XFX Speedster QICK 319 Radeon RX 9070 16GB

The XFX Speedster QICK 319 Radeon RX 9070 16GB (RX-9070QICKB9) is built on AMD's RDNA 4 architecture, delivering a significant generational leap in compute density, ray-tracing throughput, and AI inference performance compared to its predecessors. The card features 16GB of GDDR6 memory on a 256-bit bus, providing the memory capacity and bandwidth profile suited to professional visualization, large dataset processing, and edge-AI inferencing tasks. RDNA 4 introduces second-generation hardware ray-tracing units and new AI accelerators per compute unit, enabling the RX 9070 to handle workloads that previously required higher-tier or data-center-class hardware.

The QICK 319 cooling solution from XFX employs a triple-fan open-air thermal design with a substantial heatsink and multiple heat pipes, targeting sustained performance under continuous enterprise workloads rather than peak-and-throttle behavior. The board is a full-length, dual-slot-plus card with a standard PCIe 5.0 x16 interface, ensuring compatibility with current-generation server and workstation platforms from leading brands. Power delivery is handled via dual 8-pin PCIe connectors, keeping it within the power envelope of most enterprise-grade workstation chassis without requiring proprietary cabling.

For enterprise IT departments, the RX 9070 16GB occupies a practical position between entry-level professional graphics and the uppermost discrete GPU tier. Its 16GB framebuffer accommodates medium-to-large AI model inference, multi-display professional visualization, and real-time 3D rendering without the premium footprint of flagship cards. AMD's ROCm open software ecosystem support for RDNA 4 extends the card's utility to HPC-adjacent workloads, containerized AI pipelines, and compute tasks running on Linux-based workstation or edge-server deployments.

Ideal for

• Edge AI inference serving for computer vision and natural language processing models requiring up to 16GB VRAM within a power-constrained workstation or edge-server node
• Professional 3D visualization and real-time rendering for CAD, BIM, and digital twin applications demanding high memory capacity and hardware-accelerated ray tracing
• Multi-display financial analytics workstations requiring stable, sustained GPU compute alongside up to four simultaneous display outputs
• ROCm-based machine learning model development and fine-tuning on Linux workstations where an open GPU compute stack is a procurement requirement
• Video transcoding and media processing pipelines leveraging AMD's hardware AV1 and H.265 encode/decode engines for broadcast or surveillance workloads
• Virtualized or containerized GPU-accelerated workloads on bare-metal workstations where a discrete, high-VRAM GPU is preferred over shared cloud GPU resources

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.