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NVIDIA GB10 Grace Blackwell (128GB) - DGX Spark

The NVIDIA GB10 Grace Blackwell (128GB) - DGX Spark features 128 GB of dedicated VRAM and 273 GB/s memory bandwidth, supporting CUDA and TensorRT-LLM runtimes for full-precision and quantized inference.

Memory

128 GB

Usable Memory Ceiling

128 GB

Bandwidth

273.2 GB/s

Max Inference Class

70B+ Models (Q4)

TDP

140W

VRAM Scaling by Context Length

Estimated memory requirements as context length increases. Curves crossing above the reference line indicate Out of Memory (OOM).

DeepSeek-R1 14B (14B)OLMo 3.1 32B Instruct (32B)GLM-4.5-Air (106B (12B active))Llama 3.1 405B (405B)

Precision:

Best Models to Run on NVIDIA GB10 Grace Blackwell (128GB) - DGX Spark

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on NVIDIA GB10 Grace Blackwell (128GB) - DGX Spark.

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#33

Qwen 3.8 27B

27B

INT4
Q8
FP16

14 tok/s

8 tok/s

4 tok/s

~2.0s

~2.1s

~2.2s

#41

Qwen 3.8 Flash

176B (6B active)

INT4

59 tok/s

~440 ms

#48

Agnes 3.0 Flash

33B

INT4
Q8
FP16

12 tok/s

7 tok/s

3 tok/s

~2.5s

~2.5s

~2.7s

#61

Sarvam-105B

106B (10.3B active)

INT4
Q8

35 tok/s

19 tok/s

~1.0s

~1.1s

#72

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

64 tok/s

43 tok/s

25 tok/s

~400 ms

~408 ms

~425 ms

#75

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8

57 tok/s

32 tok/s

~731 ms

~869 ms

#83

Qwen3.5-27B

27B

INT4
Q8
FP16

14 tok/s

8 tok/s

4 tok/s

~2.0s

~2.1s

~2.2s

#84

Qwen3.5-122B-A10B

122B (10B active)

INT4
Q8

27 tok/s

16 tok/s

~1.1s

~1.3s

#92

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

85 tok/s

62 tok/s

38 tok/s

~281 ms

~285 ms

~296 ms

#94

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

76 tok/s

53 tok/s

31 tok/s

~327 ms

~332 ms

~345 ms

#96

Muse Glimmer 30B

30B

INT4
Q8
FP16

13 tok/s

7 tok/s

4 tok/s

~2.2s

~2.3s

~2.4s

#100

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

19 tok/s

13 tok/s

7 tok/s

~1.1s

~1.1s

~1.2s

#101

MiMo V2 Flash

15B (309B active)

INT4
Q8
FP16

1 tok/s

1 tok/s

1 tok/s

~22.1s

~22.7s

~24.0s

#106

GLM-4.5-Air

106B (12B active)

INT4
Q8

9 tok/s

7 tok/s

~1.2s

~1.5s

#108

Gemma 4 26B A4B

25.2B (3.8B active)

INT4
Q8
FP16

69 tok/s

46 tok/s

26 tok/s

~367 ms

~374 ms

~390 ms

#109

Gemma 4 12B

11.95B

INT4
Q8
FP16

22 tok/s

15 tok/s

8 tok/s

~926 ms

~948 ms

~1.0s

#113

Qwen3.5-9B

9B

INT4
Q8
FP16

40 tok/s

23 tok/s

12 tok/s

~693 ms

~710 ms

~749 ms

#114

Qwen3.5-35B-A3B

35B (3B active)

INT4
Q8
FP16

76 tok/s

53 tok/s

31 tok/s

~327 ms

~332 ms

~345 ms

#114

Ling 3.0 Flash

124B (5.1B active)

INT4
Q8

60 tok/s

34 tok/s

~702 ms

~835 ms

#118

K2 Horizon 7B

7B

INT4
Q8
FP16

49 tok/s

29 tok/s

16 tok/s

~543 ms

~557 ms

~587 ms

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

70B+ Models

8-bit

Q8

70B Models

16-bit

FP16

32B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

70B+ Models

LoRA

16-bit

70B Models

Full Parameter Training

7B-8B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on NVIDIA GB10 Grace Blackwell (128GB) - DGX Spark.

Inference Sweet Spot

Suitable for 70B parameter models at Q4/Q8 with extended 32k context windows, or high-throughput batching of smaller dense architectures.

Bandwidth & Speed Profile

With 273.2 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 61 tok/s on an 8B Q4 model and 7 tok/s on a 70B Q4 model.

Frequently Asked Questions