ROCm Core SDK 7.11.0 release notes#
2026-02-11
16 min read time
ROCm Core SDK 7.11.0 continues the technology preview release stream that began with ROCm 7.9.0, advancing the transition to the new TheRock build and release system. To learn more about TheRock, see ROCm Core SDK and TheRock Build System.
This release expands AMD GPU and APU support and adds more components to the ROCm Core SDK. Developers can expect a more consistent build experience and streamlined workflows that pave the way toward modular future ROCm releases planned for mid-2026.
Important
ROCm 7.11.0 follows the versioning discontinuity that began with 7.9.0 and remains separate from the 7.0 to 7.2 production releases. For the latest production stream release, see the ROCm documentation.
Maintaining parallel release streams – preview and production – gives users ample time to evaluate and adopt the new build system and dependency changes. The technology preview stream is planned to continue through mid‑2026, after which it will replace the current production stream.
Release highlights#
ROCm Core SDK 7.11.0 with TheRock builds on the 7.10.0 release with several key enhancements:
Expanded AMD GPU support#
The ROCm 7.11.0 preview adds support for RDNA 4 and other GPUs:
Radeon AI PRO R9700
Radeon AI PRO R9600D
Radeon PRO W7900 Dual Slot
Radeon PRO V710
Radeon RX 9070 XT
Radeon RX 9070 GRE
Radeon RX 9070
Radeon RX 9060 XT LP
Radeon RX 9060 XT
Radeon RX 9060
Radeon RX 7700
For the full list of supported hardware, see Hardware support.
Expanded Linux distribution support#
ROCm 7.11.0 adds support for the following Linux distributions on AMD Instinct and Radeon GPUs.
Debian 13
Red Hat Enterprise Linux (RHEL) 9.4, 8.10
SUSE Linux Enterprise Server (SLES) 16.0
Oracle Linux 10, 9, 8
Rocky Linux 9
For the full list of supported Linux distributions, see Operating system support.
Added Linux package manager support#
ROCm Core SDK packages are now available in .deb and .rpm formats and can
be installed using your Linux distro’s package manager. See the
installation instructions for details.
Added GPU virtualization support for Instinct GPUs#
ROCm 7.11.0 supports GPU virtualization on AMD Instinct MI355X, MI350X, MI325X, and MI300X GPUs. For details, see GPU virtualization support.
Added debugging tools to the ROCm Core SDK#
ROCm 7.11.0 adds the following debugging tools to the ROCm Core SDK on Linux:
For the full list of core components, see ROCm Core SDK components.
Compatibility notices#
In terms of package compatibility, ROCm 7.11.0 diverges from the existing ROCm 7.0 production stream and future stable releases in that stream:
Compute-focused: ROCm 7.11.0 enables support for primarily compute workloads. Future releases will support mixed workloads (compute and graphics).
If you’re interested in testing AMD Radeon GPUs with preview support for graphics use cases with AMD ROCm 7.11.0, install Radeon Software for Linux version 25.35 from Linux Drivers for AMD Radeon and Radeon PRO Graphics.
If you’re interested in testing AMD Ryzen APUs with preview support for graphics use cases with AMD ROCm 7.11.0, use the inbox graphics drivers of Ubuntu 24.04.3.
No upgrade path from existing production releases including ROCm 7.2.0 and earlier, as well as from upcoming stable releases. See the explanatory note.
Not intended for production workloads: users running production environments should continue using the ROCm 7.0 stream. See the explanatory note.
Not fully featured: this release is a stepping stone toward fully open software development.
Limited hardware support: preview releases are only supported on some AMD Instinct GPUs, Radeon GPUs, and Ryzen APUs. See Supported hardware and operating systems.
Software components: additional components are planned to be introduced in future preview releases as part of the ROCm Core SDK. Other libraries and tools not included in the future Core SDK will either be:
Released as standalone project-specific packages, or
Grouped into domain-specific toolkits.
Hardware support#
The following table lists supported AMD Instinct GPUs, Radeon GPUs, and Ryzen AI APUs. Each supported device is listed with its corresponding GPU microarchitecture and LLVM target.
|
AMD device series |
Device |
LLVM target |
Architecture |
|---|---|---|---|
|
Instinct MI350 Series |
Instinct MI355X Instinct MI350X |
gfx950 |
CDNA 4 |
|
Instinct MI300 Series |
Instinct MI325X Instinct MI300X Instinct MI300A |
gfx942 |
CDNA 3 |
|
Instinct MI200 Series |
Instinct MI250X Instinct MI250 Instinct MI210 |
gfx90a |
CDNA 2 |
|
AMD device series |
Device |
LLVM target |
Architecture |
|---|---|---|---|
|
Radeon AI PRO R9000 Series |
Radeon AI PRO R9700 Radeon AI PRO R9600D |
gfx1201 |
RDNA 4 |
|
Radeon PRO W7000 Series |
Radeon PRO W7900 Dual Slot Radeon PRO W7900 Radeon PRO W7800 48GB Radeon PRO W7800 |
gfx1100 |
RDNA 3 |
|
Radeon PRO W7700 |
gfx1101 |
||
|
Radeon PRO V Series |
Radeon PRO V710 |
|
AMD device series |
Device |
LLVM target |
Architecture |
|---|---|---|---|
|
Radeon RX 9000 Series |
Radeon RX 9070 XT Radeon RX 9070 GRE Radeon RX 9070 |
gfx1201 |
RDNA 4 |
|
Radeon RX 9060 XT LP Radeon RX 9060 XT Radeon RX 9060 |
gfx1200 |
||
|
Radeon RX 7000 Series |
Radeon RX 7900 XTX Radeon RX 7900 XT Radeon RX 7900 GRE |
gfx1100 |
RDNA 3 |
|
Radeon RX 7800 XT Radeon RX 7700 XT Radeon RX 7700 |
gfx1101 |
|
AMD device series |
Device |
LLVM target |
Architecture |
|---|---|---|---|
|
Ryzen AI Max PRO 300 Series |
Ryzen AI Max+ PRO 395 Ryzen AI Max PRO 390 Ryzen AI Max PRO 385 Ryzen AI Max PRO 380 |
gfx1151 |
RDNA 3.5 |
|
Ryzen AI Max 300 Series |
Ryzen AI Max+ 395 Ryzen AI Max 390 Ryzen AI Max 385 |
||
|
Ryzen AI 300 Series |
Ryzen AI 9 HX 375 Ryzen AI 9 HX 370 Ryzen AI 9 365 |
gfx1150 |
Note
This preview release supports a limited number of GPU and APUs. Hardware support will be expanded with future releases, following a six-week release cadence.
Operating system support#
ROCm supports the following Linux distribution and Microsoft Windows versions. If you’re running ROCm on Linux, ensure your system is using a supported kernel version. Future preview releases will expand operating system support coverage.
Important
The following table is a general overview of supported OSes. Actual support might vary by GPU. Use the Compatibility matrix to verify support for your specific setup before installation.
|
Linux distribution |
Supported versions |
Linux kernel version |
|---|---|---|
|
Ubuntu |
24.04.3 |
GA 6.8 |
|
22.04.5 |
GA 5.15 |
|
|
Debian |
13 |
6.12 |
|
Red Hat Enterprise Linux (RHEL) |
10.1 |
6.12.0-124 |
|
10.0 |
6.12.0-55 |
|
|
9.7 |
5.14.0-611 |
|
|
9.6 |
5.14.0-570 |
|
|
9.4 |
5.14.0-427 |
|
|
8.10 |
4.18.0-553 |
|
|
Oracle Linux |
10 |
UEK 8.1 |
|
9 |
UEK 8 |
|
|
8 |
UEK 7 |
|
|
Rocky Linux |
9 |
5.14.0-570 |
|
SUSE Linux Enterprise Server (SLES) |
16.0 |
6.12 |
|
15.7 |
6.4.0-150700.51 |
|
Operating system |
Supported versions |
Linux kernel version |
|---|---|---|
|
Ubuntu |
24.04.3 |
GA 6.8 |
|
22.04.5 |
GA 5.15 |
|
|
Red Hat Enterprise Linux (RHEL) |
10.1 |
6.12.0-124 |
|
9.7 |
5.14.0-611 |
|
|
Windows |
11 25H2 |
— |
|
Operating system |
Supported versions |
Linux kernel version |
|---|---|---|
|
Ubuntu |
24.04.3 |
GA 6.8 |
|
22.04.5 |
GA 5.15 |
|
|
Red Hat Enterprise Linux (RHEL) |
10.1 |
6.12.0-124 |
|
9.7 |
5.14.0-611 |
|
|
Windows |
11 25H2 |
— |
|
Operating system |
Supported versions |
Linux kernel version |
|---|---|---|
|
Ubuntu |
24.04.3 |
HWE 6.14 |
|
Windows |
11 25H2 |
— |
Kernel driver and firmware bundle support#
ROCm requires a coordinated stack of compatible firmware, driver, and user space components. Maintaining version alignment between these layers ensures correct GPU operation and performance, especially for AMD data center products. While AMD publishes the AMD GPU driver and ROCm user space components, your server OEM or infrastructure provider distributes the firmware packages. AMD supplies those firmware images (PLDM bundles), which the OEM integrates and distributes.
|
AMD device |
Firmware |
Linux driver |
|---|---|---|
|
Instinct MI355X |
PLDM bundle 01.25.16.03 |
AMD GPU Driver (amdgpu) |
|
Instinct MI350X |
||
|
Instinct MI325X |
PLDM bundle 01.25.04.02 |
|
|
Instinct MI300X |
PLDM bundle 01.25.03.12 |
|
|
Instinct MI300A |
BKC 26.1 |
|
|
Instinct MI250X |
IFWI 75 (or later) |
|
|
Instinct MI250 |
Maintenance update 5 with IFWI 75 (or later) |
|
|
Instinct MI210 |
|
AMD device |
Linux driver |
Windows driver |
|---|---|---|
|
Radeon AI PRO R9700 |
AMD GPU Driver (amdgpu) |
AMD Software: Adrenalin Edition |
|
Radeon AI PRO R9600D |
— |
|
|
Radeon PRO W7900 Dual Slot |
AMD Software: Adrenalin Edition |
|
|
Radeon PRO W7900 |
||
|
Radeon PRO W7800 48GB |
||
|
Radeon PRO W7800 |
||
|
Radeon PRO W7700 |
||
|
Radeon PRO V710 |
— |
|
AMD device |
Linux driver |
Windows driver |
|---|---|---|
|
Radeon RX 9070 XT |
AMD GPU Driver (amdgpu) |
— |
|
Radeon RX 9070 GRE |
||
|
Radeon RX 9070 |
||
|
Radeon RX 9060 XT LP |
||
|
Radeon RX 9060 XT |
||
|
Radeon RX 9060 |
||
|
Radeon RX 7900 XTX |
AMD Software: Adrenalin Edition |
|
|
Radeon RX 7900 XT |
||
|
Radeon RX 7900 GRE |
||
|
Radeon RX 7800 XT |
||
|
Radeon RX 7700 XT |
|
AMD device |
Linux driver |
Windows driver |
|---|---|---|
|
Ryzen AI Max+ PRO 395 |
Inbox kernel driver |
AMD Software: Adrenalin Edition |
|
Ryzen AI Max PRO 390 |
||
|
Ryzen AI Max PRO 385 |
||
|
Ryzen AI Max PRO 380 |
||
|
Ryzen AI Max+ 395 |
||
|
Ryzen AI Max 390 |
||
|
Ryzen AI Max 385 |
||
|
Ryzen AI 9 HX 375 |
||
|
Ryzen AI 9 HX 370 |
||
|
Ryzen AI 9 365 |
GPU virtualization support#
AMD Instinct data center GPUs support virtualization in the following configurations. Supported SR-IOV configurations require the AMD GPU Virtualization Driver (GIM) 8.7.0K – see the AMD Instinct Virtualization Driver documentation to learn more.
|
AMD GPU |
Hypervisor |
Virtualization technology |
Virtualization driver |
Host OS |
Guest OS |
|---|---|---|---|---|---|
|
Instinct MI355X |
KVM |
Passthrough |
— |
Ubuntu 24.04 |
Ubuntu 24.04 |
|
SR-IOV |
GIM 8.7.0K | ||||
|
Instinct MI350X |
KVM |
Passthrough |
— |
||
|
SR-IOV |
GIM 8.7.0K | ||||
|
Instinct MI325X |
KVM |
SR-IOV |
GIM 8.7.0K |
Ubuntu 22.04 |
Ubuntu 22.04 |
|
Instinct MI300X |
KVM |
Passthrough |
— |
||
|
SR-IOV |
GIM 8.7.0K |
Deep learning framework support#
ROCm 7.11.0 provides optimized support for popular deep learning frameworks. The following table lists supported frameworks, their compatible operating systems, and validated framework versions.
|
Framework |
Supported OS |
Supported framework versions |
|---|---|---|
|
PyTorch |
Linux |
2.9.1, 2.8.0, 2.7.1 |
|
Windows |
2.9.1 |
ROCm Core SDK components#
The following table lists tools and libraries included in the ROCm 7.11.0 release. Expect future releases to expand the list of components.
Important
The following table is a general overview of ROCm Core SDK components. Actual support for these libraries and tools might vary by GPU and OS. Use the Compatibility matrix to verify support for your specific setup.
|
Component group |
Component name |
Support |
|---|---|---|
|
Math and compute libraries |
Composable Kernel | Linux, Windows |
| hipBLAS | ||
| hipBLASLt | ||
| hipCUB | ||
| hipFFT | ||
| hipRAND | ||
| hipSOLVER | ||
| hipSPARSE | ||
| MIOpen | ||
| rocBLAS | ||
| rocFFT | ||
| rocRAND | ||
| rocSOLVER | ||
| rocSPARSE | ||
| rocPRIM | ||
| rocThrust | ||
| rocWMMA | ||
| hipSPARSELt | Linux only (Instinct MI350, M300 Series, Ryzen APUs) | |
|
Communication libraries |
RCCL | Linux only |
|
Support libraries |
ROCm CMake | Linux, Windows |
|
Runtimes and compilers |
HIP |
Linux, Windows |
| HIPIFY | ||
| LLVM | ||
| SPIRV-LLVM-Translator | ||
| ROCr Runtime | Linux only | |
|
Profiling and debugging tools |
ROCm Compute Profiler (rocprofiler-compute) | Linux only (Instinct) |
| ROCm Systems Profiler (rocprofiler-systems) | ||
| ROCprofiler-SDK | Linux only (Instinct, Radeon PRO, Radeon) | |
| ROCdbgapi | ||
| ROCm Debugger (ROCgdb) | ||
| ROCr Debug Agent | ||
|
Control and monitoring tools |
AMD SMI | Linux only (Instinct, Radeon PRO, Radeon) |
| rocminfo | Linux only | |
|
System validation tools |
ROCm Bandwidth Test (RBT) | |
| TransferBench |
Known issues#
The following are known issues identified in ROCm 7.11.0.
DistilBERT model performance regression on AMD Instinct MI350 Series#
The DistilBERT base model experiences reduced GPU kernel performance on Instinct MI350 Series GPUs (gfx950). This issue is under investigation.
ROCgdb GPU core dump limitation#
ROCgdb has a limitation that prevents proper GPU core dumps from being generated. This blocks effective root‑cause analysis of GPU faults. ROCm/rocm-systems PR #2851 introduces a fix to the ROCr Runtime’s core dump generation and will be included in a future release.
Clang illegal instruction error on Radeon GPUs#
Using Clang with the -O0 optimization level on certain supported AMD Radeon PRO
and Radeon GPUs might trigger an illegal instructions detected error. This
failure typically occurs in code paths that use ockl_wfred_* functions, which
handle wavefront operations and synchronization. Projects like llama.cpp are
known to be affected. As a workaround, use -Og optimization level instead of
-O0 for debug builds:
Linux (CMake)
DCMAKE_CXX_FLAGS_DEBUG="-Og -g"
Windows (CMake)
-DCMAKE_CXX_FLAGS_DEBUG="-Og -g -Xclang -gcodeview -D_DEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrtd"
llama.cpp runtime failures on Instinct MI350 Series#
llama.cpp builds successfully but might fail at runtime with the error “HIP kernel mul_mat_q has no device code”. This issue is under investigation.
PyTorch model training validation issues#
The following models failed validation on PyTorch for ROCm 7.11.0 due to compilation errors and other issues: Llama 3.1 8B, Llama 3.1 70B, Llama 2 70B-chat-hf, and DeepSpeed Megatron-LM GPT2.
Apex fails to build using TheRock#
Apex encounters crashes, missing module errors, and segmentation faults related to the HIP runtime during testing with the TheRock build system. This will be fixed in a future release.
PyTorch unit tests freeze on Microsoft Windows#
The test_cublas_config_nondeterministic_alert_cuda and test_graph_error
PyTorch tests fail and hang indefinitely on Windows. This issue will be fixed
in a future release.
HIPRTC rocWMMA unknown type name compilation errors#
Any HIPRTC program using the rocwmma.hpp header will fail to compile and
produce “unknown type name” errors. This issue will be fixed in
a future release. As a workaround, add the following code before including the
rocwmma.hpp header:
typedef signed char int8_t;
typedef unsigned char uint8_t;
typedef unsigned short uint16_t;
typedef unsigned int uint32_t;
hipBLASLt TF32 matmul INF propagation on Instinct MI350 Series#
On Instinct MI350 Series GPUs (gfx950), hipblasLtMatmul with computeType = HIPBLAS_COMPUTE_32F_FAST_TF32 returns NaN instead of propagating INF
values from input tensors. As a workaround, sanitize or clamp tensors before
TF32 matmul operations if acceptable for the workload. This issue will be fixed
in a future release.
rocPRIM unit test fails on Windows on Radeon RX 9060 GPUs#
The rocprim.device_adjacent_find unit test on Windows on Radeon RX 9060 XT
LP, 9060 XT, and 9060 GPUs might hang intermittently. This issue will be fixed
in a future release.
MIOpen unit test runtime compilation failures#
MIOpen unit tests fail to find the rocrand_xorwow.h header during runtime
compilation of certain kernels. This occurs because ROCm can be installed in
various locations and the include path is not automatically resolved. Impact is
minimal as the affected kernel (softmax attention) is not used in production
workloads. This issue will be fixed in a future release.
CRIU checkpoint fails on Instinct MI300X with Debian 13#
ROCm Bandwidth Test (RBT) test cases for Checkpoint/Restore In Userspace (CRIU) fail on Instinct MI300X GPUs running Debian 13. Debian 13 users might experience CRIU failures. This issue will be fixed in a future release.
Multi-node RCCL tests crash intermittently#
Multi-node RCCL tests (such as alltoall_perf, allgather_perf) are
experiencing intermittent crashes on Instinct MI355X GPUs with AINIC NICs. This
issue will be fixed in a future release.
hipify-clang errors with NVIDIA CUDA 12.x#
Users running hipify-clang with CUDA 12.x or later will encounter errors when
processing CUDA source files:
error: must pass in an explicit nvptx64 gpu architecture to 'ptxas'
error: must pass in an explicit nvptx64 gpu architecture to 'nvlink'
As a workaround, explicitly pass the cuda-gpu-arch flag:
hipify-clang --cuda-gpu-arch=sm_70...
This issue will be fixed in a future release.
HIP Graph API tutorial code build fails#
The HIP Graph API tutorial code fails to build on Linux due to a missing -fPIC
compiler flag. To resolve this issue, enable position-independent code in the
main CMakeLists.txt by adding set(CMAKE_POSITION_INDEPENDENT_CODE ON) as in the
fix in ROCm/rocm-examples PR
#408.
Upcoming changes#
Future preview releases will expand support for:
Additional ROCm Core SDK components
Domain-specific expansion toolkits (data science, life science, finance, simulation, and other HPC domains)
Extended AMD hardware support