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ROCm Core SDK 7.11.0 release notes

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.

(preview-stream-note)= :::{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 mid2026, 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 {doc}installation instructions </install/rocm> 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 youre 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.

(release-supported-hw)=

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.

::::{tab-set} :::{tab-item} Instinct :sync: instinct

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

:::

:::{tab-item} Radeon PRO :sync: radeon-pro

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

:::

:::{tab-item} Radeon :sync: radeon

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

:::

:::{tab-item} Ryzen AI :sync: ryzen

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

::: ::::
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.

(release-supported-os)=

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 {doc}Compatibility matrix </compatibility/compatibility-matrix> to verify support for your specific setup before installation. :::

::::{tab-set} :::{tab-item} Instinct :sync: instinct

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

:::

:::{tab-item} Radeon PRO :sync: radeon-pro

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

:::

:::{tab-item} Radeon :sync: radeon

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

:::

:::{tab-item} Ryzen AI :sync: ryzen

Operating system

Supported versions

Linux kernel version

Ubuntu

24.04.3

HWE 6.14

Windows

11 25H2

::: ::::

(release-supported-fw)=

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.

::::{tab-set} :::{tab-item} Instinct :sync: instinct

AMD device

Firmware

Linux driver

Instinct MI355X

PLDM bundle 01.25.16.03

AMD GPU Driver (amdgpu)
31.10.0
30.20.1
30.20.0
30.10.2
30.10.1
30.10.0

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

:::

:::{tab-item} Radeon PRO :sync: radeon-pro

AMD device

Linux driver

Windows driver

Radeon AI PRO R9700

AMD GPU Driver (amdgpu)
31.10.0
30.20.1
30.20.0
30.10.2
30.10.1
30.10.0

AMD Software: Adrenalin Edition
26.1.1

Radeon AI PRO R9600D

Radeon PRO W7900 Dual Slot

AMD Software: Adrenalin Edition
26.1.1

Radeon PRO W7900

Radeon PRO W7800 48GB

Radeon PRO W7800

Radeon PRO W7700

Radeon PRO V710

:::

:::{tab-item} Radeon RX :sync: radeon

AMD device

Linux driver

Windows driver

Radeon RX 9070 XT

AMD GPU Driver (amdgpu)
31.10.0
30.20.1
30.20.0
30.10.2
30.10.1
30.10.0

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
26.1.1

Radeon RX 7900 XT

Radeon RX 7900 GRE

Radeon RX 7800 XT

Radeon RX 7700 XT

:::

:::{tab-item} Ryzen AI :sync: ryzen

AMD device

Linux driver

Windows driver

Ryzen AI Max+ PRO 395

Inbox kernel driver
in Ubuntu 24.04.3

AMD Software: Adrenalin Edition
26.1.1

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

::: ::::

(release-virtualization-support)=

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

(release-components)=

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 {doc}Compatibility matrix </compatibility/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 rootcause 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