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 6000We’ll reply with terms for your workload. Nothing to pay before the contract.
Estimate usage- 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 TFLOPSDerived: 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 specsNVIDIA’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 (opens in a new tab), RTX PRO 6000 Blackwell Max-Q Workstation Edition (opens in a new tab)
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 clusterSources
- NVIDIA RTX PRO 6000 Blackwell Server Edition Datasheet (opens in a new tab)
- NVIDIA RTX PRO 6000 Blackwell Server Edition (opens in a new tab)
- NVIDIA RTX PRO 6000 Blackwell Server Edition Product Brief (opens in a new tab)
- NVIDIA RTX PRO Blackwell GPU Architecture (v1.1) (opens in a new tab)
- NVIDIA Video Encode and Decode Support Matrix (opens in a new tab)
- NVIDIA Newsroom, March 18, 2025 (opens in a new tab)
Similar GPUs
- NVIDIA 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
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
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.
We’ll reply with terms for your workload. Nothing to pay before the contract.