top of page
server-parts.eu

server-parts.eu Blog

NVIDIA RTX A6000 GPU vs. NVIDIA A100 GPU: Comparison and Main Differences

  • Writer: server-parts.eu server-parts.eu
    server-parts.eu server-parts.eu
  • Nov 4, 2024
  • 3 min read

Updated: Nov 10

The NVIDIA RTX A6000 and NVIDIA A100 are both Ampere-based GPUs built for heavy workloads but aimed at different environments.


NVIDIA RTX A6000 & A100 GPUs: Save Up To 80%

✔️ 5-Year Warranty – No Risk: Pay Only After Testing


The NVIDIA RTX A6000 targets workstation users who need strong graphics and visualization power. The NVIDIA A100 is designed for data centers running AI, HPC, and deep learning tasks.


NVIDIA RTX A6000 vs A100 GPU comparison chart showing key differences for AI, HPC, and workstation workloads — refurbished and used GPUs available at server-parts.eu.


NVIDIA RTX A6000 GPU vs. A100: Quick Comparison

Feature

NVIDIA RTX A6000

NVIDIA A100 (40GB PCIe)

NVIDIA A100 (80GB PCIe)

NVIDIA A100 (80GB SXM4)

Architecture

Ampere GA102

Ampere GA100

Ampere GA100

Ampere GA100

CUDA Cores

10,752

6,912

6,912

6,912

Tensor Cores

336

432

432

432

RT Cores

84

Memory

48 GB GDDR6 ECC

40 GB HBM2e

80 GB HBM2e

80 GB HBM2e

NVLink

Yes (2-way bridge)

No

No

Yes (multi-GPU NVSwitch)

Power

300W

250W

300W

400W

Cooling

Active (fan)

Passive

Passive

SXM4 module

Form Factor

PCIe

PCIe

PCIe

SXM4

ECC

Yes

Yes

Yes

Yes

MIG Support

No

Yes

Yes

Yes

FP64 Performance

1/64 rate

9.7 TFLOPS

9.7 TFLOPS

9.7 TFLOPS

FP32 Performance

~39.7 TFLOPS

~19.5 TFLOPS

~19.5 TFLOPS

~19.5 TFLOPS



NVIDIA RTX A6000 GPU vs. A100: Architecture and Purpose


Both GPUs use NVIDIA’s Ampere architecture but differ at the silicon level.


  • NVIDIA RTX A6000 (GA102) is a graphics-focused chip for creative and engineering workloads.

  • NVIDIA A100 (GA100) is a compute chip built for AI, data centers, and scientific workloads.


The NVIDIA RTX A6000 performs best with 3D rendering, visualization, and workstation-based AI inference. The NVIDIA A100 dominates where large datasets and distributed compute power are needed.



NVIDIA RTX A6000 GPU vs. A100: Compute Power and Precision


Performance differences become clear in compute workloads:


  • NVIDIA RXT A6000: strong in FP32 graphics and single-precision tasks.

  • NVIDIA A100: built for mixed-precision AI with high Tensor throughput.


The NVIDIA A100 supports FP64 at full rate, crucial for HPC and simulations. The NVIDIA RTX A6000’s FP64 runs at only 1/64 of FP32 speed, so it is not suitable for double-precision scientific computing.



NVIDIA RTX A6000 GPU vs. A100: Memory and Bandwidth


  • NVIDIA RXT A6000: 48 GB GDDR6 ECC memory at 768 GB/s bandwidth.

  • NVIDIA A100: 40 or 80 GB HBM2e memory with up to 2,039 GB/s bandwidth.


The NVIDIA A100’s HBM2e memory is faster and designed for continuous data flow in large AI or HPC jobs. The NVIDIA RTX A6000’s GDDR6 memory is optimized for high-speed visualization and rendering.



NVIDIA RTX A6000 GPU vs. A100: NVLink and Multi-GPU Scaling


The NVIDIA RTX A6000 allows a two-way NVLink bridge between cards. This improves memory sharing for visualization but is limited to small-scale setups.

The NVIDIA A100 SXM4 connects through NVSwitch, enabling multiple GPUs to share memory efficiently in HPC clusters or AI training nodes.



NVIDIA RTX A6000 GPU vs. A100: Reliability and Virtualization


The NVIDIA A100 is validated for 24/7 data center workloads, supporting MIG (Multi-Instance GPU) technology. MIG allows one GPU to be split into up to seven isolated GPU instances. This is ideal for shared environments and cloud deployments.

The NVIDIA RTX A6000 also supports NVIDIA’s vGPU software for workstation virtualization but without MIG.



NVIDIA RTX A6000 GPU vs. A100: Power and Cooling


  • NVIDIA RTX A6000: actively cooled, ready for tower or rack-mounted workstations.

  • NVIDIA A100 PCIe: passively cooled, needs strong server airflow.

  • NVIDIA A100 SXM4: mounted on HGX boards with direct connection to NVSwitch fabric.


These differences define where each card can operate.



NVIDIA RTX A6000 GPU vs. A100: Software and Compatibility


  • Compute Capability: NVIDIA A100 = 8.0, NVIDIA RTX A6000 = 8.6.

  • Frameworks: both support CUDA, cuDNN, TensorRT, and PyTorch/TensorFlow, but NVIDIA A100 benefits more from multi-GPU scaling with NCCL and NVLink.



NVIDIA RTX A6000 GPU vs. A100 Price


Approximate current pricing:


  • NVIDIA RTX A6000: €3,000–€5,000

  • NVIDIA A100 40GB PCIe: €8,000–€10,000

  • NVIDIA A100 80GB PCIe: €10,000–€12,000

  • NVIDIA A100 80GB SXM4: €16,000–€18,000



Choosing Between NVIDIA RTX A6000 and A100

Focus

Choose RTX A6000

Choose A100

Rendering / Visualization

✔️


3D Design / CAD

✔️


AI Inference (Workstation)

✔️


AI Training / Deep Learning


✔️

HPC / Scientific Compute


✔️

Multi-GPU Cluster

Limited

✔️ (SXM4)

Virtualized Data Center


✔️ (MIG)



NVIDIA RTX A6000 & A100 GPUs: Save Up To 80%

✔️ 5-Year Warranty – No Risk: Pay Only After Testing



NVIDIA RTX A6000 GPU vs. A100: Sources


bottom of page