Choose the Rust-to-GPU compiler workflow that fits your programming model, then set its GPU architecture for the oldest device and driver you need to support. The SM target identifies a hardware architecture; the PTX version is a separate compatibility choice that can raise the minimum driver requirement. Confirm both against your deployment fleet before building.
Which CUDA-Rust compiler workflow fits your project?
These options do not share one set of requirements or architecture flags. Choose by programming model and project constraints before configuring a target.
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| Workflow | Programming model and status | Documented requirements or constraints | Architecture setting |
|---|---|---|---|
Rust built-in nvptx64-nvidia-cuda |
Rust target that emits PTX; Tier 2 and no_std. |
Nightly Rust, LLVM tools and the LLVM bitcode linker are documented for the build. Use a cdylib for PTX output. Rebuilding core uses nightly -Z build-std=core. |
-C target-cpu=sm_XX; PTX selection uses -C target-feature=+ptxXX. |
| NVIDIA cuda-oxide (SIMT) | Custom rustc codegen backend for SIMT kernels; repository describes it as alpha and under active development. |
Its guide lists Linux, compute capability 8.0 or later, CUDA Toolkit 12.x or newer, clang/libclang headers and a pinned nightly. | CUDA_OXIDE_DEVICE_ARCH accepts sm_<capability>, optionally with an a suffix. |
| NVIDIA cutile-rs (Tile) | Tile-based programming in stable Rust, with compiler-managed thread mapping and memory layout through CUDA Tile IR JIT compilation. | Specific minimum GPU, toolkit and driver requirements are not stated in the cited overview; consult the project’s current guidance. | Use the cutile-rs project’s own current configuration guidance; built-in rustc flags are not automatically interchangeable. |
Rust-CUDA / rustc_codegen_nvvm |
Separate community NVVM code-generation workflow. | Its guide lists CUDA 12 or later and compute capability 5.0 or later. The guide warns that the builder’s default Compute75 target can produce PTX older GPUs fail to load. | Set the target through cuda_builder::NvvmArch. |
Tile or SIMT?
Tile abstracts thread mapping and memory layout; SIMT gives the programmer more explicit control over threads and memory. NVIDIA’s CUDA Rust technical blog recommends, “When you are picking one to build on, reach for Tile first,” in the context of compiler-managed mapping. That is vendor guidance, not an independent performance comparison. Choose SIMT when its lower-level control is a requirement.
Keep each workflow’s setup and flags together
A setting that looks similar across projects may have different meaning or syntax. The built-in rustc target, cuda-oxide and Rust-CUDA have separate configuration mechanisms and documented floors; follow the instructions for the exact backend you build with. For built-in rustc, keep -C target-cpu settings consistent across crates.
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How do you choose the GPU architecture target?
- Inventory every deployment GPU. Look up each model’s compute capability in NVIDIA’s GPU capability table. The table lists, for example, GeForce RTX 5090 at 12.0, GeForce RTX 4090 at 8.9 and A100 at 8.0; these examples are not an exhaustive list. On a local NVIDIA system, the Rust-CUDA guide shows
nvidia-smi --query-gpu=compute_cap --format=csv. - Set the SM target for the oldest supported device. For built-in rustc,
sm_XXselects an architecture target and can permit architecture-specific instructions. A target newer than a deployment GPU can make the output unusable on that GPU. If the deployment spans generations, use a baseline compatible with the oldest device or produce separately targeted artifacts if your toolchain and deployment design support them. - Check that the chosen target supports the kernel’s instructions. Compute capability identifies hardware features and supported instructions; the GPU model-to-capability mapping helps identify the target family. Do not select a newer SM merely because a newer GPU is available if older devices must still run the same artifact.
- Choose a PTX ISA version against the oldest driver. PTX is a versioned virtual instruction set, distinct from the SM target. Rust’s current target documentation gives
ptx78as requiring CUDA driver 11.8 andptx80as requiring driver 12.0. A newer PTX setting can therefore raise the driver floor even when the SM target is unchanged. These figures are documentation examples, not a substitute for checking the target documentation for your installed Rust release and testing the oldest supported driver. - Check the exact backend syntax. Built-in rustc uses settings such as
-C target-cpu=sm_89and-C target-feature=+ptx80; Rust-CUDA usescuda_builder::NvvmArch; cuda-oxide documentsCUDA_OXIDE_DEVICE_ARCH. Do not copy a flag from one workflow into another without confirming that workflow supports it.
How do PTX, cubins and driver compatibility affect deployment?
PTX can reach later GPU generations, with a JIT cost
NVIDIA documents that a driver can JIT-compile PTX for a GPU with equal or later compute capability. This can make PTX useful when distributing beyond one specific GPU generation, but JIT compilation adds application load time. A cached result can help later launches; the driver may invalidate that cache.
Cubins have narrower compatibility rules
A cubin is compiled for hardware rather than being a virtual ISA like PTX. NVIDIA documents compatibility within a compute-capability major version when the device has a sufficiently high minor version, but does not promise compatibility across major versions. NVIDIA also qualifies this compatibility promise for binaries created by NVIDIA tools. PTX and cubins therefore address different distribution needs; neither should be treated as a universal compatibility guarantee.
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What changed for Rust’s built-in NVPTX target?
A Rust Project post dated May 1, 2026 announced that Rust 1.97 would raise the nvptx64-nvidia-cuda baseline to PTX 7.0 and SM 7.0. The post says PTX 7.0 requires a CUDA 11 driver or newer and that GPUs below compute capability 7.0—including Maxwell and Pascal—would no longer be targetable through that baseline. The rustc platform-support page consulted for this guidance still marked the 1.97 row “while showing the planned minimums. Treat the change as announced, not as proof of the status of every installed compiler: check your rustc version and its current platform-support page before relying on a particular floor.
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Pre-build compatibility checklist
- Record the oldest GPU model and compute capability that must run the artifact.
- Identify the oldest NVIDIA driver in the deployment environment.
- Confirm whether your compiler produces PTX, cubins or multiple artifacts, and whether deployment includes JIT compilation.
- Use the selected workflow’s own syntax and documented hardware/toolkit requirements.
- Build and test on the oldest supported GPU and driver combination, not only on the development machine.
- Recheck the platform documentation when upgrading Rust, CUDA or the backend, especially around the announced Rust 1.97 baseline change.
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