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 continuous 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 continuous operational environments. Omnixon Global supplies 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.