{"product_id":"p4-8g-computing-card-no-external-power-supply-ai-inference","title":"P4 8G AI Computing Card – No External Power Supply Needed","description":"\n\u003ch2\u003eP4 8G AI Computing Card – Plug-In Performance, No External Power Needed\u003c\/h2\u003e\n\u003cp\u003eUpgrade your server or workstation with the \u003cstrong\u003eP4 8G Computing Card\u003c\/strong\u003e — a powerful, low-profile inference accelerator designed for AI workloads, video transcoding, and deep learning tasks. Unlike many competing cards, this unit draws all the power it needs directly from the PCIe slot, eliminating the hassle of external power connectors and keeping your build clean and cable-free.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're deploying edge AI inference, running machine learning models, or accelerating multimedia pipelines, the P4 8G delivers impressive throughput in a compact, data-center-friendly form factor. Made in Mainland China.\u003c\/p\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e8 GB GDDR5 Memory\u003c\/strong\u003e – Ample on-board VRAM for demanding inference and compute workloads\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNo External Power Supply Required\u003c\/strong\u003e – Fully powered via PCIe slot for a clean, cable-free installation\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eLow-Profile Form Factor\u003c\/strong\u003e – Fits standard and compact server chassis with ease\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHigh Compute Throughput\u003c\/strong\u003e – Optimized for INT8 inference, enabling fast and efficient AI inferencing\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eBroad Framework Support\u003c\/strong\u003e – Compatible with TensorFlow, PyTorch, and other popular ML frameworks via standard APIs\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eEfficient Thermal Design\u003c\/strong\u003e – Engineered for sustained performance in rack-mounted and desktop environments\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eData Center Grade\u003c\/strong\u003e – Built for 24\/7 reliability in production deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003ctable style=\"width:100%; border-collapse:collapse;\"\u003e\n  \u003ctr style=\"background:#f5f5f5;\"\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e8 GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e\u003cstrong\u003ePower Source\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003ePCIe Slot (No External Power Connector)\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr style=\"background:#f5f5f5;\"\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003eLow-Profile PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e\u003cstrong\u003ePrimary Use Case\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003eAI Inference \/ Deep Learning \/ Video Transcoding\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr style=\"background:#f5f5f5;\"\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003e\u003cstrong\u003eOrigin\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding:8px; border:1px solid #ddd;\"\u003eMade in Mainland China\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch3\u003eWho Is This For?\u003c\/h3\u003e\n\u003cp\u003eThe P4 8G Computing Card is ideal for:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eAI developers and data scientists deploying inference workloads at the edge\u003c\/li\u003e\n  \u003cli\u003eIT professionals adding GPU compute to existing servers without hardware modifications\u003c\/li\u003e\n  \u003cli\u003eVideo production studios needing hardware-accelerated transcoding\u003c\/li\u003e\n  \u003cli\u003eResearchers building compact, power-efficient ML pipelines\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eRelated Products You May Like\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/1-channel-relay-module-dc-3-3v-24v-optocoupler-arduino\"\u003e1-Channel Relay Module DC 3.3V–24V Optocoupler for Arduino\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/1-channel-mini-hd-video-encoder-hdmi-to-ip-rtmp-srt-hls-rtsp-h265-h264-iptv\"\u003e1-Channel Mini HD Video Encoder HDMI to IP RTMP SRT HLS H.265\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/hdmi-av-to-rf-modulator-1-channel-pal-ntsc-secam-catv-hotel\"\u003e1-Channel HDMI \u0026amp; AV to RF Modulator – PAL\/NTSC CATV Hotel\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eFurther Reading\u003c\/h3\u003e\n\u003cp\u003eFor information on energy efficiency standards for computing hardware, visit the \u003ca href=\"https:\/\/www.energystar.gov\/products\/computers\" target=\"_blank\" rel=\"noopener\"\u003eENERGY STAR Computers Program\u003c\/a\u003e. For best practices on electronics safety and handling, refer to guidance from the U.S. Consumer Product Safety Commission (CPSC).\u003c\/p\u003e\n\n\u003ch3\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003ch4\u003eQ: Does the P4 8G Computing Card require an external power connector?\u003c\/h4\u003e\n\u003cp\u003eA: No — the P4 8G Computing Card draws all required power directly from the PCIe slot. There is no need for a 6-pin or 8-pin external power connector, making installation straightforward in most servers and workstations.\u003c\/p\u003e\n\u003ch4\u003eQ: What workloads is the P4 8G Computing Card best suited for?\u003c\/h4\u003e\n\u003cp\u003eA: The P4 8G is optimized for AI inference tasks, deep learning model deployment, and hardware-accelerated video transcoding. It supports INT8 precision inference and is compatible with popular frameworks such as TensorFlow and PyTorch.\u003c\/p\u003e\n\u003ch4\u003eQ: What form factor is this computing card?\u003c\/h4\u003e\n\u003cp\u003eA: It uses a low-profile PCIe form factor, making it compatible with both standard tower servers and compact 1U\/2U rack-mounted server chassis.\u003c\/p\u003e\n\u003ch4\u003eQ: How much video memory does the P4 8G have?\u003c\/h4\u003e\n\u003cp\u003eA: The card is equipped with 8 GB of GDDR5 memory, providing sufficient VRAM for running multiple simultaneous AI inference streams or large deep learning models.\u003c\/p\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"Does the P4 8G Computing Card require an external power connector?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"No — the P4 8G Computing Card draws all required power directly from the PCIe slot. 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