NVIDIA RTX 6000 Ada Generation rental: early access
Ada Lovelace · Workstation (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 6000 Ada
Request RTX 6000 AdaWe’ll reply with terms for your workload. Nothing to pay before the contract.
Estimate usage- Memory per GPU
- 48 GB GDDR6
- Memory bandwidth
- 0.96 TB/s
- GPU interconnect
- PCIe 4, no NVLink
NVIDIA RTX 6000 Ada Generation specifications
- Architecture
- Ada Lovelace
- Announced
- 2022
- Memory
- 48 GB
- Memory type
- GDDR6
- Memory bandwidth
- 0.96 TB/s
- FP32
- 91.1 TFLOPS
- FP16/BF16, dense
- 364 TFLOPS
- FP8, dense
- 728.5 TFLOPS
- FP4, dense
- none
- FP64
- not in NVIDIA’s card specsNVIDIA’s whitepaper gives FP64 on the AD102 chip as 1/64 of FP32.
- RT cores
- yes
- NVENC/NVDEC
- NVENC 3, NVDEC 3
- MIG
- none
- GPU interconnect
- PCIe 4, no NVLink
- Power (TDP/TGP)
- 300 W
- Form factor
- Workstation (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.
The RTX 6000 Ada form factor is still being confirmed. Specs from NVIDIA’s official materials, checked 26 September 2026.
The RTX 6000 Ada by workload
- Inference: LLMs up to 32B in FP8 on one GPU
- Fine-tuning: QLoRA up to 32B, LoRA up to 14B on one GPU
- Training from scratch: models up to 1B on one GPU
- Rendering: scenes up to 32 GB
- FP64 computing: not suited to this GPU
An estimate from open formulas, not a benchmark or an invoice.
Servers with the NVIDIA RTX 6000 Ada Generation
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 6000 Ada Generation Datasheet (opens in a new tab)
- NVIDIA RTX 6000 Ada Generation (opens in a new tab)
- NVIDIA RTX PRO Blackwell GPU Architecture (v1.1), Table 4 (opens in a new tab)
- NVIDIA Ada GPU Architecture (v2.02) (opens in a new tab)
- NVIDIA Video Encode and Decode Support Matrix (opens in a new tab)
- NVIDIA Newsroom, September 20, 2022 (opens in a new tab)
Similar GPUs
- NVIDIA RTX A6000
48 GB GDDR6 · 0.77 TB/s · NVLink bridge
RTX 6000 Ada leads on 3 of 4 metrics. RTX 6000 Ada has more FP32 (91.1 vs 38.7 TFLOPS) and FP16/BF16 (364 vs 154.8 TFLOPS). Equal: memory size.
- NVIDIA L40S
48 GB GDDR6 · 0.86 TB/s · PCIe 4
RTX 6000 Ada leads on 1 of 5 metrics. RTX 6000 Ada has more memory bandwidth (0.96 vs 0.86 TB/s). Equal: memory size. Nearly equal (under 1% apart): FP32, FP16/BF16, FP8.
We’ll reply with terms for your workload. Nothing to pay before the contract.