1 request, prose prompt, with DSpark (per recipe) Source
Local AI · Recipe · 8× DGX Spark
DeepSeek-V4.1-Flash FP8/MXFP4 with SparkRing on 8× DGX Spark
DeepSeek-V4.1-Flash FP8/MXFP4 with SparkRing on 8× DGX Spark: 74 tok/s according to github.com (dataset as of Nov 3, 2026).
1 request, generation at 32K context (speed table, ring of eight), thinking on, high, with DSpark (per recipe); experimental profile
Source: github.comEngine
- Engine
- vLLM (local-inference-lab Fork) via SparkRing (SIRCL-Collectives, switchless RDMA ueber ConnectX-7), Image Release 2026.10.2
- Quantization
- Stock-Checkpoint FP8/MXFP4 (DeepSeek)
- Model family
- DeepSeek-V4.1-Flash
- Context
- 1,048,576
- Parameters
- 384 Routed-Experten (MoE); 510,3 GB Safetensors (475,3 GiB)
- Creator
- fujitsupolycom
- GitHub stars
- 102
- Repo updated
- Nov 2, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
Decode · parallel requests
Sums over all streams are marked; per request it is correspondingly less.
Prefill by context
What you need
- Hardware
- 8 × NVIDIA DGX Spark (GB10)
- Weights
- Main weightsdeepseek-ai/DeepSeek-V4.1-Flash MIT
- Engine
- vLLM (local-inference-lab Fork) via SparkRing (SIRCL-Collectives, switchless RDMA ueber ConnectX-7), Image Release 2026.10.2
- Context
- 1,048,576 tokens
Notes
What matters before you rebuild it.
- Custom kernel required
- Experimental
Sources
- github.com/FujitsuPolycom/sparkring#speed
- github.com/FujitsuPolycom/sparkring/blob/main/performance/records/images/release-2026.10.2-speed-32k-20261012.md
- github.com/FujitsuPolycom/sparkring/blob/main/profiles/README.md
- github.com/FujitsuPolycom/sparkring/blob/main/profiles/deepseek-v41-flash-tp8/README.md
- github.com/FujitsuPolycom/sparkring/blob/main/profiles/thinking.json
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