96 GB VRAM (+32)1792 GB/s (+1192)
A
Raises estimated decode speed by about 222%.38.3 tok/s decode
Raises estimated decode speed by about 222%.
Adds memory headroom for longer context windows and future model growth.
~$9,999 MSRP
Can Nemotron 70B run on NVIDIA A16 64GB?
YES — Tight Fit
B69Good
○Estimated from fit model
Nemotron 70B needs ~54.9 GB VRAM. NVIDIA A16 64GB has 64.0 GB. With Q4_K_M quantization, expect ~11 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: Balanced
Share:
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Q4_K_M (Medium quality) — 54.9 GB, 11.9 tok/s, Tight fit
54.9 GB required64.0 GB available
86% VRAM used
Fit status
Tight fit
Decode
11.9 tok/s
TTFT
16243 ms
Safe context
46K
Memory
54.9 GB / 64.0 GB
Memory breakdown
Weights42.7 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom6.4 GB
See how fast it feels
See how fast it feelsNemotron 70B on NVIDIA A16 64GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 11.9 tok/s decode · 16.2s TTFT (warm) · 30 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 11.0 tok/s | 9635 ms | 46K |
| Coding | B | Tight fit | 11.0 tok/s | 17664 ms | 46K |
| Agentic Coding | B | Tight fit | 11.0 tok/s | 25693 ms | 46K |
| Reasoning | B | Tight fit | 11.0 tok/s | 20876 ms | 46K |
| RAG | B | Tight fit | 11.0 tok/s | 32116 ms | 46K |
Quantization options
How Nemotron 70B (70B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | B68 |
Q3_K_S | 3 | 34.3 GB | Low | B69 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Nemotron 70B on your machine.
Run
ollama run nemotronUpgrade options
Hardware that runs Nemotron 70B well
96 GB VRAM (+32)1597 GB/s (+997)
A
Raises estimated decode speed by about 187%.34.2 tok/s decode
Raises estimated decode speed by about 187%.
Adds memory headroom for longer context windows and future model growth.
~$9,999 MSRP
96 GB VRAM (+32)4000 GB/s (+3400)
A
Raises estimated decode speed by about 593%.82.5 tok/s decode
Raises estimated decode speed by about 593%.
Adds memory headroom for longer context windows and future model growth.
~$12,000 MSRP