--- title: "RTX PRO 6000 rental in Uzbekistan: early access | UZ Dynamics" description: "NVIDIA RTX PRO 6000: early access by request; availability, form factor pending. 96 GB GDDR7 · 1.6 TB/s · PCIe 5. LLMs up to 70B in FP8 on one GPU (estimate)." url: "https://uzdynamics.ai/en/gpus/rtx-pro-6000" lang: "en" image: "https://uzdynamics.ai/en/gpus/rtx-pro-6000/opengraph-image/card?f08c4f789845417d" alternates: ru: "https://uzdynamics.ai/ru/gpus/rtx-pro-6000" uz: "https://uzdynamics.ai/uz/gpus/rtx-pro-6000" en: "https://uzdynamics.ai/en/gpus/rtx-pro-6000" --- > For an index of this site's pages, see [llms.txt](https://uzdynamics.ai/llms.txt). A markdown copy of each page is at its address with `.md` appended. # NVIDIA RTX PRO 6000 Blackwell rental: early access Blackwell · Server Edition (being confirmed) We’re collecting early-access requests. We’re placing our capacity in Uzbekistan. We don’t publish prices yet. We’ll confirm availability in our reply. RTX PRO 6000 [Request RTX PRO 6000](https://uzdynamics.ai/en/request?source=gpu-page%3Artx-pro-6000&gpu=rtx-pro-6000) We’ll reply with terms for your workload. Nothing to pay before the contract. - **Memory per GPU:** 96 GB GDDR7 - **Memory bandwidth:** 1.6 TB/s - **GPU interconnect:** PCIe 5, no NVLink ## NVIDIA RTX PRO 6000 Blackwell specifications - **Architecture:** Blackwell - **Announced:** 2025 - **Memory:** 96 GB - **Memory type:** GDDR7 - **Memory bandwidth:** 1.6 TB/s - **FP32:** 120 TFLOPS - **FP16/BF16, dense:** 467.8 TFLOPS - **FP8, dense:** 935.6 TFLOPS - **FP4, dense:** 1,871.2 TFLOPS Derived: NVIDIA’s whitepaper per-SM Tensor Core rate × the 2,430 MHz boost clock in the product brief. For the Server Edition, NVIDIA gives FP16/FP8/FP4 only as rounded 1/2/4 PFLOPS peaks, the level of sparse figures; it publishes no dense ones. - **FP64:** not in NVIDIA’s card specs NVIDIA’s whitepaper gives FP64 on the GB202 chip as 1/64 of FP32. - **RT cores:** yes - **NVENC/NVDEC:** NVENC 4, NVDEC 4 - **MIG:** up to 4 instances - **GPU interconnect:** PCIe 5, no NVLink - **Power (TDP/TGP):** up to 600 W - **Form factor:** Server Edition (being confirmed) Memory is specified per GPU. Multiple GPUs have separate memory: using a larger model across them requires compatible software and model partitioning. NVLink does not make them one GPU. Other variants: [RTX PRO 6000 Blackwell Workstation Edition](https://www.nvidia.com/content/dam/en-zz/Solutions/data-center/rtx-pro-6000-blackwell-workstation-edition/workstation-blackwell-rtx-pro-6000-workstation-edition-nvidia-us-3519208-web.pdf), [RTX PRO 6000 Blackwell Max-Q Workstation Edition](https://www.nvidia.com/content/dam/en-zz/Solutions/products/workstations/professional-desktop-gpus/rtx-pro-6000-max-q/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-3519233.pdf) The RTX PRO 6000 form factor is still being confirmed; memory bandwidth and other specifications depend on it. Specs from NVIDIA’s official materials, checked 26 September 2026. ## The RTX PRO 6000 by workload - Inference: LLMs up to 70B in FP8 on one GPU - Fine-tuning: QLoRA up to 123B, LoRA up to 32B on one GPU - Training from scratch: models up to 3B on one GPU - Rendering: scenes up to 64 GB - FP64 computing: not suited to this GPU An estimate from open formulas, not a benchmark or an invoice. ## Servers with the NVIDIA RTX PRO 6000 Blackwell Server configuration (CPU, RAM, disk, network) is being confirmed. Sizing assumption: up to 8 GPUs per server. We’ll confirm the actual configuration in our reply. [More than 8 GPUs? Discuss a cluster](https://uzdynamics.ai/en/enterprise?source=gpu-page-cluster%3Artx-pro-6000&gpu=rtx-pro-6000&count=more) ## Sources - [NVIDIA RTX PRO 6000 Blackwell Server Edition Datasheet](https://dam-cdn.nvd.orangelogic.com/AssetLink/707m1632ypg4du1fj3ci1jo3h4w1k78j.pdf) - [NVIDIA RTX PRO 6000 Blackwell Server Edition](https://www.nvidia.com/en-us/data-center/rtx-pro-6000-blackwell-server-edition/) - [NVIDIA RTX PRO 6000 Blackwell Server Edition Product Brief](https://dam-cdn.nvd.orangelogic.com/AssetLink/3km2720jiy76r06ctf8mxg21743p1058.pdf) - [NVIDIA RTX PRO Blackwell GPU Architecture (v1.1)](https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/pdf/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1_1.pdf) - [NVIDIA Video Encode and Decode Support Matrix](https://developer.nvidia.com/video-encode-decode-support-matrix) - [NVIDIA Newsroom, March 18, 2025](https://nvidianews.nvidia.com/news/nvidia-blackwell-rtx-pro-workstations-servers-agentic-ai) ## Similar GPUs - [NVIDIA H200](https://uzdynamics.ai/en/gpus/h200) 141 GB HBM3e · 4.8 TB/s · NVLink H200 leads on 4 of 5 metrics, RTX PRO 6000 on 1. H200 has more memory bandwidth (4.8 vs 1.6 TB/s) and FP8 (1,978.9 vs 935.6 TFLOPS). But RTX PRO 6000 has more FP32 (120 vs 67 TFLOPS). FP64: 34 TFLOPS on H200; not in NVIDIA’s card specs for RTX PRO 6000 (NVIDIA’s whitepaper gives 1/64 of FP32 for the GB202 chip). - [NVIDIA B200](https://uzdynamics.ai/en/gpus/b200) 180 GB HBM3e · 7.7 TB/s · NVLink B200 leads on 5 of 6 metrics, RTX PRO 6000 on 1. B200 has more memory bandwidth (7.7 vs 1.6 TB/s) and FP16/BF16 (2,250 vs 467.8 TFLOPS). But RTX PRO 6000 has more FP32 (120 vs 75 TFLOPS). FP64: 37 TFLOPS on B200; not in NVIDIA’s card specs for RTX PRO 6000 (NVIDIA’s whitepaper gives 1/64 of FP32 for the GB202 chip). - [NVIDIA B300](https://uzdynamics.ai/en/gpus/b300) 270 GB HBM3e · 7.7 TB/s · NVLink B300 leads on 5 of 6 metrics, RTX PRO 6000 on 1. B300 has more FP4 (14,000 vs 1,871.2 TFLOPS) and memory bandwidth (7.7 vs 1.6 TB/s). But RTX PRO 6000 has more FP32 (120 vs 75 TFLOPS). Dense FP16/BF16 and FP8 from the H100 SXM5 column of NVIDIA’s whitepaper: for the H200, NVIDIA lists only with-sparsity figures, the same as the H100 SXM’s. The RTX PRO 6000’s FP16, FP8 and FP4 are derived figures. Derived: NVIDIA’s whitepaper per-SM Tensor Core rate × the 2,430 MHz boost clock in the product brief. For the Server Edition, NVIDIA gives FP16/FP8/FP4 only as rounded 1/2/4 PFLOPS peaks, the level of sparse figures; it publishes no dense ones. ## All GPUs in the catalogue - [B300](https://uzdynamics.ai/en/gpus/b300) - [B200](https://uzdynamics.ai/en/gpus/b200) - [H200](https://uzdynamics.ai/en/gpus/h200) - [H100](https://uzdynamics.ai/en/gpus/h100) - [A100](https://uzdynamics.ai/en/gpus/a100) - [L40S](https://uzdynamics.ai/en/gpus/l40s) - [L4](https://uzdynamics.ai/en/gpus/l4) - [RTX 6000 Ada](https://uzdynamics.ai/en/gpus/rtx-6000-ada) - [RTX A6000](https://uzdynamics.ai/en/gpus/rtx-a6000) - [RTX A5000](https://uzdynamics.ai/en/gpus/rtx-a5000) [Request RTX PRO 6000](https://uzdynamics.ai/en/request?source=gpu-page-end%3Artx-pro-6000&gpu=rtx-pro-6000) We’ll reply with terms for your workload. 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