What AMD Instinct Is: The Data Centre GPU Line, ROCm, and Its Security Posture
For executives
AMD Instinct is AMD's line of data centre GPU accelerators designed for AI training and HPC workloads. The MI300 series — particularly the MI300X with 192GB of HBM3 — has attracted significant AI infrastructure adoption as an alternative to NVIDIA's H100/H200, primarily for large language model inference where GPU memory capacity is the binding constraint. AMD's software stack for these accelerators is called ROCm. This article covers what the Instinct line is, what ROCm provides, and how AMD's security posture compares to NVIDIA's as the two ecosystems attract increasing research attention.
The AMD Instinct accelerator line
AMD's data centre accelerator family, as of 2025-2026:
MI300X: 192GB HBM3, 5.3 TB/s memory bandwidth. The flagship for large model inference — the memory capacity advantage over NVIDIA's 80GB H100 is significant for models that do not fit on a single GPU.
MI300A: an APU (Accelerated Processing Unit) combining a CPU and GPU on the same package with unified memory, targeting HPC workloads.
MI308X: higher-memory variant of the MI300X series.
MI325X: the successor to MI300X, with 288GB HBM3.
MI250: the previous generation, still widely deployed.
MI210: older generation, still in production at many organisations.
These are the hardware products affected by the CVEs in this library: CVE-2024-36342 (heap overflow), CVE-2024-21969 (Whispering Pixels), and the AMD-SB-6016 MI300X management vulnerabilities.
ROCm: AMD's open-source GPU software stack
ROCm (Radeon Open Compute) is AMD's open-source software stack for GPU computing. Unlike NVIDIA's CUDA (which is proprietary), ROCm is fully open-source and available on GitHub. ROCm includes:
HIP (Heterogeneous-Compute Interface for Portability): AMD's CUDA-compatible programming language. HIP code can run on both AMD and NVIDIA GPUs.
ROCm runtime libraries: equivalents to CUDA runtime, cuBLAS, cuDNN, and other CUDA libraries.
ROCm driver: the kernel module (amdgpu) for AMD GPUs — this is the driver that CVE-2024-36342 and CVE-2024-36352 affect.
Unlike the NVIDIA GPU driver, amdgpu is open-source and part of the Linux kernel's mainline codebase. This provides a different security tradeoff: the code is auditable by anyone, which is a security advantage, but it also means that when vulnerabilities are found, the fix timeline depends on the Linux kernel's patch review process.
ROCm's Kubernetes and container integration
AMD does not have an equivalent to the NVIDIA Container Toolkit — there is no separate AMD container runtime shim. GPU access for AMD GPUs in containers is handled via device plugin integration and standard Linux device file access without the hook-based architecture that produced NVIDIA's Container Toolkit CVE series.
This is a security advantage for AMD in the specific attack class that the NVIDIA Container Toolkit's OCI hooks enabled. The hook-based GPU initialisation model — which created CVE-2024-0132, CVE-2025-23359, and CVE-2025-23266 — does not exist in ROCm's container integration.
AMD does have a Kubernetes device plugin for GPU resource scheduling, and the standard container isolation mechanisms apply.
Security posture comparison
NVIDIA has a dedicated security bulletin programme (PSIRT), publishes bulletins quarterly, and now distributes them in machine-readable formats via GitHub. CVE volume has been high: 57 CVEs in 2025 versus 12 in 2024.
AMD publishes security bulletins less frequently and with less detail than NVIDIA. The AMD-SB-6018 and AMD-SB-6016 bulletins covered significant vulnerabilities but AMD's disclosure infrastructure is less developed than NVIDIA's.
The core security difference: NVIDIA's CVE volume is higher because NVIDIA hardware is deployed at greater scale, which attracts more research. AMD Instinct adoption is growing rapidly, and the research attention will follow. CVE-2024-36342 (heap overflow in the MI300 driver) and CVE-2024-21969 (Whispering Pixels) represent the beginning of serious AMD GPU security research, not the entirety of it.