Using neural networks to identify patterns and structures within existing data, generative AI applications enable users to generate new and original content from a wide variety of inputs and outputs, including images, sounds, animation, and 3D models. Leverage NVIDIA’s generative AI solution—NeMo™ Framework, included in NVIDIA AI Enterprise—along with the A800 40GB Active GPU for easy, fast, and customizable generative AI model development.
The Supercomputing Platform for Workstations
The NVIDIA® A800 40GB Active GPU, powered by the NVIDIA Ampere architecture, is the ultimate workstation development platform, delivering powerful performance to accelerate next-generation data science, AI, HPC, and engineering simulation/CAE workloads. It comes with a five-year NVIDIA Enterprise subscription, which includes NVIDIA AI Enterprise to help users tackle demanding AI, data science, and analytics workflows on workstations.
Highlights
Industry Leading Performance
Double-Precision (FP64) Performance
9.7 TFLOPS¹
Tensor Performance
1,247 AI TOPS²
Memory Bandwidth
1.5 TB/s
1 Peak rates based on GPU Boost Clock. 2 Theoretical INT8 TOPS using sparsity.
Features
Powered by the NVIDIA Ampere Architecture
Workloads
Supercharge AI and HPC Workflows Across Industries
Generative AI
Engineering Simulation/CAE
Data Science and Data Analytics
AI Training and Inference
AI Platform
Production-Ready AI With NVIDIA AI Enterprise
Performance
Tackle Demanding AI and HPC Workloads
The NVIDIA A800 40GB Active GPU delivers incredible performance to conquer the most demanding workflows on workstation platforms—from AI training and inference, to complex engineering simulations, modeling, and data analysis. With more than 2X the performance of the previous generation, the A800 40GB Active supports a wide range of compute-intensive workloads flawlessly.
AI Training - ResNet-50 V1.5
ResNet-50 V1.5 Training. Batch Size=256; Precision=Mixed.
AI Training - BERT - Large
BERT Large Pre-Training Phase 2 Batch Size=8; Precision=Mixed.
HPC - GTC
GTC Version 4.5, TAE, Precision=FP32.
HPC - LAMMPS
LAMMPS patch_8Feb2023, Atomic Fluid Lennard-Jones 2.5 (cutoff); Precision=FP64.
AI Inference - ResNet-50 V1.5
ResNet-50 V1.5 Inference. Batch Size=128; Precision=Mixed.
AI Inference - BERT - Large
BERT Large Inference. Batch Size=128; Precision=INT8.
Performance testing with A800 40GB Active and Quadro GV100 GPUs and Intel Xeon Gold 6126 processor.
Supercomputing Performance on Desktop Workstations
Offload demand for data center resources with NVIDIA RTX™-powered AI workstations that deliver the power of a supercomputer to the desktop. Workstation platforms equipped with the latest NVIDIA RTX GPUs and NVIDIA AI Enterprise software provide powerful AI performance to build, train, and deploy the next generation of AI-augmented applications and models.
Specifications
NVIDIA A800 40GB Active
| GPU Memory | 40GB HBM2 |
| Memory Interface | 5,120-bit |
| Memory Bandwidth | 1,555.2 GB/s |
| CUDA Cores | 6,912 |
| Tensor Cores | 432 |
| Double-Precision Performance | 9.7 TFLOPS |
| Single-Precision Performance | 19.5 TFLOPS |
| Peak Tensor Performance | 1,247 AI TOPS | 623.8 TFLOPS |
| Multi-Instance GPU | Up to 7 MIG instances @ 5GB |
| NVIDIA NVLink | Yes |
| NVLink Bandwidth | 400GB/s |
| Graphics Bus | PCIe 4.0 x 16 |
| Max Power Consumption | 240W |
| Thermal | Active |
| Form Factor | 4.4” H x 10.5” L, dual slot |
| Display Capability* | – |
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*The A800 40GB Active does not come equipped with display ports. Either the NVIDIA RTX 4000 Ada Generation, NVIDIA RTX A4000, NVIDIA RTX A1000, or the NVIDIA T1000 GPU is required to support display out capabilities. |
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