Can Command R+ 104B run on RTX PRO 6000 Blackwell Server Edition 96GB?

YES — Runs Great

B70Good

Estimated from fit model

Command R+ 104B needs ~77.4 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~23 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 77.4 GB, 23.0 tok/s, Runs well

77.4 GB required96.0 GB available

81% VRAM used

Fit status

Runs well

Decode

23.0 tok/s

TTFT

8419 ms

Safe context

103K

Memory

77.4 GB / 96.0 GB

Memory breakdown

Weights63.4 GB

KV Cache3.4 GB

Runtime0.9 GB

Headroom9.6 GB

See how fast it feels

See how fast it feelsCommand R+ 104B on RTX PRO 6000 Blackwell Server Edition 96GB
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: 23.0 tok/s decode · 8.4s TTFT (warm) · 58 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	B	Runs well	23.0 tok/s	4592 ms	103K
Coding	B	Runs well	23.0 tok/s	8419 ms	103K
Agentic Coding	B	Tight fit	23.0 tok/s	12246 ms	103K
Reasoning	B	Runs well	23.0 tok/s	9950 ms	103K
RAG	B	Tight fit	23.0 tok/s	15307 ms	103K

Inference speed

Command R+ 104B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Command R+ 104B at Q4_K_M across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is MacBook Pro M4 Max 128GB at ~10 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / Mac	Memory	Quant	Speed (tok/s)	Fits?
MacBook Pro M4 Max 128GB	128 GB	Q4_K_M	10.3	Tight
Mac Studio M3 Ultra 256GB	256 GB	Q4_K_M	9.5	Fits
Mac Studio M2 Ultra 128GB	128 GB	Q4_K_M	8.0	Tight
Mac Studio M1 Ultra 128GB	128 GB	Q4_K_M	7.5	Tight
2× RX 7900 XTX 24GB	48 GB	Q4_K_M	6.3	Too big
MacBook Pro M4 Max 64GB	64 GB	Q4_K_M	5.5	Too big
2× RTX 4090 24GB	48 GB	Q4_K_M	4.4	Too big
2× RTX 3090 24GB	48 GB	Q4_K_M	3.8	Too big
4× RTX 3060 12GB	48 GB	Q4_K_M	3.3	Too big
MacBook Pro M4 Pro 48GB	48 GB	Q4_K_M	2.9	Too big
MacBook Pro M3 Max 64GB	64 GB	Q4_K_M	2.2	Too big
RTX 5090 32GB	32 GB	Q4_K_M	2.0	Too big
RTX 4090 24GB	24 GB	Q4_K_M	2.0	Too big
RTX 4080 Super 16GB	16 GB	Q4_K_M	2.0	Too big
RTX 3090 24GB	24 GB	Q4_K_M	2.0	Too big
RTX 4070 12GB	12 GB	Q4_K_M	2.0	Too big
RTX 3060 12GB	12 GB	Q4_K_M	2.0	Too big
RTX 4060 8GB	8 GB	Q4_K_M	2.0	Too big
RX 7900 XTX 24GB	24 GB	Q4_K_M	2.0	Too big
MacBook Pro M1 Max 64GB	64 GB	Q4_K_M	2.0	Too big

Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.

Quantization options

How Command R+ 104B (104B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	40.6 GB	Low	B63
Q3_K_S	3	51.0 GB	Low	B65
NVFP4	4	58.2 GB	Medium	B65
Q4_K_M	4	63.4 GB	Medium	B65
Q5_K_MBest for your GPU	5	74.9 GB	High	B65
Q6_K	6	85.3 GB	High	F0
Q8_0	8	111.3 GB	Very High	F0
F16	16	213.2 GB	Maximum	F0

Get started

Copy-paste commands to run Command R+ 104B on your machine.

Run

ollama run command-r-plus

Upgrade-Optionen

Hardware, die Command R+ 104B gut ausführt

NVIDIA H200 141GBGünstige Wahl

141 GB VRAM (+45)4800 GB/s (+3203)

Raises estimated decode speed by about 200%.69.1 tok/s Dekodierung

Raises estimated decode speed by about 200%.

Adds memory headroom for longer context windows and future model growth.

ca. $30,000 MSRP

NVIDIA H200 PCIe 141GBBestes Preis-Leistungs-Verhältnis

141 GB VRAM (+45)4800 GB/s (+3203)

Raises estimated decode speed by about 200%.69.1 tok/s Dekodierung

Raises estimated decode speed by about 200%.

Adds memory headroom for longer context windows and future model growth.

ca. $30,000 MSRP

Frequently asked questions

Can RTX PRO 6000 Blackwell Server Edition 96GB run Command R+ 104B?

Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Command R+ 104B with a B grade (Runs well). Expected decode speed: 23.0 tok/s.

How much VRAM does Command R+ 104B need?

Command R+ 104B (104B parameters) requires approximately 77.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Command R+ 104B?

The recommended quantization for Command R+ 104B is Q4_K_M, which balances quality and memory efficiency.

What speed will Command R+ 104B run at on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, Command R+ 104B achieves approximately 23.0 tokens per second decode speed with a time-to-first-token of 8419ms using Q4_K_M quantization.

Can RTX PRO 6000 Blackwell Server Edition 96GB run Command R+ 104B for coding?

For coding workloads, Command R+ 104B on RTX PRO 6000 Blackwell Server Edition 96GB receives a B grade with 23.0 tok/s and 103K context.

What context window can Command R+ 104B use on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, Command R+ 104B can safely use up to 103K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX PRO 6000 Blackwell Server Edition 96GB See all hardware for Command R+ 104B

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