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

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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. Contact our team to discuss GPU cluster sizing, multi-unit pricing, and integration support for your environment.