What Is a GPU?
Security teams understand CPUs.
How GPU Memory Works
GPU memory is not the same as CPU memory.
What CUDA Is
CUDA is NVIDIA's parallel computing platform and programming model.
CUDA Execution Model
The CUDA execution model is the mechanism through which every AI workload uses a GPU.
What GPU Drivers Do
Every GPU security vulnerability in the kernel-mode driver category exists because the GPU driver is an extraordinarily complex piece of software running with k
What a Container Is
A container is not a virtual machine.
NVIDIA Container Toolkit
Every GPU container in production depends on a single software component: the NVIDIA Container Toolkit (NCT).
GPU vs CPU Containers
GPU containers have five security layers, and traditional tools see only two.
What OCI Hooks Are
OCI hooks are the mechanism at the centre of the Container Toolkit vulnerability series.
What the GPU Operator Is
The NVIDIA GPU Operator is the Kubernetes component that automates the deployment and management of everything needed to run GPU workloads in a cluster: the GPU
Kubernetes GPU Scheduling
Kubernetes manages GPU resources differently from CPU and memory.
GPU Device Plugin
The NVIDIA Kubernetes Device Plugin (k8s-device-plugin) is the Kubernetes component responsible for GPU resource allocation and enforcement.
What MIG Is
Multi-Instance GPU (MIG) is NVIDIA's technology for partitioning a single A100 or H100 into multiple isolated GPU instances, each with dedicated compute resources, memory, and cache.
vGPU vs MIG vs Time-Slicing
When an organisation decides to share expensive GPU hardware between multiple users or workloads, it has three primary options: time-slicing, vGPU, or MIG.
K8s Namespace Isolation
Kubernetes namespace isolation is the standard mechanism for separating workloads from different teams, projects, or tenants within a cluster.
Why Runtime Security Misses GPUs
eBPF (extended Berkeley Packet Filter) is the technology that powers modern Linux runtime security tools — Falco, Tetragon, various EDR products.
GPU Telemetry Today
GPU monitoring is mature for operations and performance.
What a CUDA Context Is
A CUDA context is the fundamental unit of GPU resource ownership.
Kernel Hash Verification
GPU kernel hash verification is the technique of computing a cryptographic hash of the compiled GPU kernel code being loaded into a CUDA context and comparing it against a known-good baseline.
Full-Stack GPU Telemetry
Full-stack GPU telemetry means a single, correlated event timeline that spans from the lowest GPU execution level (CUDA kernel launches, UVM memory events) thro
NVIDIA AI Stack
NVIDIA's AI software stack is a collection of interdependent components that together enable AI workloads to run at scale in containerised, Kubernetes-managed environments.
What AMD Instinct Is
AMD Instinct is AMD's line of data centre GPU accelerators designed for AI training and HPC workloads.
What Google TPUs Are
Google's Tensor Processing Units (TPUs) are custom AI accelerators designed and built by Google specifically for machine learning workloads.
What Meta MTIA Is
Meta's Training and Inference Accelerator (MTIA) is a family of custom AI chips designed and deployed by Meta for its internal AI workloads — ranking, recommend
AI Accelerator Security
AI infrastructure runs on four major accelerator ecosystems: NVIDIA GPUs, AMD Instinct, Google TPUs, and Meta MTIA.
NVIDIA Triton Inference Server
NVIDIA Triton Inference Server is the open-source platform organisations use to deploy AI models for production inference.
What NVFLARE Is
NVIDIA Federated Learning Application Runtime Environment (NVFLARE) is the software that enables multiple institutions to collaboratively train AI models without sharing raw data.