NVIDIA RTX 4000 SFF Ada Generation 20GB GDDR6 Graphics Card

193,399.00214,672.00 (-10%)

  • Product: NVIDIA RTX 4000 SFF Ada Generation Graphics Card
  • GPU Memory: 20GB GDDR6
  • CUDA Cores: 6,144
  • Memory Interface: 160-bit
  • Memory Bandwidth: 280 GB/s
  • Tensor Cores: 192, 4th Generation
  • RT Cores: 48, 3rd Generation
  • Single-Precision Performance: 19.2 TFLOPS
  • Warranty: 1 Year Assured Warranty
  • Support: 24/7 Technical Support
  • Shipping: Fast Shipping across India
  • Use Cases: AI & Deep Learning, 3D Rendering & Animation, Video Editing, Virtual Workstations, CAD & Product Design.
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Are you looking to boost your professional workstation’s performance without having a large graphics card in the system? NVIDIA RTX 4000 SFF Ada 20 GB graphics card is designed with the Ada Lovelace architecture, 20GB GDDR6 ECC memory, high CUDA cores, third-generation RT Cores, and 192 Tensor cores in a compact dual-slot design. It connects via PCIe 4.0 x16, has four Mini DisplayPort 1.4a outputs, and draws 70 watts of power, making it suitable for space-constrained professional systems that support CAD, 3D rendering, visualization, AI inference, video editing, and simulation workloads. ServerBasket provides configuration assistance, technical support, nationwide delivery, and a 1-year warranty.

Key Features of RTX 4000 SFF Ada Generation Graphics Card

NVIDIA’s Ada Lovelace Architecture

The NVIDIA RTX 4000 SFF Ada generation graphics card is built using Ada Lovelace technology and comprises 6,144 CUDA cores while also having a single-precision performance of over 19.2 TFLOPS. This enables acceleration of workloads like graphics, CAD, simulation, and higher compute, which demand significant processing power.

20GB GDDR6 ECC Memory for Heavy Models and Datasets

The NVIDIA RTX 4000 SFF 20GB comes with up to 20GB of GDDR6 ECC VRAM, with 280GB/s bandwidth and a 160-bit bus. In a nutshell, this combination provides designers and engineers with enough power to manage big models, simulations, and data.

NVIDIA’s-Ada-Lovelace-Architecture
Third-Gen-RT-and-Fourth-Gen-Tensor-Technology

Third-Gen RT and Fourth-Gen Tensor Technology

Equipped with 48 RT Cores and 192 Tensor Cores, the NVIDIA RTX 4000 SFF Ada makes ray-traced output and AI workloads more efficient. Third-generation RT Cores enable realistic visuals, while fourth-generation Tensor Cores do the heavy lifting in AI processing, including FP8-based tasks as well as hybrid processing.

Compact Design with Professional Display Outputs

The RTX 4000 SFF Ada is designed for compact workstations, measuring approximately 2.7 inches in height and 6.6 inches in length, designed for two-slot installation. 70W is the maximum power consumed, and it has four Mini DisplayPort 1.4a outputs available for superior display.

Benefits of NVIDIA RTX 4000 SFF 20GB GDDR6 GPU

CAD,-Engineering-Processes-and-3D-Product-Designing

CAD, Engineering Processes and 3D Product Designing

The RTX 4000 SFF has powerful GPU memory along with support for CUDA and RT capabilities that make the GPU appropriate for complex CAD, CAE, 3D designing, and engineering visualization. Its small size is an advantage when powerful performance is needed in small workstation machines.

Architecture,-Rendering-and-Visualizations

Architecture, Rendering and Visualizations

For architects and visualization specialists, RT Cores accelerate photorealistic rendering much faster, while 20GB of memory makes it possible to create detailed scenes. The GPU is useful in architecture analysis, product visualization, 3D rendering, virtual reality, and multi-screen systems.

Artificial-Intelligence,-Video-Editing-and-GPU-Accelerated-Tasks

Artificial Intelligence, Video Editing and GPU-Accelerated Tasks

The fourth-generation Tensor Cores enable specialized AI and inference tasks, while the special AV1 decoder makes video processing faster. Thus, the NVIDIA RTX 4000 SFF Ada GPU is ideal for working with AI inference tasks, video editing, motion graphics, scientific computing, simulations, and other GPU-demanding activities.

Why Choose ServerBasket?

Affordable-Prices-and-Workstation-Setup

Affordable Prices and Workstation Setup

ServerBasket offers low prices and workstation configuration services for the NVIDIA RTX 4000 SFF Ada 20 GB to enable clients to choose the best workstation components according to chassis size, PCIe specifications, power consumption, cooling, and workload.

Support-in-Delivery-and-Technical-Compatibility-Verification

Support in Delivery and Technical Compatibility Verification

You can also get help in selecting the right product, checking its compatibility, and transporting it to your place. Our technical support team assists with PCIe Gen4 x16 compatibility, physical limitations, and the ability of the system to accommodate the 70W active-cooled GPU.

Product-Assistance,-Warranties,-and-Support-After-Sale

Product Assistance, Warranties, and Support After Sale

ServerBasket provides guidance and support for GPU and system configurations. You also get a one-year warranty for your RTX 4000 SFF Ada 20 GB, backed by after-sales assistance and return support according to company terms and policies.

Technical Specifications

ArchitectureNVIDIA Ada Lovelace
GPU Memory20GB GDDR6
CUDA Cores6144
Tensor Cores192, Fourth Generation
RT Cores48, Third Generation
Memory Interface160-bit
Memory Bandwidth280 GB/s
Single-Precision Performance19.2 TFLOPS
RT Core Performance44.3 TFLOPS
Tensor Performance306.8 TFLOPS
System InterfacePCIe 4.0 x16
Power Consumption70W Total Board Power
Form Factor2.7" H × 6.6" L, Dual Slot
Display Connectors4 × Mini DisplayPort 1.4a
Maximum Simultaneous Displays4 × 4096 × 2160 @ 120 Hz, 4 × 5120 × 2880 @ 60 Hz, 2 × 7680 × 4320 @ 60 Hz
Encode/Decode Engines2 × Encode, 2 × Decode (+ AV1 Encode and Decode)
Graphics APIsDirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3
Compute APIsCUDA 11.6, OpenCL 3.0, DirectCompute
NVIDIA NVLinkNo
Error-Correcting Code (ECC)Yes
vGPU Software SupportNo
VR ReadyYes
Thermal SolutionActive

Additional information

Brand

NVIDIA

Memory Interface

160-bit

CUDA Cores

6144

Tensor Cores

192

RT Cores

48

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