NVIDIA RTX A5500 Graphics Card 24GB GDDR6

The RTX A5500 is a professional graphics card by NVIDIA, launched on March 22nd, 2022. Built on the 8 nm process, and based on the GA102 graphics processor, the card supports DirectX 12 Ultimate. The GA102 graphics processor is a large chip with a die area of 628 mm² and 28,300 million transistors. Unlike the fully unlocked GeForce RTX 3090 Ti, which uses the same GPU but has all 10752 shaders enabled, NVIDIA has disabled some shading units on the RTX A5500 to reach the product’s target shader count. It features 10240 shading units, 320 texture mapping units, and 96 ROPs. Also included are 320 tensor cores which help improve the speed of machine learning applications. The card also has 80 raytracing acceleration cores. NVIDIA has paired 24 GB GDDR6 memory with the RTX A5500, which are connected using a 384-bit memory interface. The GPU is operating at a frequency of 1080 MHz, which can be boosted up to 1665 MHz, memory is running at 2000 MHz (16 Gbps effective).

Being a dual-slot card, the NVIDIA RTX A5500 draws power from 1x 8-pin power connector, with power draw rated at 230 W maximum. Display outputs include: 4x DisplayPort 1.4a. RTX A5500 is connected to the rest of the system using a PCI-Express 4.0 x16 interface. The card measures 267 mm in length, 112 mm in width, and features a dual-slot cooling solution.

Key Features:

1. Ampere Architecture

• CUDA Cores
  • The A5500 hosts a significant number of CUDA Cores (over 10,000 in many configurations), enabling advanced parallel processing for computations, rendering, and data processing.
• Second-Generation RT Cores
  • Delivers up to 2× the ray tracing throughput of previous architectures, enabling real-time ray tracing for photorealistic lighting, shadows, and reflections in professional graphics or design workflows.
• Third-Generation Tensor Cores
  • Facilitates AI-driven tasks (FP16, BF16, TF32, and INT8) for rapid machine learning training and inference, accelerating tasks such as denoising, super-resolution, and AI-based design optimizations.

2. 24GB GDDR6 Memory (ECC)

• High-Capacity VRAM
  • 24GB of GDDR6 ECC memory ensures that large datasets, 8K media, massive 3D scenes, or AI models can be processed efficiently without out-of-memory slowdowns.
• Error Correction Code (ECC)
  • Helps maintain data integrity in mission-critical workflows and extended compute sessions, a vital feature for enterprise and scientific computations.

3. AI and Data Science Optimization

• Mixed-Precision Computing
  • Tensor Cores support FP16, BF16, INT8, and TF32 operations for higher throughput in AI model training and inferencing with minimal precision trade-offs.
• NVIDIA AI Software Stack
  • The A5500 seamlessly integrates with CUDA-X AI libraries, Deep Learning frameworks (TensorFlow, PyTorch), and HPC containers (NGC), simplifying development, deployment, and scaling of ML workflows.

4. Professional Visualization and Rendering

• Advanced Ray Tracing
  • Second-gen RT Cores accelerate real-time path tracing, beneficial for CAD, architecture, product design, and animation/VFX rendering, reducing iteration times significantly.
• VR and AR
  • Delivers fluid, high-fidelity experiences in virtual/augmented reality environments, essential for design reviews, training simulations, or location-based entertainment.

5. High-Performance Computing (HPC)

• FP64 Performance
  • Provides robust double-precision (FP64) capability needed by certain scientific and engineering HPC tasks, such as computational fluid dynamics or structural analysis.
• Scalability
  • Through multi-GPU configurations and potential NVLink bridging (if supported in certain SKUs), HPC environments can further enhance compute and memory resources.

6. Data Center & Enterprise Ready

• 24/7 Reliability
  • Engineered for continuous operation, with enterprise-grade driver support and security patches to ensure stable performance for critical deployments.
• PCIe Gen 4.0
  • Leverages high-bandwidth communication with the CPU and other system components, minimizing bottlenecks in HPC or AI dataflows.

7. Efficient Cooling & Power

• Robust Thermal Solutions
  • Typically includes blower-style coolers or customized solutions for consistent performance under heavy, sustained loads.
• Moderate TDP
  • Operating in the range of ~230–250W (varies by SKU), balancing performance with manageability in workstation or data center contexts.

Applications:

1. Professional Design & Visualization

1. • CAD/CAM: Real-time rendering of complex 3D models, faster iterative design changes, and photorealistic product visualization for manufacturing or architecture.
   • Media & Entertainment: Accelerates VFX workflows, high-resolution editing, color grading, and GPU-based final rendering for film/TV.

2. AI & Deep Learning

1. • Training & Inference: Tensor Cores accelerate backpropagation, matrix operations, and real-time inferencing for image recognition, NLP, or recommendation systems.
   • Data Analytics: GPU-accelerated data frameworks process large datasets interactively, enabling real-time or near-real-time analysis and insights.

3. High-Performance Computing (HPC)

1. • Scientific Simulations: HPC tasks in climate research, molecular modeling, astrophysics, or fluid dynamics benefit from the CUDA core parallelization and FP64 throughput.
   • Research Labs: Universities, government agencies, and private R&D harness the A5500 for advanced simulation and modeling, reducing iteration times.

4. Virtual Reality & Remote Workflows

1. • Immersive VR: Renders high-fidelity VR experiences for design prototyping, training, or advanced simulation with minimal latency and maximum detail.
   • VDI & Multi-User: Supports GPU-accelerated remote desktop sessions or containerized applications, beneficial in enterprise or multi-tenant cloud setups.

5. Edge & Cloud

1. • Hybrid AI Deployments: The card can run in edge servers or cloud environments, bridging local HPC/AI tasks or real-time inference with large data sets.
   • Containerization: Integration with Docker or NGC containers for streamlined environment management, enabling agile scaling and deployment.

Why Choose the NVIDIA RTX A5500 24GB GDDR6?

1. Robust Performance Across Workflows

1. • Excels in HPC, AI, professional rendering, and multi-display workloads, delivering near-flagship Ampere capabilities in a balanced power envelope.

2. Large 24GB Memory for Complex Projects

1. • Accommodates massive datasets, multi-4K editing, or large neural networks in a single GPU, minimizing memory constraints.

3. Advanced Ray Tracing & AI Features

1. • Second-gen RT Cores and third-gen Tensor Cores yield near-real-time photorealistic rendering and high-throughput AI performance, future-proofing your investment.

4. Enterprise Reliability & Ecosystem

1. • Tested, stable driver releases, ECC memory, and integration with NVIDIA HPC/AI frameworks ensure data integrity and minimal downtime for mission-critical deployments.

5. Energy-Efficient Ampere Architecture

1. • Achieves significant performance-per-watt improvements over previous generations, reducing operational costs in extended use scenarios.