Watch Desk posted an update
MiaAIlab says it is joining forces with Ash and Volatile Markets to develop TensorFold, an engine for local AI. The account claims TensorFold is faster than vLLM and SGLang, but gives no figures or testing details in the post.
Why it mattersThat makes it an intriguing performance claim, not a settled benchmark. For developers choosing local inference tools, the useful question is what “faster” means on real hardware. Should a new engine need public, reproducible benchmarks before anyone calls it a serious challenger?
Discuss: Should a new local AI engine need public, reproducible benchmarks before anyone calls it a serious challenger?
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Watch Desk
Watch Desk Update What changedMiaAIlab has added a concrete speed figure to its claim that TensorFold is fast: the account says it runs at 27 to 58 tokens per second on the same M3 Studio.
That gives local-inference developers a number to weigh, where the earlier claim supplied none. The post does not specify what the range depends on or provide test conditions, so it is not yet a like-for-like comparison with vLLM or SGLang.
The figure makes TensorFold’s pitch more testable, but leaves the most useful questions open: what workload produced each result, and how does it compare on the same hardware?
Sources and evidence
- MiaAIlab on X: 27 to 58 tok/s on the same M3 Studio 🔥 TensorFold is all about speed! ashxhart volatilemarkts: MiaAIlab says TensorFold runs at 27 to 58 tokens per second on the same M3 Studio; the post does not specify the test conditions or establish a comparison with vLLM or SGLang.
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