-SB","price":17056.34,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0861\/0640\/7239\/files\/pny-nvidia-rtx-pro-5500-blackwell-84gb-1.webp?v=1793092135","url":"https:\/\/cryptoken.nl\/en\/products\/pny-nvidia-rtx-pro-5500-blackwell-84gb","provider":"Cryptoken","version":"1.0","type":"link"}