~/gpu/dgx-spark
nvidia manufacturer

DGX Spark 128GB

128GB unified Grace-Blackwell. Desktop form factor. Runs 70B at FP16 or 200B at Q5.

VRAM
128GB
Bandwidth
273GB/s
FP16 compute
1000TFLOPS
Budget @ ctx 8K
102GB

Tuned to this card.

$ ./vrambudget --gpu dgx-spark
$ vrambudget --gpu dgx-spark --ctx 8192 --conc 1 --safety 15%↗ tweetlive
hopper
H100 80GB
80GB
hopper
H200
141GB
blackwell
B200
192GB
grace blackwell
DGX Spark
128GB
multi-gpu
2× H100 NVL
188GB
128GB
64GB
8Ktok
128GB
device capacity
0.05GB
0.0% of total
2.5GB
2.0% of total
106GB
83% of total
$ budget allocation109 / 128 GB used
weightskv cacheoverheadsafety
↳ sorted by best fit
fitscomfortably runs on this budget27 models
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
97 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
96 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
104 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
77 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
75 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
93 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
70 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
68 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
65 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
65 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
61 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
54 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
52 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
48 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
42 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
30 GB
fits
Phi-414.7B
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
29 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
18 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
18 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
16 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
16 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
14 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
14 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
8.0 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
7.6 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
6.4 GB
fits
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
2.5 GB
fits
overneeds a bigger card, more aggressive quant, or model split3 models
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
228 GB
over
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
377 GB
over
FP16/BF16FP8/INT8Q8_0Q6_KQ5_K_MQ4_K_MQ3_K_MAWQ 4-bitGPTQ 4-bit
377 GB
over

Models that fit on a DGX Spark.

$ grep "fits" models.json | head -12
ModelParamsBest quantWeights / 102 GB budgetFit
Mixtral 8x22B141BQ5_K_M
97
fits
▸ show the math
// weights Q5_K_M for Mixtral 8x22B (141B params)
weights = params × bits ÷ 8
        = 141 × 5.5 ÷ 8
        = 96.94 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
96.94 ≤ 106.25  → FITS
headroom  = 9.31 GB of weights budget left
gpt-oss 120B117BQ6_K
96
fits
▸ show the math
// weights Q6_K for gpt-oss 120B (117B params)
weights = params × bits ÷ 8
        = 117 × 6.56 ÷ 8
        = 95.94 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
95.94 ≤ 106.25  → FITS
headroom  = 10.31 GB of weights budget left
Command R+104BQ6_K
85
fits
▸ show the math
// weights Q6_K for Command R+ (104B params)
weights = params × bits ÷ 8
        = 104 × 6.56 ÷ 8
        = 85.28 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
85.28 ≤ 106.25  → FITS
headroom  = 20.97 GB of weights budget left
Qwen 2.5 72B72.7BQ8_0
77
fits
▸ show the math
// weights Q8_0 for Qwen 2.5 72B (72.7B params)
weights = params × bits ÷ 8
        = 72.7 × 8.5 ÷ 8
        = 77.24 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
77.24 ≤ 106.25  → FITS
headroom  = 29.00 GB of weights budget left
Llama 3.3 70B70.6BQ8_0
75
fits
▸ show the math
// weights Q8_0 for Llama 3.3 70B (70.6B params)
weights = params × bits ÷ 8
        = 70.6 × 8.5 ÷ 8
        = 75.01 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
75.01 ≤ 106.25  → FITS
headroom  = 31.24 GB of weights budget left
Mixtral 8x7B46.7BFP16/BF16
93
fits
▸ show the math
// weights FP16/BF16 for Mixtral 8x7B (46.7B params)
weights = params × bits ÷ 8
        = 46.7 × 16 ÷ 8
        = 93.40 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
93.40 ≤ 106.25  → FITS
headroom  = 12.85 GB of weights budget left
Qwen 3.6 35B A3B35BFP16/BF16
70
fits
▸ show the math
// weights FP16/BF16 for Qwen 3.6 35B A3B (35B params)
weights = params × bits ÷ 8
        = 35 × 16 ÷ 8
        = 70.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
70.00 ≤ 106.25  → FITS
headroom  = 36.25 GB of weights budget left
Yi 34B34BFP16/BF16
68
fits
▸ show the math
// weights FP16/BF16 for Yi 34B (34B params)
weights = params × bits ÷ 8
        = 34 × 16 ÷ 8
        = 68.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
68.00 ≤ 106.25  → FITS
headroom  = 38.25 GB of weights budget left
Qwen 2.5 32B32.5BFP16/BF16
65
fits
▸ show the math
// weights FP16/BF16 for Qwen 2.5 32B (32.5B params)
weights = params × bits ÷ 8
        = 32.5 × 16 ÷ 8
        = 65.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
65.00 ≤ 106.25  → FITS
headroom  = 41.25 GB of weights budget left
Qwen 2.5 Coder 32B32.5BFP16/BF16
65
fits
▸ show the math
// weights FP16/BF16 for Qwen 2.5 Coder 32B (32.5B params)
weights = params × bits ÷ 8
        = 32.5 × 16 ÷ 8
        = 65.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
65.00 ≤ 106.25  → FITS
headroom  = 41.25 GB of weights budget left
Qwen3 30B A3B30.5BFP16/BF16
61
fits
▸ show the math
// weights FP16/BF16 for Qwen3 30B A3B (30.5B params)
weights = params × bits ÷ 8
        = 30.5 × 16 ÷ 8
        = 61.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
61.00 ≤ 106.25  → FITS
headroom  = 45.25 GB of weights budget left
Qwen 3.6 27B27BFP16/BF16
54
fits
▸ show the math
// weights FP16/BF16 for Qwen 3.6 27B (27B params)
weights = params × bits ÷ 8
        = 27 × 16 ÷ 8
        = 54.00 GB

// budget on DGX Spark (128GB) at ctx 8K, conc 1, 15% safety
kv_cache  = 0.05 GB    (1× at ctx 8K)
overhead  = 2.50 GB    (runtime, cuda, allocator)
safety    = 19.20 GB    (15% of 128GB)
budget    = vram − safety − kv − overhead
          = 128 − 19.20 − 0.05 − 2.50
          = 106.25 GB

// fit decision
54.00 ≤ 106.25  → FITS
headroom  = 52.25 GB of weights budget left

Compare to…

$ ./vrambudget --compare

Discussion.

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