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Can I run Nemotron 3.5 Bolt E4B on Nvidia GeForce RTX 5080 (16GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~85 tok/s est.

Yes. Nemotron 3.5 Bolt E4B runs on Nvidia GeForce RTX 5080 (16GB) at Q4_K_M (~8.9 GB of ~15 GB usable).

Needs ~8.9 GB Device usable ~15 GB

Runs at Q4_K_M using ~8.9 GB of ~15 GB usable. You have room for Q8_0 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Nvidia GeForce RTX 5080 (16GB) leaves ~6.1 GB of headroom, room to step up to Q8_0 for higher quality.

Q4_K_M needed
~8.9 GB
Usable on device
~15 GB
Device memory
16 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~15 GB usable
Q2_K
~4.9 GB
Q3_K_M
~5.4 GB
Q4_K_M
~8.9 GB
Q5_K_M
~7.2 GB
Q6_K
~8.1 GB
Q8_0
~10.6 GB
FP16
~17.1 GB
The line marks Nvidia GeForce RTX 5080 (16GB)'s ~15 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~360 W
Electricity / 1M tokens
~$0.18
Pays for itself after
~3,122M tok

At ~$0.15/kWh and the estimated ~85 tok/s, a million generated tokens costs about $0.18 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$999 Nvidia GeForce RTX 5080 (16GB) pays for itself after roughly 3,122 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Loads the Q4_K_M weights.

Ollama
$ ollama run nemotron-3.5-bolt:e4b-q4_K_M
Model Nemotron
Parameters
8B
Q4_K_M size
7.37 GB
Q8_0 size
9.09 GB
Context
64k
Ollama tag
nemotron-3.5-bolt:e4b-q4_K_M
Full Nemotron 3.5 Bolt E4B requirements →
Device Windows
Memory
16 GB vram
Usable for weights
~15 GB
Power draw
~360 W
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 5080 (16GB) →

You could also run

Run Nemotron 3.5 Bolt E4B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Nvidia GeForce RTX 5070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)

FAQ

Can Nvidia GeForce RTX 5080 (16GB) run Nemotron 3.5 Bolt E4B?

Yes. Nemotron 3.5 Bolt E4B runs on Nvidia GeForce RTX 5080 (16GB) at Q4_K_M (~8.9 GB of ~15 GB usable).

How much memory does Nemotron 3.5 Bolt E4B need?

Nvidia GeForce RTX 5080 (16GB) has room to spare. At Q4_K_M the weights are ~7.37 GB; with KV cache and runtime overhead, budget ~8.9 GB at a 4k context.

What is the best tool to run Nemotron 3.5 Bolt E4B on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Nemotron 3.5 Bolt E4B on Nvidia GeForce RTX 5080 (16GB) compatibility badge A live badge for your model card or README, updated as the data is.
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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.