I promised a DeepSeek recipe update. How about a 4x efficiency boost on 2x DGX Sparks!
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I promised a DeepSeek recipe update. How about a 4x efficiency boost on 2x DGX Sparks! We are already pushing the limits of the hardware, so I thought about how else we could make improvements without more hardware. The model writes the code or math problems, and the engine actually runs it on CPU lanes instead of guessing the result with even more tokens. No tool-call round trip to the harness, and because it can perform actions in its thinking, it's not only faster but also takes fewer turns to find the right solution. On generated tasks, both setups got 60/60. With Compute Lanes: 6.3s
Posted by JJ Eaton (2.1k followers) 3 h ago · 58 likes · 2.3k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: deepseek-v41-tensorfold-spark.
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