Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$1,499 MSRP
Nemotron Cascade 2 30B A3B needs ~23.5 GB but RTX 2080 Ti 11GB only has 11.0 GB. Try a smaller quantization or lighter model.
Operating mode
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
12.5 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
9.3 tok/s
TTFT
20852 ms
Safe context
4K
Memory
23.5 GB / 11.0 GB
Offload
50%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 23.5 GB, but this setup only exposes 11.0 GB of usable VRAM.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
Add more VRAM headroom
The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 9.8 tok/s | 10787 ms | 4K |
| Coding | F | Too heavy | 9.3 tok/s | 20852 ms | 4K |
| Agentic Coding | F | Too heavy | 9.3 tok/s | 30330 ms | 4K |
| Reasoning | F | Too heavy | 9.3 tok/s | 24643 ms | 4K |
| RAG | F | Too heavy | 9.3 tok/s | 37913 ms | 4K |
How Nemotron Cascade 2 30B A3B (30B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | F0 |
Q3_K_S | 3 | 14.7 GB | Low | F0 |
NVFP4 | 4 | 16.8 GB | Medium | F0 |
Q4_K_M | 4 | 18.3 GB | Medium | F0 |
Q5_K_M | 5 | 21.6 GB | High | F0 |
Q6_K | 6 | 24.6 GB | High | F0 |
Q8_0 | 8 | 32.1 GB | Very High | F0 |
F16 | 16 | 61.5 GB | Maximum | F0 |
Opciones de mejora
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$1,499 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$1,599 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$1,599 MSRP
No, Nemotron Cascade 2 30B A3B requires more memory than RTX 2080 Ti 11GB provides.
Nemotron Cascade 2 30B A3B (30B parameters) requires approximately 23.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Cascade 2 30B A3B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2080 Ti 11GB, Nemotron Cascade 2 30B A3B achieves approximately 9.3 tokens per second decode speed with a time-to-first-token of 20852ms using Q4_K_M quantization.
For coding workloads, Nemotron Cascade 2 30B A3B on RTX 2080 Ti 11GB receives a F grade with 9.3 tok/s and 4K context.
On RTX 2080 Ti 11GB, Nemotron Cascade 2 30B A3B can safely use up to 4K tokens of context. The model's official context limit is 262K, but available memory constrains the safe maximum.
Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
Paste this snippet into any page to show a live fit card.
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