NVIDIA RTX 4000 Ada Generation 20GB GDDR6

The NVIDIA RTX 4000 Ada Generation is a professional-grade GPU built on NVIDIA's Ada Lovelace architecture, featuring 6,144 CUDA cores, 192 fourth-generation Tensor Cores, and 48 third-generation RT Cores. With 20GB of GDDR6 memory across a 160-bit memory interface, the card delivers 275.8 GB/s of memory bandwidth and up to 26.7 TFLOPS of single-precision performance. The Ada Lovelace architecture introduces DLSS 3, AV1 hardware encode/decode, and improved ray tracing throughput, positioning this card at the upper tier of the workstation GPU segment.

Designed for mid-to-high-end professional workloads, the RTX 4000 Ada occupies a full-height, single-slot form factor powered by a standard 160W TDP, making it suitable for space-constrained workstation and rack environments. It supports PCIe 4.0 x16 connectivity and includes four DisplayPort 1.4a outputs, enabling multi-display professional visualization setups at resolutions up to 4K and beyond. NVIDIA NVLink is not supported on this model, though the card is compatible with NVIDIA RTX Desktop Manager and enterprise driver stacks including NVIDIA RTX Enterprise drivers.

The RTX 4000 Ada Generation addresses enterprise segments spanning AI inferencing, simulation, scientific visualization, and media production. Its Tensor Core generation delivers up to 512 TOPS of AI performance (INT8), accelerating AI-assisted workflows in design, engineering, and content creation pipelines. The card's combination of memory capacity, compute density, and thermal efficiency makes it a practical choice for organizations standardizing professional GPU infrastructure across UAE, GCC, EMEA, and APAC markets.

Ideal for

• AI-assisted engineering design and simulation using tools such as NVIDIA Omniverse and CUDA-accelerated solvers
• Professional 3D visualization, CAD, and BIM rendering for architecture, engineering, and construction workflows
• Media and entertainment production including real-time ray-traced rendering, video encoding with AV1 hardware acceleration, and VFX compositing
• Scientific computing and data analytics workloads leveraging CUDA and Tensor Core acceleration in on-premises workstation environments
• Multi-display professional visualization for financial analytics, command-and-control, and digital twin monitoring
• Edge AI inferencing deployments where a single-slot, low-profile-compatible power envelope is required alongside substantial GPU compute

Technical specifications

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