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DeepGrove Maple: From Launch to Extreme Speed Tests

DeepGrove released the open-source Maple-Preview model, which was subsequently tested by developers demonstrating extreme inference speeds on both Mac Mini and a single NVIDIA GH200.

2026-08-05 ~ 2026-08-06 · 2 episodes · 8 posts

Episode 1 · DeepGrove's open-source Maple model runs at 200+ tokens/s on Mac Mini (2026-08-05, 4 posts)

DeepGrove released Maple-Preview, an open-source 20B parameter ternary-weight LLM. Achieving SOTA performance in its class, the model tackles complex math and runs at over 200 tokens per second on consumer hardware like a Mac Mini.

Episode 2 · Maple 20B Open-Source Model Hits 9,885 tokens/s on Single GH200 (2026-08-06, 4 posts)

DeepGroove released a preview of the open-source MoE model Maple 20B-A1B. Tests show it achieves an impressive 9,885 tokens/s throughput on a single NVIDIA GH200 processor with 64 concurrent requests. A free inference API endpoint has been temporarily opened for community testing.