NVIDIA A100 PCIe 80GB 80GB Specs, Benchmarks & Pricing
The NVIDIA A100 PCIe 80GB was announced in May 2020, is a formidable accelerator in the field of machine learning and artificial intelligence. Built on NVIDIA's advanced Ampere architecture, this accelerator is designed for high-performance computing, deep learning training, and inference tasks. With its massive 80 GB of HBM2e memory and superior memory bandwidth of 1,935 GB/s, it caters to the most demanding AI workloads. The inclusion of 432 tensor cores significantly accelerates machine learning applications, making it a go-to choice for researchers and data scientists. Operating at a base clock of 1065 MHz and a boost clock up to 1410 MHz, it delivers impressive computational power, capped at a maximum power consumption of 300 watts. The A100-PCIE-80GB is notable for its high FP32 performance of 19.5 TFLOPS, emphasizing its capability in handling floating-point operations efficiently.
- Release Date: June 28, 2021
- MSRP: $15,000 USD†
- GPU Architecture: Ampere
- Hardware-Accelerated GEMM Operations:FP64 FP32 TF32 BF16 FP16 FP8 FP4 INT8 INT4
- CUDA Compute Capability : 8
† Estimated MSRP of $15,000 USD for the A100 PCIe 80GB based on launch-time market pricing. NVIDIA does not publish official MSRP for data center GPUs. Sources from around the 2020-2021 launch period cite A100 40GB PCIe at ~$10,000-$12,000 and 80GB PCIe at ~$15,000-$20,000. Note: A100 pricing varies significantly by form factor (PCIe vs SXM) and memory size (40GB vs 80GB). SXM variants are typically more expensive than PCIe. Sources: CNBC, Modal.com, LoveChip, Wikipedia.
Strengths
- Excellent FP32 compute performance (top 13% of GPUs)
- Excellent FP16 compute performance (top 18% of GPUs)
Specifications for NVIDIA A100 PCIe 80GB
| Specification | Performance Ranking |
|---|---|
| FP32 TFLOPs | |
| FP16 TFLOPs | |
| Tensor Core Count | |
| Memory Capacity (GB) | |
| Memory Bandwidth (GB/s) | |
| Int8 TOPs | |
| FP8 TFLOPs | Data not available |
| FP4 TFLOPs | Data not available |
Real-time NVIDIA A100 PCIe 80GB GPU Prices
Compare Price/Performance to other GPUs
Compare NVIDIA A100 PCIe 80GB to Another GPU
Price History
NVIDIA A100 PCIe 80GB Price History
This chart tracks NVIDIA A100 PCIe 80GB prices over the past 6 months based on eBay listings. The yellow line shows the average of the three lowest-priced listings each day—a useful indicator for finding deals.
Trend: Over this period, the lowest average price has been up 54.1%. The current lowest average is $14,433, compared to a typical $11,323 over the period. The lowest average price is calculated as the average of the three lowest-priced listings each day.
Product Identifiers
Manufacturer Part Numbers (4)
- BOARD NUMBER
- P1001 SKU 200
- NVIDIA Part Number
- 900-21001-0020-100
- NVPN (WITH CEC)
- 900-21001-0020-000
- NVPN (LIQUID COOLED)
- 900-21001-0060-000
Available from 7 Partners (16 products)
- NVIDIA Ampere A100, PCIe, 300W, 80GB Passive, Double Wide, Full Height GPU
- 490-BHBK(part number)
- NVIDIA A100 80GB PCIe GPU
- 575TK(part number)
- NVIDIA A100 80GB PCIe GPU
- WGWR4(part number)
- NVIDIA A100 80GB PCIe GPU (OEM)
- 900-21001-0120-030-DELL(part number)
- NVIDIA A100 80GB PCIe Non-CEC Accelerator
- R9P49C(part number)
- NVIDIA A100 80GB PCIe Non-CEC Accelerator
- P49082-001(part number)
- SPS-PCA NVIDIA A100 80GB PCIe GPU
- P54869-001(part number)
- ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU w/o CEC
- 4X67A76715(part number)
- NVIDIA A100 80GB PCIe GPU
- NVA100TCGPU80-KIT(sku)
- NVIDIA A100 80GB PCIe GPU (Non-CEC)
- NVA100TCGPU80NC-KIT(sku)
- NVIDIA A100 80GB PCIe GPU
- TCSA100M-80GB-PB(sku)
- NVIDIA A100 80GB CoWoS HBM2 PCIe w/o CEC
- GPU-NVA100-80-NC(part number)
- NVIDIA Tesla A100 80GB PCIe GPU
- UCSC-GPU-A100-80(part number)
- NVIDIA Tesla A100 80GB PCIe GPU (Spare/Orderable)
- UCSC-GPU-A100-80=(part number)
- Tesla A100, Passive, 300W, 80GB
- UCSC-GPUA100-80-D(part number)
- Tesla A100 80GB PCIe DSFH w/ATX BKT (Bundle Sale)
- SKY-TESL-A100-80P(part number)
References
- https://www.nvidia.com/en-us/data-center/a100/
- https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-nvidia-us-2188504-web.pdf
- https://developer.nvidia.com/blog/nvidia-ampere-architecture-in-depth/
- https://www.techpowerup.com/gpu-specs/a100-pcie-80-gb.c3821
- https://www.cnbc.com/2023/02/23/nvidias-a100-is-the-10000-chip-powering-the-race-for-ai-.html
- https://modal.com/blog/nvidia-a100-price-article
- https://www.lovechip.com/blog/the-nvidia-a100-gpu-the-ai-workhorse-that-changed-everything
- https://www.nvidia.com/en-us/data-center/tensor-cores/
- https://insidesystems.com/product/575tk/
- https://www.dell.com/en-us/shop/nvidia-ampere-a100-pcie-300w-80gb-passive-double-wide-full-height-gpu-customer-install/apd/490-bhbk/graphic-video-cards
- https://expresscomputersystems.com/products/hpe-nvidia-a100-80gb-pcie-non-cec-accelerator-r9p49c
- https://www.hpe.com/us/en/product-catalog/compute/accelerators/pip.specifications.nvidia-accelerators.1014651806.html
- https://lenovopress.lenovo.com/lp1734-thinksystem-nvidia-a100-pcie-40-gpu
- https://www.pny.com/nvidia-a100-80gb
- https://store.supermicro.com/us_en/supermicro-nvidia-a100-ampere-40-gb-graphics-card.html
- https://www.expresscomputersystems.com/products/cisco-nvidia-tesla-a100-80gb-dw-ucsc-gpu-a100-80
- https://www.advantech.com/en-us/products/8d6a8886-b57e-493f-87c8-6f1e02d0608a/sky-tesl-a100-80p/mod_7af76fc9-a36d-4e4b-8ab8-b91d0248507a
- https://devicehunt.com/view/type/pci/vendor/10DE/device/20B5
- https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf
Notes
- fp32TFLOPS of 156 is TF32 Tensor Core throughput without sparsity, per the NVIDIA A100 datasheet (nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf), which lists TF32 Tensor Core as 156 dense and 312 with sparsity. FP32 vector (CUDA core) throughput is 19.5 TFLOPS.
- Estimated MSRP of $15,000 USD for the A100 PCIe 80GB based on launch-time market pricing. NVIDIA does not publish official MSRP for data center GPUs. Sources from around the 2020-2021 launch period cite A100 40GB PCIe at ~$10,000-$12,000 and 80GB PCIe at ~$15,000-$20,000. Note: A100 pricing varies significantly by form factor (PCIe vs SXM) and memory size (40GB vs 80GB). SXM variants are typically more expensive than PCIe. Sources: CNBC, Modal.com, LoveChip, Wikipedia.
- Board Number P1001 SKU 200 sourced from TechPowerUp GPU Database.
- NVIDIA part number 900-21001-0020-100 (non-CEC version) is the primary NVPN for A100 PCIe 80GB. Part number scheme: 900-21001-XXXX-1XX indicates non-CEC (without secondary root of trust), while 900-21001-XXXX-0XX indicates CEC variant (with secondary root of trust). Sources: harddiskdirect.com, acmemicro.com, bitworks.io.
- PCI Device ID 10DE:20B5 sourced from Device Hunt and NVIDIA driver documentation. Vendor ID 10DE is NVIDIA Corporation, Device ID 20B5 is GA100 [A100 PCIe 80GB].
- Dell part numbers verified from multiple reseller sources including Inside Systems, Express Computer Systems, and Dell official product page.
- HPE part numbers R9P49C (product number), P49082-001 (part number), and P54869-001 (spare part number) verified from Express Computer Systems, HPE official product catalog, and ShopBLT.com.
- Lenovo part number 4X67A76715 verified from Lenovo Press product guide and multiple reseller sources. Note: Lenovo A100 PCIe products are now withdrawn, but SXM variants remain available.
- PNY part numbers NVA100TCGPU80-KIT (standard), NVA100TCGPU80NC-KIT (non-CEC), and TCSA100M-80GB-PB verified from PNY official website and multiple reseller sources.
- Supermicro part number GPU-NVA100-80-NC verified from Supermicro official store and authorized resellers. This part corresponds to NVIDIA base part 900-21001-0020-100.
- Cisco part numbers UCSC-GPU-A100-80, UCSC-GPU-A100-80=, and UCSC-GPUA100-80-D verified from Express Computer Systems, Provantage, and Cisco documentation. Note: Cisco requires unique SBIOS ID for GPU cards, so all A100 cards must be procured from Cisco.
- Advantech part number SKY-TESL-A100-80P verified from Advantech official product page and pf-electronic.pl. This is a bundle sale item including ATX bracket.
- Phase 5 audit (2026-09-02): gpuArchitecture normalized from lowercase 'ampere' to canonical 'Ampere' capitalization per the canonical table in .claude/agents/gpu-researcher.md.
- Phase 5 audit (2026-09-02): supportedHardwareOperations reviewed against the canonical Ampere baseline in .claude/agents/gpu-researcher.md (TF32, BF16, FP16, INT8, INT4) — file already matched. FP64 is retained because the A100 is GA100-based (confirmed by PCI Device ID 20B5 = GA100 per the Device Hunt reference above), and per NVIDIA's A100 architecture whitepaper the GA100 die's 3rd-gen Tensor Cores add a dedicated FP64 Tensor Core path not present on GA10x consumer/professional dies. No change made to the array.
- fp8TFLOPS and fp4TFLOPS are left null (field omitted) and not added to unverifiedSpecs — this is a confirmed hardware negative, not a research gap. The A100's Ampere 3rd-generation Tensor Cores predate both FP8 (introduced in Ada Lovelace/Hopper) and FP4 (introduced in Blackwell) tensor formats, per the canonical architecture table in .claude/agents/gpu-researcher.md.
- fp16TFLOPS of 624 is FP16 Tensor Core throughput with 2:4 structured sparsity, as the NVIDIA A100 datasheet (nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf) publishes it: "312 | 624*", footnoted "With sparsity".