NVIDIA
Model: RTX PRO 6000 Server
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NVIDIA RTX PRO 6000 Blackwell Server Edition. Same full GB202 silicon as the Workstation Edition: 24,064 CUDA cores, 752 fifth-gen Tensor Cores, 188 fourth-gen RT Cores, 96GB GDDR7 ECC at 1,792 GB/s, 125 TFLOPS FP32. Headless rack-first configuration with passive cooling and front-to-back airflow for server chassis. No active display outputs (network-scheduled workloads consumed remotely). Firmware, power, and thermal profiles tuned for 24/7 continuous duty. Up to 8 GPUs per server node. MIG support for 4 isolated instances per GPU. Paired with NVIDIA AI Enterprise, container orchestration, and hypervisor passthrough. PCIe Gen 5 x16. MillionMiner price $13,000.
Pricing, lead time, and hosting options. Personal advice from our sales team.
Pricing, lead time, and hosting options. Personal advice from our sales team.
The RTX PRO 6000 Server Edition exists because the Workstation Edition's active cooling, display outputs, and desktop-optimized firmware are wrong for data center deployment. Same GB202 silicon, same 24,064 CUDA cores, same 96GB GDDR7 ECC, same 125 TFLOPS FP32. Different thermal design, different firmware stack, different management model. Passive cooling with front-to-back airflow means the card has no onboard fans. The GPU die and memory are cooled exclusively by the server chassis's system fans pulling air from front to back across the heatsink. This eliminates fan noise and fan failure as variables but requires validated server platforms with sufficient CFM at the GPU positions. Supermicro, ASUS, Lenovo, and Dell all offer validated 2U and 4U server configurations specifically for the RTX PRO 6000 Server Edition. Multi-GPU scaling is the primary infrastructure advantage over the Workstation Edition. Up to 8 GPUs fit in a single server node on validated platforms. Eight cards deliver 768GB combined GPU memory and approximately 1,000 TFLOPS FP32 aggregate. For AI inference serving, this node handles dozens of concurrent model instances across large open-weight LLMs. For fine-tuning, 768GB accommodates distributed training across 8 GPUs on models up to and beyond 70B parameters. For GPU mining operations, 8 headless cards in one chassis driven by one CPU and one OS instance is the most efficient mining rig architecture per-unit-of-management-overhead. No NVLink interconnect differentiates this from NVIDIA's HGX/DGX class products (H100 SXM, B200). Multi-GPU communication relies on PCIe Gen 5 bandwidth, which is adequate for inference and embarrassingly parallel workloads (like mining) but limits training performance on jobs requiring heavy gradient synchronization across GPUs. For training-dominated workflows requiring NVLink, the H100/B200 path remains superior. For inference-dominated and mining workflows, the RTX PRO 6000 Server at $13,000 per GPU versus $25,000+ for H100 SXM is dramatically more cost-efficient. MIG (Multi-Instance GPU) creates up to 4 isolated instances per card with dedicated memory, cache, and compute. On an 8-GPU node: up to 32 independent workloads running concurrently with guaranteed QoS per instance. This density makes the RTX PRO 6000 Server competitive with NVIDIA L40S deployments at better performance per dollar per Supermicro's published benchmarks. For headless GPU mining operations, the Server Edition is the architecturally correct choice over the Workstation Edition. Mining rigs run headless, managed over SSH or remote management BMC/IPMI. Display outputs are wasted hardware. Passive cooling eliminates fan maintenance on the GPU cards themselves (server chassis fans are the only moving parts). 24/7 firmware profiles match mining's continuous operation requirement. The $2,000 premium over the Workstation Edition buys the correct thermal design for rack density and the 8-GPU-per-node scalability that mining operations benefit from. PCIe Gen 5 x16. 96GB GDDR7 ECC per card.
The Server Edition is the same GB202 chip in a different thermal and management package. Where the Workstation Edition ($10,000 to $11,000) targets desktop users who need display outputs and active cooling in a tower chassis, the Server Edition ($13,000) targets rack deployments where every watt, cable, and airflow path follows a data center service plan. Passive cooling means no onboard fans. The card relies entirely on the server chassis's front-to-back airflow to dissipate 600W. This makes it silent in operation but absolutely requires a proper 2U or 4U server chassis with adequate forced airflow. Deploying this in a standard desktop tower will result in thermal failure. No active display outputs. Jobs are scheduled over the network via NVIDIA AI Enterprise, Kubernetes with NVIDIA GPU Operator, VMware vGPU passthrough, or bare-metal CUDA. Results are consumed remotely. For GPU mining operations running headless rigs managed over SSH or remote management tools, this is actually the correct form factor since mining rigs never use display outputs anyway. Up to 8 RTX PRO 6000 Server GPUs per server node (Supermicro, ASUS, Lenovo, Dell validated platforms). Eight cards deliver 768GB combined GPU memory and 1,000 TFLOPS FP32 aggregate in a single node. Each card supports MIG for 4 isolated instances, meaning a single 8-GPU node can run up to 32 independent workloads concurrently. PCIe Gen 5 x16. No NVLink (unlike H100/B200 class data center GPUs), so multi-GPU scaling relies on PCIe bandwidth. 96GB per-GPU memory compensates by keeping most workloads local to each card without cross-GPU memory pooling.
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Headless rack-first variant of the RTX PRO 6000. Same GB202 silicon: 24,064 CUDA cores, 96GB GDDR7 ECC, 125 TFLOPS FP32. Passively cooled with front-to-back airflow for server chassis. No display outputs; workloads scheduled over network and consumed remotely. Firmware tuned for 24/7 continuous operation. Up to 8 GPUs per server node (768GB combined). MIG for 4 isolated instances per card. PCIe Gen 5 x16. Designed for AI inference, fine-tuning, rendering farms, and GPU mining rigs operating headless. MillionMiner price $13,000.
No display outputs, no onboard fans. Front-to-back airflow for server chassis. Firmware tuned for continuous duty.
Eight RTX PRO 6000 Server cards in one chassis. 1,000 TFLOPS FP32 aggregate. 32 MIG instances per node.
Identical silicon to the Workstation Edition. 125 TFLOPS FP32. PCIe Gen 5. Different thermal and management stack.
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The headless, rack-first variant of NVIDIA's RTX PRO 6000. Same GB202 Blackwell silicon (24,064 CUDA cores, 96GB GDDR7 ECC, 125 TFLOPS FP32) in a passively cooled package designed for server chassis with front-to-back airflow. No active display outputs. Firmware tuned for 24/7 continuous operation. Designed for data center AI inference, rendering farms, and headless GPU compute including mining.
Same chip, different deployment model. Workstation: 600W active cooling with onboard fans, 4x DisplayPort 2.1b, single-GPU tower chassis optimized, $10,000 to $11,000. Server: passive cooling (no onboard fans), headless (no display outputs), front-to-back airflow for rack servers, up to 8 GPUs per node, 24/7 firmware profiles, $13,000. Buy Workstation if you need local display interaction. Buy Server if deploying in rack infrastructure.
The Server Edition carries different firmware licensing, thermal engineering for passive cooling at sustained 600W, and validated multi-GPU server platform integration. The premium reflects data center grade reliability engineering and 24/7 duty cycle firmware versus desktop workstation duty cycles. For headless multi-GPU deployments (8 cards per node), the per-GPU cost is offset by reduced chassis and management overhead versus running 8 separate workstation machines.
Yes, and it is architecturally the better choice for mining versus the Workstation Edition. Mining rigs run headless (no display needed), operate 24/7 (firmware matches), and benefit from multi-GPU density (up to 8 cards per server node). Passive cooling eliminates per-card fan maintenance. Same hashrate performance as the Workstation Edition on all GPU-mineable algorithms. Mining profitability on GPU-mineable coins remains marginal at standard electricity rates, so the same dual-use caveat applies: AI compute primary, mining optionality secondary.
Validated by Supermicro, ASUS, Lenovo, and Dell in 2U and 4U rack server configurations. Lenovo ThinkSystem and Supermicro GPU servers are documented with full compatibility guides. AMD EPYC and Intel Xeon CPU platforms supported. Check platform compatibility for specific CPU, slot count, and thermal envelope before purchasing GPUs.
AI inference serving (LLMs, vision models, speech), fine-tuning via LoRA/QLoRA (up to 70B per GPU, larger with multi-GPU distribution), batch embedding generation, RAG pipeline acceleration, AI agent serving, video transcoding with AI enhancement, 3D rendering farms, and scientific computing. NVIDIA AI Enterprise provides the software stack for container orchestration and workload scheduling.
L40S: 48GB GDDR6, Ada Lovelace architecture, 91 TFLOPS FP32, single-slot, 350W. RTX PRO 6000 Server: 96GB GDDR7 ECC, Blackwell, 125 TFLOPS FP32, dual-slot, 600W. The RTX PRO 6000 delivers approximately 37 percent more compute with double the memory at higher power draw. Supermicro's published benchmarks show the RTX PRO 6000 Server outperforming L40S on performance per dollar for AI inference workloads.
A100 80GB ($7,900 to $8,200 at MillionMiner): Ampere, 78 TFLOPS FP32, 80GB HBM2e, NVLink capable, proven data center ecosystem. RTX PRO 6000 Server ($13,000): Blackwell, 125 TFLOPS FP32, 96GB GDDR7 ECC, no NVLink, newer architecture. The RTX PRO 6000 delivers 60 percent more FP32 compute and 20 percent more memory. The A100 wins on HBM bandwidth and NVLink multi-GPU interconnect. For new inference-focused deployments, the RTX PRO 6000 Server is the better buy. For training-focused deployments needing NVLink, the A100 or H100 path remains.
Same GPU-mineable algorithm support as the Workstation Edition: Ethash (Ethereum Classic), KHeavyHash (Kaspa), Autolykos2 (Ergo), Equihash (Zcash), and emerging proof-of-work algorithms. Eight cards per server chassis maximizes hashrate density with minimal management overhead. Mining profitability depends on coin economics and electricity costs.
NVIDIA AI Enterprise for production deployment. NVIDIA GPU Operator for Kubernetes. VMware vGPU for virtualization. NVIDIA Container Toolkit for Docker. TensorRT and Triton Inference Server for optimized inference. NVIDIA RTX Enterprise drivers for stability. CUDA, cuDNN, RAPIDS, and all standard ML frameworks (PyTorch, TensorFlow, JAX).