GEFORCE

NVIDIA GRID A100A

NVIDIA graphics card specifications and benchmark scores

32 GB
VRAM
1410
MHz Boost
400W
TDP
6144
Bus Width
🤖Tensor Cores

NVIDIA GRID A100A Specifications

⚙️

GRID A100A GPU Core

Shader units and compute resources

The NVIDIA GRID A100A GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.

Shading Units
6,912
Shaders
6,912
TMUs
432
ROPs
192
SM Count
108
⏱️

GRID A100A Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GRID A100A's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The GRID A100A by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1095 MHz
Base Clock
1,095 MHz
Boost Clock
1410 MHz
Boost Clock
1,410 MHz
Memory Clock
1215 MHz 2.4 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's GRID A100A Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID A100A's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.

Memory Size
32 GB
VRAM
32,768 MB
Memory Type
HBM2e
VRAM Type
HBM2e
Memory Bus
6144 bit
Bus Width
6144-bit
Bandwidth
1.87 TB/s
💾

GRID A100A by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the GRID A100A, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.

L1 Cache
192 KB (per SM)
L2 Cache
32 MB
📈

GRID A100A Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID A100A against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.

FP32 (Float)
19.49 TFLOPS
FP64 (Double)
9.746 TFLOPS (1:2)
FP16 (Half)
77.97 TFLOPS (4:1)
Pixel Rate
270.7 GPixel/s
Texture Rate
609.1 GTexel/s

GRID A100A Ray Tracing & AI

Hardware acceleration features

The NVIDIA GRID A100A includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the GRID A100A capable of delivering both stunning graphics and smooth frame rates in modern titles.

Tensor Cores
432
🏗️

Ampere Architecture & Process

Manufacturing and design details

The NVIDIA GRID A100A is built on NVIDIA's Ampere architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the GRID A100A will perform in GPU benchmarks compared to previous generations.

Architecture
Ampere
GPU Name
GA100
Process Node
7 nm
Foundry
TSMC
Transistors
54,200 million
Die Size
826 mm²
Density
65.6M / mm²
🔌

NVIDIA's GRID A100A Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GRID A100A determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the GRID A100A to maintain boost clocks without throttling.

TDP
400 W
TDP
400W
Power Connectors
None
Suggested PSU
800 W
📐

GRID A100A by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GRID A100A are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.

Slot Width
IGP
Bus Interface
PCIe 4.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
🎮

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GRID A100A. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.

OpenCL
3.0
CUDA
8.0
📦

GRID A100A Product Information

Release and pricing details

The NVIDIA GRID A100A is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the GRID A100A by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
May 2020
Production
End-of-life

GRID A100A Benchmark Scores

📊

No benchmark data available for this GPU.

About NVIDIA GRID A100A

The NVIDIA GRID A100A is a powerhouse for professionals tackling AI, rendering, or virtualized workstations, but its value hinges on workload specifics. With 32 GB of HBM2e VRAM and PCIe 4.0 support, it excels in memory-intensive tasks where data throughput matters more than raw CUDA core counts. While its 400W TDP and premium price tag might scare off budget-conscious buyers, the Ampere architecture ensures efficient ray tracing and tensor operations for developers and designers. If you’re running heavy simulations or 4K/8K workflows, the A100A’s headroom justifies the cost, but for lighter projects, the gap between it and mid-tier GPUs like the RTX 6000 Ada might feel steeper. Its 7nm process also ensures better thermal efficiency than older cards, which is a win in crowded workstation setups. Still, the price-to-performance ratio is best evaluated against your project’s scalability needs don’t buy it just for gaming or casual creative work. When eyeing alternatives, the NVIDIA A40 and AMD Radeon Pro W6800X offer tighter competition, though neither matches the A100A’s HBM2e bandwidth or 1410 MHz boost clock. Future-proofing the A100A is less about raw power and more about its PCIe 4.0 interface, which aligns with next-gen hardware trends and slot-compatible upgrades. Pairing it with a Ryzen 7000 or Xeon W-3300 CPU ensures balanced performance, but avoid budget PSUs its 400W draw demands a 1000W+ unit with 80+ Gold certification. For teams prioritizing longevity in virtualization or AI training, the A100A’s architecture ensures longevity beyond 2025, though its $7K+ MSRP means you’ll need to justify the ROI upfront. Ultimately, the A100A is a niche beast opt for it only if your workflow demands 32 GB of unified memory and scalability trumps power efficiency.

The AMD Equivalent of GRID A100A

Looking for a similar graphics card from AMD? The AMD Radeon RX 5300 OEM offers comparable performance and features in the AMD lineup.

AMD Radeon RX 5300 OEM

AMD • 3 GB VRAM

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