NVIDIA RTX 6000 Ada vs NVIDIA RTX A6000
Side-by-side local AI comparison — VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 70 open-weight models.
Quick verdict
NVIDIA RTX 6000 Ada wins for local AI inference. It has 25% more memory bandwidth, runs 53 models natively (vs 53), and exclusively fits 0 models the other cannot.
Specs comparison
| Spec | NVIDIA RTX 6000 Ada | NVIDIA RTX A6000 |
|---|---|---|
| VRAM | 48 GB | 48 GB |
| Memory type | GDDR6 | GDDR6 |
| Bandwidth | 960 GB/s(+25%) | 768 GB/s |
| Architecture | Ada Lovelace | Ampere |
| Backend | CUDA | CUDA |
| Tier | Workstation | Workstation |
| Released | 2022 | 2020 |
| Models (native) | 53 | 53 |
Estimated tokens per second
Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.
| Model | NVIDIA RTX 6000 Ada | NVIDIA RTX A6000 | Delta |
|---|---|---|---|
| Llama 3.3 70B Instruct(70B) | 27.4 t/s(Q4_K_M) | 21.9 t/s(Q4_K_M) | +25% |
| Qwen 3.6 27B(27B) | 35.6 t/s(Q8) | 28.4 t/s(Q8) | +25% |
| Llama 3.1 8B Instruct(8B) | 60 t/s(FP16) | 48 t/s(FP16) | +25% |
| Qwen 2.5 7B Instruct(7.6B) | 63.2 t/s(FP16) | 50.5 t/s(FP16) | +25% |
Delta is NVIDIA RTX 6000 Ada relative to NVIDIA RTX A6000.
Only NVIDIA RTX 6000 Ada can run(0)
No exclusive models — NVIDIA RTX A6000 can run everything NVIDIA RTX 6000 Ada can.
Only NVIDIA RTX A6000 can run(0)
No exclusive models — NVIDIA RTX 6000 Ada can run everything NVIDIA RTX A6000 can.
Both run natively(53)
These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.
- Qwen 3.5 122B-A10B (MoE)352 t/svs281.6 t/s
- Nemotron 3 Super 120B293.3 t/svs234.7 t/s
- GPT-OSS 120B704 t/svs563.2 t/s
- Llama 4 Scout 109B207.1 t/svs165.6 t/s
- GLM-4.5 Air 106B293.3 t/svs234.7 t/s
- GLM-4.6V 106B293.3 t/svs234.7 t/s
- Qwen 2.5 72B Instruct26.7 t/svs21.3 t/s
- Llama 3.3 70B Instruct27.4 t/svs21.9 t/s
- DeepSeek R1 Distill Llama 70B27.4 t/svs21.9 t/s
- Llama 3.1 70B Instruct27.4 t/svs21.9 t/s
- Mixtral 8x7B Instruct v0.1109.1 t/svs87.3 t/s
- Command-R 35B36.6 t/svs29.3 t/s
- Qwen 3.5 35B-A3B (MoE)352 t/svs281.6 t/s
- Qwen 3.6 35B27.4 t/svs21.9 t/s
- Yi 1.5 34B Chat27.9 t/svs22.3 t/s
- Qwen3 32B29.3 t/svs23.4 t/s
- +37 more on both
Which should you choose?
Choose NVIDIA RTX 6000 Ada if:
- • Faster token generation is the priority
- • You want the newer architecture and longer driver support lifecycle
Choose NVIDIA RTX A6000 if:
Frequently asked questions
- Which is better for local AI, the NVIDIA RTX 6000 Ada or NVIDIA RTX A6000?
- For local AI inference, the NVIDIA RTX 6000 Ada has the edge. It offers 48 GB VRAM (vs 48 GB) and 960 GB/s bandwidth (vs 768 GB/s), letting it run 53 models natively in VRAM vs 53 for its rival.
- How much VRAM does the NVIDIA RTX 6000 Ada have vs the NVIDIA RTX A6000?
- The NVIDIA RTX 6000 Ada has 48 GB of GDDR6 at 960 GB/s. The NVIDIA RTX A6000 has 48 GB of GDDR6 at 768 GB/s. Both GPUs have the same VRAM amount; bandwidth determines which generates tokens faster.
- Can the NVIDIA RTX 6000 Ada run Llama 3.3 70B?
- Yes. The NVIDIA RTX 6000 Ada runs Llama 3.3 70B natively at Q4_K_M quantization at approximately 27.4 tokens per second.
- Can the NVIDIA RTX A6000 run Llama 3.3 70B?
- Yes. The NVIDIA RTX A6000 runs Llama 3.3 70B natively at Q4_K_M quantization at approximately 21.9 tokens per second.
- What is the difference between the NVIDIA RTX 6000 Ada and NVIDIA RTX A6000 for AI?
- The key difference for AI inference is VRAM and memory bandwidth. The NVIDIA RTX 6000 Ada has 48 GB VRAM at 960 GB/s (CUDA backend). The NVIDIA RTX A6000 has 48 GB VRAM at 768 GB/s (CUDA backend). VRAM determines which models fit; bandwidth determines tokens per second. The NVIDIA RTX 6000 Ada runs 53 models natively vs 53 for the NVIDIA RTX A6000.