NVIDIA A100 40GB PCIe Tensor Core GPU (Original)

Genuine NVIDIA or authorized OEM production A100 40GB PCIe with full enterprise warranty. Distinguishes this from the "A100 80G Custom" variant also in MillionMiner's catalog, which may use a modified or aftermarket configuration. "Original" means factory specifications, verified firmware, and standard NVIDIA warranty coverage. Brand New condition.

Ecosystem maturity. The A100 has the deepest driver support, ML framework optimization, and enterprise deployment documentation of any GPU. Every cloud provider runs A100 fleets. Every production inference pipeline is tested against it. If you need proven reliability over cutting-edge specs, the A100 remains the safest infrastructure investment. At $8,000, it is also the lowest-cost genuine NVIDIA data center GPU in MillionMiner's catalog.

Inference on quantized models up to approximately 25B parameters at INT8. LoRA/QLoRA fine-tuning on 7B to 13B models at FP16. Full fine-tuning on models up to approximately 7B at FP16 with optimizer offloading. Inference on smaller production models (BERT, ViT, stable diffusion, ResNet class) without constraints. Cannot handle 70B+ models at FP16; those need the 80GB variant or RTX PRO 6000 96GB.

Same GA100 chip, same core counts, same compute TFLOPS. The 80GB doubles memory (80GB HBM2e, 1,935 GB/s for 80GB PCIe versus 1,555 GB/s for 40GB) and increases MIG instance size (10GB per instance versus 5GB). 80GB TDP is 300W versus 250W. MillionMiner's A100 80GB Custom is priced at $7,900 to $8,200, comparable to the 40GB Original at $8,000. Unless the "Original" genuine warranty matters versus the "Custom" designation, the 80GB is the better value for most workloads.

PCIe A100 (this product) fits standard server and workstation motherboards via PCIe Gen 4 x16 slot. 250W TDP. NVLink via bridge between 2 GPUs. SXM A100 uses NVIDIA's HGX baseboard with direct NVLink across up to 8 GPUs via NVSwitch. 400W TDP. Higher performance but requires purpose-built HGX server infrastructure. The PCIe variant is the versatile option for existing server platforms.

Multi-Instance GPU creates up to 7 fully isolated instances on one A100, each with 5GB dedicated memory, dedicated cache, and compute resources with guaranteed QoS. Works with Kubernetes, containers, and hypervisor-based virtualization. The 7-instance granularity exceeds newer GPUs like the RTX PRO 6000 (4 instances), making the A100 better for multi-tenant inference serving with many small concurrent models.

Yes, via NVLink bridge connecting two PCIe A100 GPUs at 600 GB/s bidirectional bandwidth. This effectively creates a unified 80GB memory pool with high-speed interconnect. Neither the RTX PRO 6000 nor the RTX 5090 offers NVLink. The A100's NVLink capability is a genuine architectural differentiator for 2-GPU scaling on memory-bound workloads.

Technically yes on GPU-mineable algorithms, but this is not a mining card in 2026. Hashrate.no data shows GPU mining profitability is negative at standard electricity rates for data center GPUs at this price tier. The 250W TDP and HBM memory provide some efficiency on memory-hard algorithms, but the $8,000 acquisition cost makes mining ROI impractical. Buy for AI compute and HPC.

Yes. NVIDIA continues CUDA and driver support for Ampere architecture across current CUDA toolkit releases (12.x). No announced end-of-support date. Data center GPUs historically receive driver support for many years after production ends. Current ML frameworks (PyTorch, TensorFlow, JAX, TensorRT, Triton) all maintain A100 optimization.

A100 40GB: 19.5 TFLOPS FP32, 40GB HBM2e at 1,555 GB/s, NVLink, 7 MIG instances, 250W, $8,000. RTX PRO 6000: 125 TFLOPS FP32, 96GB GDDR7 at 1,792 GB/s, no NVLink, 4 MIG instances, 600W, $10,000+. The RTX PRO 6000 wins on raw FP32 compute (6.4x) and memory capacity (2.4x). The A100 wins on NVLink interconnect, MIG granularity, power efficiency per GB, and production ecosystem maturity. Different tools for different deployment priorities.