NVIDIA A100 80GB (900-21001-0020-100)

P/N: 900-21001-0020-100

8 844 (inc. VAT (Spain))

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  • Warranty 1 year

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NVIDIA A100 80GB. with fast EU delivery and worldwide shipping. The best price in the European Union. Includes official warranty.

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Technical Specifications Product

Weight 1 kg
Dimensions 26,7 × 11,1 × 17 cm
Country of manufacture

Taiwan

Manufacturer's warranty (years)

1

Model

NVIDIA A100

Cache L2 (MB)

40

Process technology (nm)

4

Memory type

HBM2e

Graphics Processing Unit (Chip)

Number of CUDA cores

6912

Number of Tensor cores

432

GPU Frequency (MHz)

1065

GPU Boost Frequency (MHz)

1410

Video memory size (GB)

80

Memory frequency (MHz)

16000

Memory bus width (bits)

5120

Memory Bandwidth (GB/s)

1935

Connection interface (PCIe)

PCIe 4.0 x16

FP16 performance (TFLOPS)

312

FP32 performance (TFLOPS)

156

FP64 performance (TFLOPS)

9.7

Cooling type

Passive (server module)

Number of occupied slots (pcs)

2

Length (cm)

26.7

Width (cm)

11.1

Weight (kg)

1

Temperature range (°C)

0–85

Multi-GPU support

Yes, via NVLink

Virtualization/MIG support

MIG (up to 7 instances)

SKU

900-21001-0020-000, 900-21001-0120-130, 900-21001-2720-030

Architecture

Ampere

Product description

NVIDIA A100 80GB PCIe OEM: Graphics, Speed, and Capability Without Compromise

NVIDIA A100 80GB PCIe OEM is a professional accelerator built on the Ampere architecture, designed for artificial intelligence, high-performance computing (HPC), and big data analytics. This GPU remains an industry standard for data centers and research institutions, offering the perfect balance between performance and cost.

80 GB of HBM2e memory with ECC and a bandwidth of up to 1,935 GB/s allows efficient processing of large AI models and massive datasets. Support for Multi-Instance GPU (MIG) technology makes it ideal for cloud and distributed environments, enabling a single GPU to be partitioned into up to seven independent instances.

Specifications

  • GPU Memory: 80 GB HBM2e
  • FP64 Performance: 9.7 TFLOPS
  • FP64 Tensor Core Performance: 19.5 TFLOPS
  • FP32 Performance: 19.5 TFLOPS
  • TF32 Tensor Core Performance: 156 TFLOPS
  • BFLOAT16 Tensor Core Performance: 312 TFLOPS
  • FP16 Tensor Core Performance: 312 TFLOPS
  • INT8 Tensor Core Performance: 624 TOPS
  • Memory Bandwidth: 1,935 GB/s
  • Max Power Consumption (TDP): 300 W
  • Multi-Instance GPU: up to 7 MIGs of 10 GB each
  • Form Factor: PCIe
  • Interconnect: NVIDIA NVLink Bridge for 2 GPUs – 600 GB/s; PCIe Gen4 – 64 GB/s
  • Server Options: NVIDIA-Certified and Partner Systems with 1–8 GPUs

Applications

  • Training and inference of large language models (LLM, generative AI)
  • Scientific computing and simulations (HPC, molecular modeling, CFD, physics)
  • Big data analytics and real-time processing
  • GPU virtualization (MIG, vGPU, NVIDIA AI Enterprise)
  • Cluster systems with GPU interconnection via NVLink

Comparison With the New Generation

NVIDIA A100 80GB is still regarded as a reliable standard for data centers — ideal for neural network training, inference, and scientific workloads, offering excellent stability and predictable performance. However, the release of NVIDIA H100 has shifted the focus to an entirely new level of AI computing.

While the A100 was designed as a universal accelerator for AI and HPC workloads, the H100 was built specifically for generative AI and large-scale language model training. It introduces next-generation Tensor Cores and FP8 precision support, dramatically boosting performance in LLM training and inference. With the same memory size, the H100 delivers much higher bandwidth and data throughput, while its Hopper architecture is overall more efficient than Ampere.

Thus, the A100 remains a more affordable and proven choice for organizations that need reliable, time-tested AI and big data accelerators — while the H100 is the solution for those working on the cutting edge of generative AI, seeking maximum performance for the most demanding workloads.

Why Buy the A100 80GB PCIe OEM From Us

  • Direct imports from the USA
  • 3-year warranty
  • Any form of payment. Card, bank transfer (w/ex VAT), USDT cryptocurrency
  • Expert consulting for data center and AI cluster integration

Purchasing the A100 80GB PCIe OEM means investing in a proven accelerator that has become the industry standard and remains relevant for the vast majority of enterprise and research applications.

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Product Berchmark

Review and Analysis of NVIDIA A100 80GB Graphics Card

NVIDIA A100 80GB is a high-performance graphics accelerator based on the Ampere architecture, which has become the industry standard for artificial intelligence tasks, data analysis, and high-performance computing (HPC). This model offers double the memory capacity compared to the original A100 40GB version and significantly increased bandwidth, enabling efficient work with the largest models and datasets.

A key feature of the A100 80GB is the use of fast HBM2e memory, providing a bandwidth of nearly 2 TB/s, as well as support for Multi-Instance GPU (MIG) technology, which allows a single physical accelerator to be partitioned into multiple isolated instances to optimize resource utilization.


Comparative Table of Technical Specifications

The table presents a comparison of the NVIDIA A100 80GB with nine competitors and alternative solutions, including newer Hopper (H100, H200) and Blackwell architecture models, as well as workstation and server solutions (RTX and L40 series).

Model VRAM (GB) Memory Type Bandwidth (GB/s)* CUDA Cores Tensor Cores FP16 (TFLOPS) FP32 (TFLOPS) FP64 (TFLOPS) Tensor Perf (TFLOPS) Interface TDP (W)
NVIDIA A100 80GB 80 HBM2e 1935 6912 432 312 156 9.7 624 PCIe 4.0 x16 300
NVIDIA H100 80GB 80 HBM2e 2039 14592 432 1979 989 49 3958 PCIe 5.0 x16 350
NVIDIA H200 141GB 141 HBM3e 4800 14592 432 1979 989 49 3958 PCIe 5.0 x16 600
NVIDIA H100 96GB 96 HBM3 3900 16896 432 1979 989 49 3958 PCIe 5.0 x16 400
NVIDIA H100 NVL 94GB 94 HBM3 3900 14592 432 1513 756 30 3026 PCIe 5.0 x16 400
NVIDIA A100 40GB 40 HBM2e 1555 6912 432 312 156 9.7 624 PCIe 4.0 x16 250
NVIDIA RTX Pro 6000 Blackwell 96GB 96 GDDR7 ECC 1792 24064 752 110.1 55.1 1.97 220.2 PCIe 5.0 x16 600
NVIDIA RTX 6000 Ada 48GB 48 GDDR6 ECC 960 18176 568 91.1 1457 PCIe 4.0 x16 300
NVIDIA L40S 48GB 48 GDDR6 ECC 864 18176 568 733 366 PCIe 4.0 x16 350
NVIDIA L40 48GB 48 GDDR6 ECC 864 18176 568 362.1 90.52 1.414 PCIe 4.0 x16 300

*Bandwidth — Memory Bandwidth. Values marked with “-” indicate a lack of data in the provided specification.


Analysis of Technical Specifications of the NVIDIA A100 80GB GPU

The analysis shows that the NVIDIA A100 80GB retains key advantages in specific task segments, especially when compared to alternative server and workstation solutions:

  • Superiority in Double Precision Computing (FP64): A100 80GB demonstrates performance of 9.7 TFLOPS in FP64, which is many times higher than the figures for RTX and L40 series cards (where values are often below 2 TFLOPS or absent). This makes the card indispensable for scientific modeling, physical process simulations, and CAE systems.
  • High-Speed HBM2e Memory: The use of HBM2e memory provides a bandwidth of 1935 GB/s, which is more than 2 times higher than GDDR6-based solutions (L40S, RTX 6000 Ada). This is critical for memory-bound tasks such as training large neural networks.
  • Optimal Infrastructure Balance: Compared to 600 W cards (H200, RTX Blackwell), the power consumption of the A100 is 300 W, allowing it to be used in denser server configurations without the need for radical modernization of power and cooling systems.
  • Scalability via NVLink: Support for the fast NVLink interconnect (up to 600 GB/s) allows for the efficient combination of multiple A100 cards into a single computing cluster, which is often unavailable or limited on L40 series cards.

Conclusion

The NVIDIA A100 80GB remains a powerful and sought-after tool for the corporate sector and research institutes. Possessing a significant advantage in memory bandwidth and FP64 performance over modern universal L and RTX series accelerators, it represents the gold standard for tasks requiring high computational precision and rapid processing of large data volumes, yielding only to its direct successors of the Hopper architecture.

Product FAQ

The main difference lies in the volume and speed of the video memory. The 80GB version is equipped with HBM2e standard memory, which not only doubles the available capacity for loading massive neural networks and datasets but also provides memory bandwidth at 1935 GB/s (compared to 1555 GB/s for the 40GB version), significantly accelerating model training and high-performance computing.

No, the NVIDIA A100 80GB is not designed for gaming and does not have video outputs (HDMI or DisplayPort) for connecting a monitor. It is a specialized accelerator for servers and workstations, created for artificial intelligence (AI), data analysis, and scientific calculations.

The graphics card is equipped with a passive cooling system. This means it only has a heatsink without fans. For correct operation, the card must be installed in a server chassis or workstation with powerful directional airflow ensuring necessary heat dissipation.

Yes, the card supports Multi-Instance GPU (MIG) technology. It allows a single physical A100 GPU to be partitioned into seven fully isolated virtual instances, each with its own dedicated memory and compute resources. This is ideal for cloud solutions and simultaneous multi-user operation.

Yes, the A100 80GB PCIe supports combining two graphics cards using an NVLink Bridge. This provides a data exchange speed between cards of up to 600 GB/s, which is critical for scaling large language model training tasks and complex simulations.

The card uses the PCI Express 4.0 x16 interface. It is fully compatible with modern servers supporting PCIe 4.0 and 5.0 (in backward compatibility mode), ensuring high data transfer speeds between the processor and the video card.

The maximum power consumption (TDP) of the card is 300 W. Connection usually requires the use of specialized power cables (often 8-pin CPU/EPS12V in server configurations), and the server power supply must have sufficient power reserve to service all installed accelerators.

This model is the industry standard for training and inference of large language models (LLM), deep learning, high-performance computing (HPC) in physics, genomics, and chemistry, as well as for real-time big data analytics.

When purchasing from our store, an official 3-year warranty is provided. This ensures investment reliability and support in case of warranty claims throughout the long operation period.

Payment & Shipping methods

Fast and reliable delivery across the European Union
Estimated transit time: 3–7 days from order confirmation. Worldwide shipping is available for customers outside the EU.
All orders are processed within 24 hours after confirmation. Tracking information is provided as soon as the parcel leaves our logistics center.

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Additional Notes

  • Delivery times may vary depending on customs clearance and carrier schedules.
  • Large or custom-built items may require additional handling time.
  • Shipments are insured until delivered to the customer.
  • We do not deliver to P.O. boxes or military addresses.

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