NVIDIA A100 PCIe 80GB HBM2e Datacenter GPU
Brand: NVIDIA | Category: GPUs
SKU: 900-21001-0014-000 | Part #: 900-21001-0014-000 | MPN: 900-21001-0014-000
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About the NVIDIA A100 PCIe 80GB HBM2e Datacenter GPU
NVIDIA A100 PCIe 80GB HBM2e Datacenter GPU — a full-height, full-length dual-slot PCIe form factor accelerator built on NVIDIA's Ampere architecture for mission-critical datacenter deployments. This PCIe Gen4 x16 GPU delivers exceptional compute density without requiring specialized cooling infrastructure beyond standard datacenter airflow management.
The A100 (part number 900-21001-0014-000) combines 6,912 CUDA Cores and 432 third-generation Tensor Cores to drive performance across diverse workloads. With 80 GB of HBM2e memory connected via a 5,120-bit interface, it achieves 1,935 GB/s memory bandwidth — critical for large-scale AI model training, scientific simulation, and analytics pipelines. Peak performance reaches 19.5 TFLOPS for FP32 operations, 156 TFLOPS for TF32 Tensor operations (312 TFLOPS with sparsity), 312 TFLOPS for FP16 and BF16, and 624 TOPS for INT8 inference (1,248 TOPS with sparsity). Double-precision workloads benefit from 9.7 TFLOPS FP64 and 19.5 TFLOPS FP64 Tensor Core performance. The GPU also supports up to 7 Multi-Instance GPU (MIG) partitions across profiles ranging from 1g.10gb to 7g.80gb, enabling efficient resource sharing in multi-tenant environments. NVLink connectivity delivers 600 GB/s bidirectional bandwidth via NVLink Bridge for two-GPU configurations, while the 300W thermal design power ensures efficient operation in standard PCIe slots.
AI infrastructure teams, research institutions, and enterprise datacenter operators standardizing on NVIDIA platforms will find this accelerator essential for transformer model training, inference acceleration, and compute-intensive analytics at scale. Omnixon Global supplies the NVIDIA A100 PCIe 80GB HBM2e to leading regional and international organizations. For volume pricing, availability, and delivery terms in the UAE region, please submit your RFQ directly to our enterprise sales team.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | 900-21001-0014-000 |
| Part Number | 900-21001-0014-000 |
| Condition | New |
| Manufacturer Part Number | 900-21001-0014-000 |
| GPU Architecture | NVIDIA Ampere |
| CUDA Cores | 6,912 |
| Tensor Cores | 432 (3rd Generation) |
| Memory Capacity | 80 GB HBM2e |
| Memory Bandwidth | 1,935 GB/s |
| GPU Memory Interface | 5,120-bit |
| Peak FP64 Performance | 9.7 TFLOPS |
| Peak FP64 Tensor Core Performance | 19.5 TFLOPS |
| Peak FP32 Performance | 19.5 TFLOPS |
| Peak TF32 Tensor Core Performance | 156 TFLOPS (312 TFLOPS with sparsity) |
| Peak FP16 Tensor Core Performance | 312 TFLOPS (624 TFLOPS with sparsity) |
| Peak BF16 Tensor Core Performance | 312 TFLOPS (624 TFLOPS with sparsity) |
| Peak INT8 Tensor Core Performance | 624 TOPS (1,248 TOPS with sparsity) |
| Multi-Instance GPU (MIG) | Up to 7 MIG instances (1g.10gb to 7g.80gb profiles) |
| Form Factor | PCIe Full-Height, Full-Length (FHFL) dual-slot |
| Interconnect | PCIe Gen4 x16 |
| Thermal Design Power (TDP) | 300W |
| NVLink | 600 GB/s bidirectional (via NVLink Bridge, up to 2 GPUs) |
| ECC Support | Yes |
Frequently Asked Questions about NVIDIA A100 PCIe 80GB HBM2e Datacenter GPU
What server platforms accept the NVIDIA A100 PCIe 80GB HBM2e Datacenter GPU?
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
How long is the lead time on AI GPUs?
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Can you help with NVIDIA AI Enterprise licensing?
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.