MSI GeForce RTX 4060 Ti GAMING X 8GB GDDR6

Brand: MSI | Category: GPUs

SKU: RTX-4060-TI-GAMING-X-8G | Part #: RTX-4060-TI-GAMING-X-8G | MPN: RTX-4060-TI-GAMING-X-8G

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The MSI GeForce RTX 4060 Ti GAMING X 8GB (part number RTX-4060-TI-GAMING-X-8G) is a compact, power-efficient discrete GPU designed for AI inference, professional visualisation, and general-purpose compute in space-constrained environments. Built on NVIDIA's Ada Lovelace architecture with the AD106 chip, this card delivers 4,352 CUDA cores, 136 Tensor cores, and 34 RT cores in a form factor that fits standard 1U and 2U server chassis without requiring additional power infrastructure. With 8GB of GDDR6 memory on a 128-bit bus and a 160W TDP, the RTX 4060 Ti is ideal for enterprises deploying inference pipelines, real-time analytics, and machine learning workloads in data centres across the GCC and Asia-Pacific regions where thermal and electrical headroom are constrained. Its PCIe 4.0 x16 interface ensures low-latency communication with host systems, while the factory-tuned 2,535 MHz boost clock delivers consistent performance without thermal throttling in typical rack environments.

Key Features

• GPU Architecture: Ada Lovelace (AD106) with 4,352 CUDA cores for parallel compute and 136 Tensor cores optimised for matrix operations in AI and machine learning frameworks
• Memory Subsystem: 8GB GDDR6 memory with 128-bit bus width, delivering sufficient bandwidth for inference and moderate-scale training workloads
• Clock Speed: 2,535 MHz nominal boost frequency, enabling sustained performance in 24/7 data-centre environments without frequency scaling
• Ray Tracing & Encoding: 34 RT cores for real-time ray-traced visualisation and dedicated hardware video encoding via NVENC, supporting H.264 and H.265 codecs
• Power Efficiency: 160W TDP allows deployment in standard PSUs and legacy infrastructure without power distribution unit upgrades
• Connectivity: PCIe 4.0 x16 interface with 3× DisplayPort 1.4a and 1× HDMI 2.1a outputs for multi-monitor or headless server configurations
• Thermal Design: MSI TORX 4.0 dual-fan cooling with optimised heatsink geometry for quiet operation in noise-sensitive colocation facilities
• Compatibility: Supports NVIDIA CUDA, cuDNN, TensorRT, and all mainstream frameworks (PyTorch, TensorFlow, ONNX Runtime) for production deployment

Typical Use Cases

• AI Model Inference at Edge Data Centres: Deploying pre-trained large language models, computer vision classifiers, and recommendation engines with sub-100ms latency in distributed cloud and on-premises clusters across GCC and Asia
• Real-Time Video Analytics: Processing multiple video streams for object detection, anomaly detection, and metadata extraction in surveillance, retail, and smart-building deployments without requiring high-end server SKUs
• Professional Visualisation Rendering: Accelerating ray-tracing and AI-denoising workloads in CAD, 3D design, and digital content creation workflows, particularly in compact workstations or virtualised render farms
• Batch Processing and ETL: Running data transformation pipelines and analytics queries on structured and unstructured data, leveraging CUDA libraries for 5–10× speedups over CPU-only systems
• Virtual Desktop Infrastructure (VDI): Providing GPU acceleration to remote desktop sessions in multi-user environments, enabling smooth graphics performance for knowledge workers without overprovisioning hardware
• Scientific Computing and Simulation: Accelerating finite-element analysis, climate modelling, and molecular dynamics simulations in research institutions and engineering consultancies with constrained power budgets

The MSI RTX 4060 Ti GAMING X stands out for its combination of efficient power delivery, compact footprint, and manufacturing quality—MSI's TORX cooling and Japanese capacitor selection ensure reliability in 24/7 operational environments. Omnixon Global stocks this SKU and can source additional units for enterprise deployments across the UAE, GCC, and Asia-Pacific. Contact our team to request a formal quote, discuss integration into your existing infrastructure, or arrange technical validation in a test environment.

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