--- title: "dstack vs kvcached" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstackai-dstack-vs-ovg-project-kvcached" tools: ["dstackai-dstack", "ovg-project-kvcached"] --- # dstack vs kvcached *GraphCanon updated Aug 25, 2026* ## Verdict Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick kvcached if kvcached is designed for optimizing dynamic GPU sharing and multiplexing scenarios, beneficial for LLM inference and serving operations. [dstack](https://dstack.ai/docs) reports 2.2k GitHub stars, 250 forks, and 66 open issues, last pushed Aug 23, 2026. [kvcached](https://github.com/ovg-project/kvcached) has 1.1k stars, 132 forks, and 99 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [dstack's repository](https://github.com/dstackai/dstack) and [kvcached's repository](https://github.com/ovg-project/kvcached). | | [dstack](/tools/dstackai-dstack.md) | [kvcached](/tools/ovg-project-kvcached.md) | | --- | --- | --- | | Tagline | Vendor-agnostic orchestration for AI workloads | Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond | | Stars | 2,219 | 1,142 | | Forks | 250 | 132 | | Open issues | 66 | 99 | | Language | Python | Python | | Adopt for | Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. | Kvcached is designed for optimizing dynamic GPU sharing and multiplexing scenarios, beneficial for LLM inference and serving operations. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | AI Agents, Inference & Serving, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstackai-dstack.md) | [kvcached](/tools/ovg-project-kvcached.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 66 | 99 | | Open issues delta | +5 (30d) | -5 (30d) | | Full report | [trust report](/tools/dstackai-dstack/trust.md) | [trust report](/tools/ovg-project-kvcached/trust.md) | ## Decision facts: dstack - **Adopt for:** Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. ## Decision facts: kvcached - **Adopt for:** Kvcached is designed for optimizing dynamic GPU sharing and multiplexing scenarios, beneficial for LLM inference and serving operations. ## Choose when ### Choose dstack if… - License: dstack is MPL-2.0, kvcached is Apache-2.0. - Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud. - Also covers AI Agents, Model Training. - If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent ### Choose kvcached if… - License: kvcached is Apache-2.0, dstack is MPL-2.0. - Tags unique to kvcached: elastic-kvcache, gpu-sharing, kvcache, llm-inference. - Also covers LLM Frameworks. - If you are looking to optimize performance in environments that require dynamic allocation of GPUs among multiple processes or tasks. ## When NOT to use dstack - When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred - If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ## When NOT to use kvcached - For applications where static, predefined resource allocations are sufficient and do not require dynamic adjustments to GPU usage. - In scenarios that prioritize simplicity over sophisticated resource management, as Kvcached may add unnecessary complexity with its advanced features for dynamic GPU sharing. ## Common questions ### What is the difference between dstack and kvcached? dstack: Vendor-agnostic orchestration for AI workloads. kvcached: Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond. See the comparison table for live GitHub stats and shared categories. ### When should I choose dstack over kvcached? Choose dstack over kvcached when License: dstack is MPL-2.0, kvcached is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents, Model Training; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent. ### When should I choose kvcached over dstack? Choose kvcached over dstack when License: kvcached is Apache-2.0, dstack is MPL-2.0; Tags unique to kvcached: elastic-kvcache, gpu-sharing, kvcache, llm-inference; Also covers LLM Frameworks; If you are looking to optimize performance in environments that require dynamic allocation of GPUs among multiple processes or tasks. ### When should I avoid dstack? When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ### When should I avoid kvcached? For applications where static, predefined resource allocations are sufficient and do not require dynamic adjustments to GPU usage. In scenarios that prioritize simplicity over sophisticated resource management, as Kvcached may add unnecessary complexity with its advanced features for dynamic GPU sharing. ### Is dstack or kvcached more popular on GitHub? dstack has more GitHub stars (2,219 vs 1,142). Stars measure visibility, not whether either tool fits your constraints. ### Are dstack and kvcached open source? Yes - both are open-source projects on GitHub (dstack: MPL-2.0, kvcached: Apache-2.0). ### Where can I find alternatives to dstack or kvcached? GraphCanon lists graph-backed alternatives at [dstack alternatives](/tools/dstackai-dstack/alternatives) and [kvcached alternatives](/tools/ovg-project-kvcached/alternatives) ([dstack markdown twin](/tools/dstackai-dstack/alternatives.md), [kvcached markdown twin](/tools/ovg-project-kvcached/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/dstackai-dstack-vs-ovg-project-kvcached.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dstack or kvcached? dstack: Very active. kvcached: Very active. 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 dstack and kvcached? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dstack trust report](/tools/dstackai-dstack/trust); [kvcached trust report](/tools/ovg-project-kvcached/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dstackai-dstack`](/api/graphcanon/graph?tool=dstackai-dstack) - 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/_