Got my Ascent GX10 two days ago and spent the last couple of days pushing a REAP-pruned NVFP4 DeepSeek-V4-Flash setup on a single Spark by patching the eugr/spark-vllm-docker image.

Credit where it’s due: the REAPs were done by 0xSero. I’m just the person who wired it up, validated it, and pushed it through the machine.

The main thing I wanted to check was long-context consistency, and the interesting part is how steady the throughput stays as context scales up.

I also vibecoded a Grafana dashboard in Hermes so I can watch the Spark(served at 262k context with VLLM) without living in raw logs.

Here are the numbers:

model	test	t/s (total)	t/s (req)	peak t/s	peak t/s (req)	ttfr (ms)	est_ppt (ms)	e2e_ttft (ms)
deepseek-v4-flash	pp4092 (c1)	835.41 ± 0.00	835.41 ± 0.00			4902.67 ± 0.00	4898.18 ± 0.00	4902.67 ± 0.00
deepseek-v4-flash	tg128 (c1)	23.38 ± 0.00	23.38 ± 0.00	27.00 ± 0.00	27.00 ± 0.00
deepseek-v4-flash	pp4092 (c2)	544.31 ± 0.00	556.92 ± 284.68			9950.97 ± 5084.31	9946.48 ± 5084.31	9950.97 ± 5084.31
deepseek-v4-flash	tg128 (c2)	16.76 ± 0.00	24.85 ± 0.63	29.00 ± 0.00	29.00 ± 0.00
deepseek-v4-flash	pp4092 (c4)	458.66 ± 0.00	215.93 ± 54.18			20228.56 ± 5074.88	20224.07 ± 5074.88	20228.56 ± 5074.88
deepseek-v4-flash	tg128 (c4)	14.17 ± 0.00	23.87 ± 0.75	31.00 ± 0.00	28.75 ± 1.79
deepseek-v4-flash	pp4092 (c1)	827.54 ± 0.00	827.54 ± 0.00			4949.25 ± 0.00	4944.77 ± 0.00	4949.25 ± 0.00
deepseek-v4-flash	tg512 (c1)	22.15 ± 0.00	22.15 ± 0.00	29.00 ± 0.00	29.00 ± 0.00
deepseek-v4-flash	pp4092 (c2)	259.55 ± 0.00	483.59 ± 353.80			18211.16 ± 13320.06	18206.67 ± 13320.06	18211.16 ± 13320.06
deepseek-v4-flash	tg512 (c2)	20.64 ± 0.00	22.90 ± 0.56	30.00 ± 0.00	30.00 ± 0.00
deepseek-v4-flash	pp4092 (c4)	193.07 ± 0.00	105.06 ± 34.55			43677.81 ± 14362.48	43673.32 ± 14362.48	43677.81 ± 14362.48
deepseek-v4-flash	tg512 (c4)	20.12 ± 0.00	23.66 ± 1.74	31.00 ± 0.00	29.50 ± 1.12
deepseek-v4-flash	pp16384 (c1)	768.42 ± 0.00	768.42 ± 0.00			21326.14 ± 0.00	21321.66 ± 0.00	21328.51 ± 0.00
deepseek-v4-flash	tg128 (c1)	22.14 ± 0.00	22.14 ± 0.00	27.00 ± 0.00	27.00 ± 0.00
deepseek-v4-flash	pp16384 (c2)	668.24 ± 0.00	533.52 ± 199.36			35697.41 ± 13337.33	35692.92 ± 13337.33	35698.70 ± 13337.36
deepseek-v4-flash	tg128 (c2)	7.83 ± 0.00	22.87 ± 0.86	28.00 ± 0.00	28.00 ± 0.00
deepseek-v4-flash	pp16384 (c4)	636.72 ± 0.00	273.62 ± 59.03			62805.30 ± 13548.80	62800.81 ± 13548.80	62806.27 ± 13547.83
deepseek-v4-flash	tg128 (c4)	5.81 ± 0.00	22.51 ± 1.40	28.00 ± 0.00	27.25 ± 0.83
deepseek-v4-flash	pp16384 (c1)	769.23 ± 0.00	769.23 ± 0.00			21303.79 ± 0.00	21299.30 ± 0.00	21303.79 ± 0.00
deepseek-v4-flash	tg512 (c1)	22.23 ± 0.00	22.23 ± 0.00	30.00 ± 0.00	30.00 ± 0.00
deepseek-v4-flash	pp16384 (c2)	499.36 ± 0.00	503.44 ± 253.74			43631.21 ± 21988.43	43626.72 ± 21988.43	43631.21 ± 21988.43
deepseek-v4-flash	tg512 (c2)	15.40 ± 0.00	22.65 ± 0.16	28.00 ± 0.00	28.00 ± 0.00
deepseek-v4-flash	pp16384 (c4)	425.47 ± 0.00	197.99 ± 48.93			88138.11 ± 21781.16	88133.62 ± 21781.16	88138.11 ± 21781.16
deepseek-v4-flash	tg512 (c4)	13.09 ± 0.00	22.30 ± 0.63	30.00 ± 0.00	29.50 ± 0.50
deepseek-v4-flash	pp65536 (c1)	655.34 ± 0.00	655.34 ± 0.00			100007.10 ± 0.00	100002.61 ± 0.00	100014.84 ± 0.00
deepseek-v4-flash	tg128 (c1)	18.01 ± 0.00	18.01 ± 0.00	23.00 ± 0.00	23.00 ± 0.00
deepseek-v4-flash	pp65536 (c2)	622.19 ± 0.00	468.70 ± 157.58			157651.57 ± 53003.64	157647.08 ± 53003.64	157657.64 ± 53004.05
deepseek-v4-flash	tg128 (c2)	2.27 ± 0.00	21.03 ± 0.62	26.00 ± 0.00	25.50 ± 0.50
deepseek-v4-flash	pp65536 (c4)	613.00 ± 0.00	256.18 ± 52.33			266959.62 ± 54527.17	266955.14 ± 54527.17	266963.48 ± 54526.99
deepseek-v4-flash	tg128 (c4)	1.54 ± 0.00	20.92 ± 1.06	28.00 ± 0.00	26.50 ± 0.87
deepseek-v4-flash	pp65536 (c1)	656.34 ± 0.00	656.34 ± 0.00			99855.20 ± 0.00	99850.71 ± 0.00	99861.54 ± 0.00
deepseek-v4-flash	tg512 (c1)	21.32 ± 0.00	21.32 ± 0.00	27.00 ± 0.00	27.00 ± 0.00
deepseek-v4-flash	pp65536 (c2)	579.74 ± 0.00	462.74 ± 172.85			164598.02 ± 61483.52	164593.53 ± 61483.52	164604.29 ± 61483.75
deepseek-v4-flash	tg512 (c2)	6.88 ± 0.00	20.94 ± 0.91	28.00 ± 0.00	27.50 ± 0.50
deepseek-v4-flash	pp65536 (c4)	545.41 ± 0.00	234.86 ± 51.30			293034.26 ± 64009.23	293029.77 ± 64009.23	293037.88 ± 64009.22
deepseek-v4-flash	tg512 (c4)	5.09 ± 0.00	21.33 ± 0.70	28.00 ± 0.00	27.50 ± 0.87
deepseek-v4-flash	pp131072 (c1)	558.69 ± 0.00	558.69 ± 0.00			234608.36 ± 0.00	234603.87 ± 0.00	234621.63 ± 0.00
deepseek-v4-flash	tg128 (c1)	19.10 ± 0.00	19.10 ± 0.00	23.00 ± 0.00	23.00 ± 0.00
deepseek-v4-flash	pp131072 (c2)	548.87 ± 0.00	406.83 ± 132.39			360340.23 ± 117258.53	360335.75 ± 117258.53	360347.52 ± 117259.06
deepseek-v4-flash	tg128 (c2)	1.05 ± 0.00	19.13 ± 0.22	25.00 ± 0.00	24.00 ± 1.00
deepseek-v4-flash	pp131072 (c4)	546.73 ± 0.00	196.89 ± 56.72			602040.49 ± 121723.14	602036.01 ± 121723.14	602053.75 ± 121723.14
deepseek-v4-flash	tg128 (c4)	0.70 ± 0.00	20.11 ± 1.47	25.00 ± 0.00	24.00 ± 1.22
deepseek-v4-flash	pp131072 (c1)	573.71 ± 0.00	573.71 ± 0.00			228466.93 ± 0.00	228462.44 ± 0.00	228473.65 ± 0.00
deepseek-v4-flash	tg512 (c1)	18.50 ± 0.00	18.50 ± 0.00	24.00 ± 0.00	24.00 ± 0.00
deepseek-v4-flash	pp131072 (c2)	531.49 ± 0.00	409.53 ± 143.78			365049.44 ± 128158.79	365044.96 ± 128158.79	365059.40 ± 128161.25
deepseek-v4-flash	tg512 (c2)	3.62 ± 0.00	18.88 ± 0.88	26.00 ± 0.00	25.00 ± 1.00
deepseek-v4-flash	pp131072 (c4)	526.27 ± 0.00	188.42 ± 54.45			631612.72 ± 130990.99	631608.23 ± 130990.99	631626.03 ± 130991.41
deepseek-v4-flash	tg512 (c4)	2.09 ± 0.00	19.28 ± 0.45	26.00 ± 0.00	25.00 ± 1.22
deepseek-v4-flash	pp162816 (c1)	534.93 ± 0.00	534.93 ± 0.00			304375.99 ± 0.00	304371.51 ± 0.00	304384.97 ± 0.00
deepseek-v4-flash	tg128 (c1)	20.62 ± 0.00	20.62 ± 0.00	24.00 ± 0.00	24.00 ± 0.00
deepseek-v4-flash	pp162816 (c2)	521.46 ± 0.00	387.00 ± 126.26			470838.82 ± 153616.52	470834.33 ± 153616.52	470847.89 ± 153616.37
deepseek-v4-flash	tg128 (c2)	0.81 ± 0.00	19.09 ± 0.42	24.00 ± 0.00	24.00 ± 0.00
deepseek-v4-flash	pp162816 (c4)	519.15 ± 0.00	186.62 ± 53.53			789169.74 ± 158960.31	789165.25 ± 158960.31	789174.99 ± 158955.06
deepseek-v4-flash	tg128 (c4)	0.54 ± 0.00	19.86 ± 0.79	25.00 ± 0.00	24.00 ± 1.22
deepseek-v4-flash	pp162816 (c1)	542.47 ± 0.00	542.47 ± 0.00			300144.05 ± 0.00	300139.56 ± 0.00	300160.34 ± 0.00
deepseek-v4-flash	tg512 (c1)	18.50 ± 0.00	18.50 ± 0.00	24.00 ± 0.00	24.00 ± 0.00
deepseek-v4-flash	pp162816 (c2)	508.47 ± 0.00	388.37 ± 134.13			476007.57 ± 164392.18	476003.08 ± 164392.18	476017.56 ± 164391.67
deepseek-v4-flash	tg512 (c2)	2.87 ± 0.00	17.99 ± 0.36	24.00 ± 0.00	23.00 ± 1.00
deepseek-v4-flash	pp162816 (c4)	495.46 ± 0.00	207.66 ± 42.84			818907.10 ± 168931.83	818902.61 ± 168931.83	818912.38 ± 168926.54
deepseek-v4-flash	tg512 (c4)	1.98 ± 0.00	18.75 ± 0.49	28.00 ± 0.00	25.25 ± 1.64

What stood out to me is that this thing stays surprisingly consistent at long context on a single Spark. The prefill and tg numbers don’t collapse the way you might expect as you stretch from 4K to 162K, and that was the whole point of the test.

Next up I’ll post the 180B REAP benchmarks too, and if the hardware cooperates I want to try longer contexts, maybe up to 500K.