RTX PRO 4000 SFF Blackwell 24GB

NVIDIA RTX PRO 4000 SFF Blackwell 24GB graphics card — a compact professional accelerator for AI, CAD, and media streaming

RTX PRO 4000 SFF Blackwell is a compact version of the professional line based on the Blackwell 2.0 architecture, designed for SFF (Small Form Factor) workstations and dense server chassis. The card maintains a very low TDP (70 W) while retaining a modern set of computing units: 8960 CUDA, 5th generation tensor cores and 4th generation RT cores. This makes the adapter a convenient choice for everyday LLM inference, interactive visualisation in CAD/BIM, broadcasting and real-time rendering tasks where compactness and energy efficiency are important.

Summary of key features of the RTX PRO 4000 SFF Blackwell

• Architecture: NVIDIA Blackwell 2.0 (4 nm), GPU: GB203
• CUDA cores: 8960; Tensor Cores (Gen 5): 280; RT cores (Gen 4): 70
• Frequencies: 1590 MHz (base), up to 2617 MHz (Boost)
• Memory: 24 GB GDDR7 with ECC, 192-bit bus, 432 GB/s bandwidth
• Interface: PCIe 5.0 x8, without NVLink (scaling via PCIe/Sync)
• Performance: FP32 ≈ 24 TFLOPS, FP16 ≈ 24 TFLOPS; INT8/FP8 — up to ~770 AI TOPS (according to NVIDIA announcement)
• Media engines: 2× NVENC (9th generation), 2× NVDEC (6th generation), AV1 support
• Video outputs: 4× mini DisplayPort 2.1b (up to 8K/240 Hz, HDR, 10-bit)
• Power consumption: 70 W (powered from PCIe slot, no external connector required)
• Cooling: active (blower), half-height form factor, dual-slot — 167×69 mm, 2 slots, weight ~0.6 kg
• Software support: vGPU / NVIDIA AI Enterprise (MIG not provided)

Where this SFF version is particularly strong

The compact accelerator covers scenarios where full-size cards are excessive in terms of dimensions and thermal envelope. In architecture and production visualisation, the card confidently renders scenes with ray tracing, and in AI workflows — accelerates inference and image/video generation, and in broadcasting tasks — offloads the CPU with hardware encoding of AV1/HEVC/H.264. Thanks to PCIe Gen5 x8 and ECC memory, it ensures stable operation during long sessions of fine-tuning models and preparing media content.

With a 70W TDP, the accelerator fits easily into SFF cases with limited power and ventilation, and the blower system directs airflow along the case without overheating adjacent slots.

Practical difference: RTX PRO 4000 SFF vs RTX PRO 4000 (full-size) and RTX 4000 Ada

• Compared to RTX PRO 4000 (full-size, 24 GB): The SFF version is almost twice as economical (70 W vs. 140 W), shorter (167 mm vs. 241 mm), uses PCIe x8 instead of x16, and has lower memory bandwidth (432 vs. 672 GB/s). In other words, this is an option for compact cases and office power grids without losing the modern set of blocks (CUDA/Tensor/RT).
• Compared to RTX 4000 Ada: Blackwell brings 5th generation Tensor cores and improved RT blocks, which provides fast LLM inference and more stable ray tracing at the same 70-watt budget; additionally, GDDR7 with ECC and miniDP 2.1b for 8K/240 Hz.
  

  Who is the RTX PRO 4000 SFF Blackwell suitable for?

  • Engineering and architecture firms where CAD/BIM, real-time rendering, and a limited workstation form factor are important.
  • Media departments and production: multi-threaded encoding/transcoding with 2× NVENC and hardware AV1, 8K HDR preview on professional panels.
  • Data science and MLOps teams that need stable inference and experiments with generative AI in SFF nodes with vGPU support.

  Why choose this model?

  • Compact and quiet: half-height, 2 slots, blower — convenient in SFF cases and 2U/4U chassis.
  • Enterprise-level stability: ECC memory, RTX Enterprise drivers, vGPU / AI Enterprise support.
  • Modern image: 4× miniDP 2.1b with 10-bit HDR and frequencies up to 240 Hz at 8K.
  • Infrastructure savings: 70W — often enough power from the slot; no need for a reinforced PSU and extra cables.

  How to buy RTX PRO 4000 SFF Blackwell

  Place your order for the Nvidia RTX PRO 4000 SFF Blackwell 24GB with us: direct delivery from the US, 3-year warranty, Any form of payment: card, bank transfer (w/ex VAT), USDT cryptocurrency.

  Need help choosing a case/power supply and software compatibility? We will advise you on the configuration and prepare a quote for your tasks.