NVIDIA RTX PRO 6000 Blackwell Workstation Edition 96GB (Boxed)

The RTX PRO 6000 Workstation Edition represents the full Blackwell GB202 die in a desktop GPU form factor with active display outputs, designed for professionals who need to interact with workloads locally while running large inference or training batches. This is the workstation variant with DisplayPort outputs, standard tower chassis airflow cooling, and single-GPU optimized power delivery. The server variant (headless, rack-first, front-to-back airflow) and Max-Q variant (300W, multi-GPU scalable to 4 GPUs per system) are separate products in the RTX PRO 6000 family. Core specifications: 24,064 CUDA cores, 752 fifth-gen Tensor Cores with FP4 precision and DLSS 4 support, 188 fourth-gen RT Cores. 96GB GDDR7 ECC memory at 1,792 GB/s bandwidth. 125 TFLOPS FP32 compute. PCIe Gen 5 x16. 600W TDP with double-flow-through cooling design. 4x DisplayPort 2.1b supporting up to 8K at 240Hz and 16K at 60Hz. The AI compute case is where this card earns its price. 96GB of ECC memory on a single GPU means running 70B parameter models at FP16 without memory constraints, 120B at FP8, and 180B+ at INT4/FP4 quantization. For teams running local LLM inference (Llama, Mistral, DeepSeek class models), RAG pipelines, AI agent development, fine-tuning via LoRA and QLoRA, or supervised fine-tuning and RLHF alignment, this single card replaces cloud GPU rental at a one-time hardware cost. The CUDA-X library ecosystem (RAPIDS, cuDNN, TensorRT) accelerates data science and ML pipelines without code rewrites. MIG (Multi-Instance GPU) divides the RTX PRO 6000 into up to 4 fully isolated instances, each with dedicated memory, cache, and compute cores with guaranteed QoS. This enables concurrent workload execution: run inference on one instance while training on another, or serve multiple users from a single card in a shared workstation environment. GPU mining capability is real but secondary. The 24,064 CUDA cores and massive memory pool handle GPU-mineable algorithms including Ethash (Ethereum Classic), KHeavyHash (Kaspa), Autolykos2 (Ergo), RandomX (Monero, CPU-dominant but GPU-assisted), and emerging proof-of-work algorithms on newer chains. Current May 2026 mining economics per Hashrate.no: GPU mining profitability across most algorithms is marginal to negative at $0.08 to $0.12 per kWh electricity rates. The 600W TDP makes electricity cost the dominant variable. Operators with access to sub-$0.05 per kWh power or those mining speculative low-cap coins for accumulation may find positive economics. The honest framing: buy this card for AI compute, treat mining as optionality. Compared to the NVIDIA A100 80GB ($7,900 to $8,200 from this same MillionMiner inventory): the RTX PRO 6000 delivers more TFLOPS (125 versus 78 FP32), more memory (96GB versus 80GB), newer architecture (Blackwell versus Ampere), and display outputs for local interaction. The A100 offers proven data center ecosystem integration and HGX/DGX compatibility. For new single-GPU deployments, the RTX PRO 6000 is the superior compute per dollar. Three RTX PRO 6000 variants exist across MillionMiner's catalog. Workstation Edition (this product, 600W, display outputs, single-GPU optimized, $10,000 to $11,000). Server Edition (headless, rack-first, front-to-back airflow, $13,000). Max-Q Edition (300W, scalable to 4 GPUs per system, pricing on inquiry). Boxed retail packaging with full NVIDIA manufacturer warranty. MillionMiner price $10,000 to $11,000.