NVIDIA GeForce RTX 4070 Ti SUPER Founders Edition 16GB GDDR6X

Brand: NVIDIA | Category: GPUs

SKU: 900-1G138-2530-000 | Part #: 900-1G138-2530-000 | MPN: 900-1G138-2530-000

Contact for Pricing — Request a Quote

```html

The NVIDIA GeForce RTX 4070 Ti SUPER Founders Edition (Part No. 900-1G138-2530-000) is a professional-grade graphics accelerator designed for data centre, AI, and enterprise compute environments requiring high-performance GPU acceleration without full enterprise-class power overhead. Built on the Ada Lovelace architecture with 8,448 CUDA cores and 16GB of GDDR6X memory, this card delivers 672 GB/s memory bandwidth and operates at up to 2,610 MHz boost clock, making it well-suited for machine learning inference at scale, real-time video encoding workflows, 3D rendering farms, and compute-intensive simulation tasks. The 285W TDP and PCIe 4.0 x16 interface ensure compatibility with standard server and workstation platforms across GCC and Asia-Pacific data centres, while the Founders Edition reference design provides thermal stability and consistency across multi-GPU deployments.

Key Features

• 8,448 CUDA cores: Enables parallel processing of compute workloads with substantial throughput for AI inference, batch processing, and scientific computing at sub-enterprise cost.
• 16GB GDDR6X memory with 256-bit bus: Delivers 672 GB/s memory bandwidth, allowing efficient handling of large model weights, high-resolution datasets, and real-time video streams without frequent host transfers.
• 264 Tensor cores (AI accelerators): Hardware-accelerated matrix operations optimize deep learning frameworks including PyTorch, TensorFlow, and CUDA compute stacks for both training and inference workloads.
• 66 RT cores (ray accelerators): Dedicated ray-tracing units reduce render times for 3D visualisation, design simulation, and photorealistic content creation by 2–4× versus software rasterization.
• PCIe 4.0 x16 connectivity: Full-bandwidth PCIe Gen 4 support ensures compatibility with modern server platforms and eliminates bottlenecks in multi-GPU or NVMe-attached compute clusters.
• 285W TDP with passive Founders Edition cooling: Dual-slot, reference-design thermal solution fits standard 2U/4U server chassis with predictable thermal behaviour and minimal auxiliary power distribution complexity.
• Three DisplayPort 1.4a + HDMI 2.1a outputs: Supports multi-display monitoring and display-connected workloads without requiring additional video bridge hardware.
• Ada Lovelace instruction set: Full compatibility with NVIDIA CUDA Compute Capability 8.9, enabling use of latest compiler optimisations and software-library features across HPC and AI frameworks.

Typical Use Cases

• AI inference serving: Deploying large language models, vision transformers, and recommendation engines at batch scale in containerised cloud environments or on-premises inference clusters.
• Machine learning model development: Training and fine-tuning transformer models, computer vision networks, and reinforcement learning agents where 16GB VRAM reduces data staging overhead.
• Real-time video transcoding: Hardware-accelerated H.265/VP9/AV1 encoding for streaming platforms, broadcast, and content delivery networks requiring sub-second latency and high throughput.
• 3D rendering and digital content creation: Accelerating ray-traced rendering for architectural visualisation, product design, and VFX pipelines in professional software (Blender, Maya, 3dsMax, Cinema 4D).
• Scientific and engineering simulation: Physics modelling, fluid dynamics, climate forecasting, and materials science applications that benefit from CUDA-native compute and dual-precision support.
• Hyperscale AI labs and research institutions: Multi-GPU training clusters for academic deep learning research, computer vision benchmarks, and NLP workload evaluation across distributed systems.

The RTX 4070 Ti SUPER strikes a practical balance between performance density and thermal simplicity, offering near-RTX 4080 capability at a lower power draw and cost of ownership—ideal for organisations scaling AI and compute workloads in GCC and Asian data centres. Omnixon Global maintains stock and can source this SKU and compatible cooling/mounting accessories for immediate deployment. Contact our team to discuss GPU cluster sizing, multi-unit pricing, and integration support for your environment.

```