Brand: Gigabyte | Category: GPUs
SKU: GV-NA100P-80G | Part #: GV-NA100P-80G | MPN: GV-NA100P-80G
Contact for Pricing — Request a Quote
With FP32 performance reaching 19.5 TFLOPS, BF16 tensor performance at 156 TFLOPS, and INT8 tensor performance delivering 624 TOPS, the Gigabyte NVIDIA A100 PCIe 80GB HBM2e GPU Card (model GV-NA100P-80G) is engineered for multi-precision AI and high-performance computing workloads that demand both flexibility and throughput. Built on the NVIDIA Ampere architecture with 6912 CUDA cores and 432 third-generation Tensor Cores, this accelerator combines raw compute density with the memory capacity and bandwidth required for large-scale model training, inference, and scientific simulation.
The 80 GB HBM2e memory subsystem delivers 2000 GB/s of bandwidth, enabling rapid data movement across compute pipelines—critical for AI infrastructure teams planning next-generation training clusters or inference platforms. Gigabyte's implementation supports PCIe 4.0 x16 connectivity, NVLink at 600 GB/s bidirectional throughput for multi-GPU scaling, and Multi-Instance GPU (MIG) for workload isolation across up to 7 independent instances. With ECC memory protection, a 300 W thermal design power envelope, and passive blower-style cooling that integrates into standard data-center airflow designs, the GV-NA100P-80G fits naturally into dense GPU server configurations. The dual-slot, full-height form factor and dual 8-pin PCIe power connectors ensure compatibility with enterprise-grade platforms. Contact Omnixon Global to request a quotation and explore how this Gigabyte accelerator can accelerate your AI and HPC roadmap.
| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-NA100P-80G |
| Part Number | GV-NA100P-80G |
| Condition | New |
| Manufacturer Part Number | GV-NA100P-80G |
| GPU Architecture | NVIDIA Ampere |
| CUDA Cores | 6912 |
| Tensor Cores | 432 (3rd Generation) |
| Memory Capacity | 80 GB HBM2e |
| Memory Bandwidth | 2000 GB/s |
| FP64 Tensor Performance | 77.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS |
| TF32 Tensor Performance | 156 TFLOPS (312 TFLOPS with sparsity) |
| INT8 Tensor Performance | 624 TOPS (1248 TOPS with sparsity) |
| Interface | PCIe 4.0 x16 |
| NVLink | Supported (600 GB/s bidirectional via NVLink Bridge) |
| Multi-Instance GPU (MIG) | Up to 7 MIG instances supported |
| Thermal Design Power (TDP) | 300 W |
| Power Connectors | 2x 8-pin PCIe |
| Cooling Solution | Passive (blower-style, requires system airflow) |
| Form Factor | Full-height, full-length (FHFL), dual-slot |
| Display Outputs | None |
| ECC Memory | Supported |
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.
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.
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.
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.