{"product_id":"intel-arc-pro-b50-16gb","title":"Intel Arc Pro B50 (16GB)","description":"\u003cp\u003eThe Intel Arc Pro B50 is a compact, low-profile workstation GPU built on Intel’s Xe2 “Battlemage” architecture. It packs 16GB of memory and dedicated AI acceleration into a 70W design that needs no external power connector. That makes it a low-risk upgrade for small-form-factor workstations, entry-level AI inference boxes and multi-display CAD or design setups where space and power budget are tight.\u003c\/p\u003e\n\u003ch2\u003eWho it's for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSmall-form-factor workstations that cannot fit or power a larger professional card\u003c\/li\u003e\n\u003cli\u003eLightweight local inference with smaller open-weight LLMs, image classification models and vision pipelines at the edge\u003c\/li\u003e\n\u003cli\u003eCAD, 2D\/3D design, video editing and light content creation across multiple displays\u003c\/li\u003e\n\u003cli\u003eIT teams refreshing rows of compact workstations without auditing power supplies one system at a time\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eKey features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Xe2 “Battlemage” architecture:\u003c\/strong\u003e built on TSMC’s N5 process, Intel’s second-generation discrete GPU architecture with dedicated ray tracing and matrix (XMX) engines for AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16GB GDDR6:\u003c\/strong\u003e more memory than many competing entry workstation cards at this price and power point, useful headroom for CAD models, multi-layer design work and small-to-mid AI models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16 Xe2 cores, 128 XMX engines:\u003c\/strong\u003e dedicated matrix hardware alongside 16 ray tracing units, delivering up to 170 TOPS of INT8 performance for AI inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10.65 TFLOPS FP32 compute:\u003c\/strong\u003e solid general-purpose shader performance for CAD, design and light rendering work.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJust 70W total board power:\u003c\/strong\u003e no external power connector is needed on most builds, as the card draws power entirely from the PCIe slot, so virtually any modern PSU can run one.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow-profile, dual-slot, single-fan design:\u003c\/strong\u003e fits compact and small-form-factor workstations where larger workstation cards will not physically fit.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe 5.0 x8 interface:\u003c\/strong\u003e a modern interface standard at a fraction of the power draw of higher-end workstation cards.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e224GB\/s memory bandwidth:\u003c\/strong\u003e solid throughput for a card in this power and price class.\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\u003eIntel Xe2 “Battlemage,” TSMC N5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXe2 cores\u003c\/td\u003e\n\u003ctd\u003e16 (128 XMX engines, 16 ray tracing units)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e16GB GDDR6, 128-bit bus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e224GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute performance\u003c\/td\u003e\n\u003ctd\u003e10.65 TFLOPS FP32 \/ up to 170 TOPS INT8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClocks\u003c\/td\u003e\n\u003ctd\u003e1,700MHz base \/ 2,600MHz boost\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal board power\u003c\/td\u003e\n\u003ctd\u003e70W (no external power connector)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003ePCIe 5.0 x8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm factor\u003c\/td\u003e\n\u003ctd\u003eLow-profile, dual-slot, single-fan\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\u003eThis is an entry-level professional card, not a high-end rendering or AI training GPU, and it is not built for heavy fine-tuning.\u003c\/li\u003e\n\u003cli\u003eIntel’s software ecosystem (drivers, ISV certifications, oneAPI tooling) is younger than NVIDIA’s or AMD’s, though it has matured quickly and Intel certifies against major professional applications.\u003c\/li\u003e\n\u003cli\u003eBecause it draws all its power from the PCIe slot, OEM systems can specify it without redesigning power delivery, and fleet upgrades avoid cards that demand a new PSU or extra power connectors (200W-plus cards often do).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChoose the B50 when power, space and budget are the limits and your workload is CAD, design or light local inference. If you need more memory for larger models, step up to the 24GB B60.\u003c\/p\u003e","brand":"Intel","offers":[{"title":"Default Title","offer_id":58232538005886,"sku":"INTEL-ARCB50","price":299.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/gpu-arc-b50_c1d6063f-ef99-422c-b74d-1352979cd632.png?v=1792094039","url":"https:\/\/computahardware.net\/products\/intel-arc-pro-b50-16gb","provider":"ComputaHardware","version":"1.0","type":"link"}