Apache TVM vs Paperspace Gradient
Apache TVM
tvm.apache.orgPaperspace Gradient
paperspace.comSide by side
| Figure | Apache TVM | Paperspace Gradient |
|---|---|---|
| Price from | Free | $8/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 17 |
| Spec score · Deep Learning Software | 9.0 (#2) | 8.8 (#3) |
| Documentation depth | The documentation is organized into getting-started guides, how-to tutorials, deep dives, API references, architecture material and contributor guidance. | The documentation includes getting-started guides, how-to articles, concepts, reference material, limits, known issues, support pages, CLI references, and SDK/API examples. |
| What it does | Apache TVM compiles pretrained machine-learning models into deployable modules for varied hardware. | Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure. |
Plans
Paperspace Gradient
- Free (Individual)Free
- Pro (Individual)$8 a month
- Growth (Individual)$39 a month
- Free (Team)Free
- Pro (Team)$12 a month
- Growth (Team)$39 a month
- T0Free
- T1$12 a month
- FreeFree
- FreeFree
In their own words
Apache TVM
Apache TVM is a machine learning compilation framework that turns pre-trained models into deployable modules. Its optimization process can be customized in Python without rebuilding the TVM stack, and users can combine optimization passes, libraries, and code generation. It imports models from PyTorch, ONNX, and TensorFlow Lite. Target backends include CPU, GPU, Metal, ROCm, Vulkan, OpenCL, x86, ARM, and WebAssembly. A lightweight runtime can execute compiled code in JavaScript, Java, Python, and C++ on Android, iOS, Raspberry Pi, and web browsers. Users can install it from PyPI, build from source, or use Docker images; cross-compilation and RPC deployment cover ARM, x86, RISC-V, embedded systems, and accelerator devices. The default generated binary uses a minimal runtime API and limited system calls such as malloc. Apache TVM is free open-source software under Apache License 2.0. Its RPC server assumes trusted users and networks: API users can write arbitrary files and obtain full remote code execution, so it should be treated as a high-trust interface.
Paperspace Gradient
Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.