--- title: "JetStream vs ZhiLight" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-hypercomputer-jetstream-vs-zhihu-zhilight" tools: ["ai-hypercomputer-jetstream", "zhihu-zhilight"] --- # JetStream vs ZhiLight *GraphCanon updated Aug 25, 2026* ## Verdict Pick JetStream if jetStream optimises throughput and memory for LLM inference on XLA devices like TPUs, with potential GPU support in future; pick ZhiLight if zhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming. [JetStream](https://github.com/AI-Hypercomputer/JetStream) reports 455 GitHub stars, 67 forks, and 26 open issues, last pushed Jan 5, 2026. [ZhiLight](https://github.com/zhihu/ZhiLight) has 908 stars, 104 forks, and 6 open issues, last pushed Mar 18, 2026. Figures are from public GitHub metadata via [JetStream's repository](https://github.com/AI-Hypercomputer/JetStream) and [ZhiLight's repository](https://github.com/zhihu/ZhiLight). | | [JetStream](/tools/ai-hypercomputer-jetstream.md) | [ZhiLight](/tools/zhihu-zhilight.md) | | --- | --- | --- | | Tagline | Throughput and memory optimized engine for LLM inference on XLA devices | A highly optimized LLM inference acceleration engine for Llama and its variants. | | Stars | 455 | 908 | | Forks | 67 | 104 | | Open issues | 26 | 6 | | Language | Python | C++ | | Adopt for | JetStream optimises throughput and memory for LLM inference on XLA devices like TPUs, with potential GPU support in future. | ZhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [JetStream](/tools/ai-hypercomputer-jetstream.md) | [ZhiLight](/tools/zhihu-zhilight.md) | | --- | --- | --- | | Days since push | 231d | 159d | | Open issues (now) | 26 | 6 | | Stars delta | +4 (30d) | +3 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/ai-hypercomputer-jetstream/trust.md) | [trust report](/tools/zhihu-zhilight/trust.md) | ## Shared compatibility - **Python**: [JetStream](/tools/ai-hypercomputer-jetstream.md) - Python runtime; [ZhiLight](/tools/zhihu-zhilight.md) - Python runtime ## Decision facts: JetStream - **Adopt for:** JetStream optimises throughput and memory for LLM inference on XLA devices like TPUs, with potential GPU support in future. ## Decision facts: ZhiLight - **Pricing:** freemium - The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification. - **Adopt for:** ZhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming. ## Choose when ### Choose JetStream if… - JetStream is primarily Python; ZhiLight is C++. - Tags unique to JetStream: gemma, gpu, inference, jax. - * You are working with large language models (LLMs) that require efficient inference on hardware supported by XLA, particularly TPUs. ### Choose ZhiLight if… - ZhiLight is primarily C++; JetStream is Python. - Pricing: The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification.. - Tags unique to ZhiLight: cuda, deepseek-r1, inference-engine, llm. - Use ZhiLight if your application specifically requires optimization for Llama model variants, as it has specialized capabilities for this purpose. ## When NOT to use JetStream - * If your primary compute platform is not an XLA-compatible device such as TPU; JetStream's current focus is on systems that are supported by XLA. - * When you need immediate support for GPUs, since GPU functionality is marked as a future potential enhancement. ## When NOT to use ZhiLight - Avoid using ZhiLight if your project relies on models other than Llama and its variants since the tool is optimized specifically for these models. - If your infrastructure does not include CUDA-compatible GPUs, or you prefer non-GPU-based acceleration solutions, then ZhiLight might not be advantageous. ## Common questions ### What is the difference between JetStream and ZhiLight? JetStream: Throughput and memory optimized engine for LLM inference on XLA devices. ZhiLight: A highly optimized LLM inference acceleration engine for Llama and its variants.. See the comparison table for live GitHub stats and shared categories. ### When should I choose JetStream over ZhiLight? Choose JetStream over ZhiLight when JetStream is primarily Python; ZhiLight is C++; Tags unique to JetStream: gemma, gpu, inference, jax; * You are working with large language models (LLMs) that require efficient inference on hardware supported by XLA, particularly TPUs. ### When should I choose ZhiLight over JetStream? Choose ZhiLight over JetStream when ZhiLight is primarily C++; JetStream is Python; Pricing: The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification.; Tags unique to ZhiLight: cuda, deepseek-r1, inference-engine, llm; Use ZhiLight if your application specifically requires optimization for Llama model variants, as it has specialized capabilities for this purpose. ### When should I avoid JetStream? * If your primary compute platform is not an XLA-compatible device such as TPU; JetStream's current focus is on systems that are supported by XLA. * When you need immediate support for GPUs, since GPU functionality is marked as a future potential enhancement. ### When should I avoid ZhiLight? Avoid using ZhiLight if your project relies on models other than Llama and its variants since the tool is optimized specifically for these models. If your infrastructure does not include CUDA-compatible GPUs, or you prefer non-GPU-based acceleration solutions, then ZhiLight might not be advantageous. ### Is JetStream or ZhiLight more popular on GitHub? ZhiLight has more GitHub stars (908 vs 455). Stars measure visibility, not whether either tool fits your constraints. ### Are JetStream and ZhiLight open source? Yes - both are open-source projects on GitHub (JetStream: Apache-2.0, ZhiLight: Apache-2.0). ### Where can I find alternatives to JetStream or ZhiLight? GraphCanon lists graph-backed alternatives at [JetStream alternatives](/tools/ai-hypercomputer-jetstream/alternatives) and [ZhiLight alternatives](/tools/zhihu-zhilight/alternatives) ([JetStream markdown twin](/tools/ai-hypercomputer-jetstream/alternatives.md), [ZhiLight markdown twin](/tools/zhihu-zhilight/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/ai-hypercomputer-jetstream-vs-zhihu-zhilight.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, JetStream or ZhiLight? JetStream: Slowing. ZhiLight: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for JetStream and ZhiLight? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [JetStream trust report](/tools/ai-hypercomputer-jetstream/trust); [ZhiLight trust report](/tools/zhihu-zhilight/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-hypercomputer-jetstream`](/api/graphcanon/graph?tool=ai-hypercomputer-jetstream) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_