Search Oryxen

Search tools, jump to categories, and open key destinations

Recorded alternatives

Alternatives to DeepGEMM

Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.

#1 AIFree

FlashInfer — alternative #1 to DeepGEMM

Kernel library for LLM serving. High-performance CUDA kernels for attention, sampling, and matrix multiplication. Powers vLLM, SGLang, and o...

GitHub source
#2 AIFree

xLLM — alternative #2 to DeepGEMM

High-performance inference engine optimized for Chinese AI accelerators (Cambricon MLU, Hygon DCU, Huawei Ascend). Features service-engine d...

GitHub source
#3 AIFree

GPUStack — alternative #3 to DeepGEMM

GPU cluster manager that orchestrates inference engines like vLLM and SGLang. Automated engine selection, parameter optimization, and distri...

GitHub source
#4 AIFree

LMCache — alternative #4 to DeepGEMM

Supercharge LLM inference with the fastest KV Cache layer. 3-10x delay savings and GPU cycle reduction for multi-round QA and RAG. Integrate...

GitHub source
#5 AIFree

KTransformers — alternative #5 to DeepGEMM

Flexible framework for heterogeneous CPU-GPU LLM inference and fine-tuning. Enables running large MoE models by offloading experts to CPU wi...

GitHub source
#6 AIFree

PowerInfer — alternative #6 to DeepGEMM

High-speed LLM inference for local deployment on consumer GPUs. Achieves up to 11x speedup over llama.cpp on RTX 4090 by exploiting power-la...

GitHub source
#7 AIFree

GoSƐ — alternative #7 to DeepGEMM

Modern file-uploader focusing on scalability and simplicity. It only depends on a S3 storage backend and hence scales horizontally without t...

Catalogue source

Questions about this page

How were these alternatives selected?

Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.

Are these alternatives ranked by payment?

No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.

Always verify current terms with DeepGEMM directly — Oryxen records pricing classes, not live quotes.