NVIDIA A10M Graphics Card 24 GB

The A10M is a professional graphics card by NVIDIA, launched in February 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 A10M to reach the product’s target shader count. It features 7168 shading units, 224 texture mapping units, and 80 ROPs. Also included are 224 tensor cores which help improve the speed of machine learning applications. The card also has 56 raytracing acceleration cores. NVIDIA has paired 24 GB GDDR6 memory with the A10M, which are connected using a 384-bit memory interface. The GPU is operating at a frequency of 975 MHz, which can be boosted up to 1635 MHz, memory is running at 1563 MHz (12.5 Gbps effective).

Being a single-slot card, the NVIDIA A10M draws power from an 8-pin EPS power connector, with power draw rated at 150 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. A10M 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 single-slot cooling solution.

Key Features:

1. Ampere Architecture

• CUDA Cores
  • Equipped with 9,216 CUDA cores, the A10M delivers exceptional performance for parallel computing tasks, making it ideal for scientific research, AI training, and 3D rendering.
• Second-Generation RT Cores
  • Delivers real-time ray tracing with twice the throughput of previous-generation GPUs, enabling physically accurate lighting, reflections, and shadows in rendering and simulation workflows.
• Third-Generation Tensor Cores
  • Enhances AI-driven applications with support for mixed-precision computations, accelerating training and inference tasks for AI and machine learning workloads.

2. 24 GB GDDR6 Memory

• High-Capacity GDDR6
  • The massive 24 GB of GDDR6 memory ensures smooth performance when handling large datasets, complex simulations, or high-resolution rendering tasks.
• 320-bit Memory Interface
  • Provides efficient memory bandwidth for fast data access, crucial for memory-intensive professional applications.

3. Enhanced Compute Efficiency

• Multi-Instance GPU (MIG)
  • Allows multiple users or workloads to share GPU resources securely and efficiently, maximizing utilization in virtualized environments.
• Energy Efficiency
  • Designed for power efficiency, the A10M delivers superior performance per watt, reducing operational costs in data centers and workstations.

4. Enterprise-Grade Reliability

• Certified Drivers
  • Backed by NVIDIA Studio and enterprise drivers, ensuring compatibility and reliability for professional applications across industries.
• Long Lifecycle Support
  • Designed for enterprise environments, with extended lifecycle support for seamless integration into existing workflows.

5. Scalability and Connectivity

• NVLink Support
  • Scales performance across multiple GPUs with NVIDIA NVLink, enabling seamless communication and memory sharing for high-performance computing and rendering tasks.
• Virtualization Support
  • Fully compatible with NVIDIA GRID software for deploying virtual desktops and virtualized GPU workloads.

Applications:

1. Artificial Intelligence and Machine Learning

• • AI Training and Inference: Accelerates deep learning tasks with Tensor Cores, delivering exceptional performance for training models and performing inference at scale.
  • Natural Language Processing (NLP): Optimized for large language models and NLP workloads, enabling faster training and deployment of applications like chatbots and sentiment analysis.

2. High-Performance Computing (HPC)

• • Scientific Simulations: Handles computational workloads in fields like physics, chemistry, and climate modeling, where large-scale parallelism is crucial.
  • Big Data Analytics: Accelerates data processing pipelines and interactive analytics with GPU-accelerated frameworks like RAPIDS.

3. Media and Entertainment

• • Rendering and Animation: Real-time ray tracing and 24 GB of memory make it ideal for high-resolution rendering, video production, and VFX workflows.
  • Virtual Production: Supports virtual production pipelines for seamless integration of digital and physical environments.

4. Virtualization and Virtual Desktop Infrastructure (VDI)

• • VDI Workloads: Optimized for deploying virtual desktops, enabling multiple users to leverage GPU resources simultaneously.
  • Remote Work: Facilitates remote workflows for designers, engineers, and analysts with enterprise-grade virtualization support.

5. Design and Engineering

• • CAD and Simulation: Enables real-time 3D visualization and simulation for architects, engineers, and product designers using software like AutoCAD, SOLIDWORKS, and ANSYS.
  • Digital Twins: Powers large-scale digital twin simulations for industrial and IoT applications.

Why Choose the NVIDIA A10M Graphics Card 24 GB?

1. Professional-Grade Performance

1. • With 9,216 CUDA cores and 24 GB of memory, the A10M delivers exceptional performance for demanding workloads, including AI training, rendering, and complex simulations.

2. Scalability for Enterprise Applications

1. • Features like MIG and NVLink ensure the A10M can scale across multi-GPU systems, maximizing performance for large-scale projects and workloads.

3. Energy Efficiency and Cost Savings

1. • Optimized for performance-per-watt, reducing energy costs in data centers and professional environments without sacrificing power.

4. Versatile Use Cases

1. • Supports a broad range of applications, from AI development and scientific research to virtualization and creative workflows, making it a versatile choice for enterprises and professionals.

5. Enterprise Reliability and Support

1. • Backed by NVIDIA’s certified drivers and extended lifecycle support, ensuring stability, compatibility, and reliability in professional and enterprise environments.

6. Future-Proof Investment

1. • Built on NVIDIA’s Ampere architecture, the A10M supports the latest features like real-time ray tracing, AI-enhanced workflows, and virtualization technologies, ensuring long-term value.