Choosing a GPU monitoring tool depends on your hardware, workflow, and team size. This post compares the most common options side by side, including their strengths and real limitations.

The Contenders

We are comparing five tools that cover different segments of GPU monitoring:

gpulse — Rust TUI, multi-vendor, leak detection
nvidia-smi — NVIDIA's built-in CLI tool
nvitop — Python TUI for NVIDIA GPUs
btop — C++ general system monitor
Datadog GPU — Enterprise cloud monitoring

GPU Vendor Support

This is the first filter. If you have Apple Silicon, AMD, or Intel GPUs, most tools drop out immediately:

gpulse: NVIDIA, Apple Silicon, AMD, Intel
nvidia-smi: NVIDIA only
nvitop: NVIDIA only
btop: Limited NVIDIA and AMD, no Apple Silicon GPU metrics
Datadog: NVIDIA, limited AMD

For Apple Silicon users running ML workloads on Mac Studio or MacBook Pro, gpulse is currently the only terminal-based option with real GPU metrics.

Memory Leak Detection

This is where the tools diverge significantly. Only gpulse has built-in leak detection with OOM time prediction. nvidia-smi and nvitop show current memory usage but cannot analyze trends. btop does not track GPU memory at the process level. Datadog can alert on memory thresholds, but you have to configure the rules manually — it does not detect leak patterns automatically.

If you are running long training jobs, this matters. A leak that grows at 100 MB/minute is invisible in snapshots but will crash your run in a few hours. Read more about the detection algorithms.

Real-Time Dashboard Quality

nvidia-smi is a snapshot tool, not a dashboard. You can loop it with watch, but there is no history, no multiple views, and no interactivity.

nvitop is a solid TUI with process management, but limited to 3 view modes and NVIDIA only. btop has a polished UI but GPU support is secondary — it is a CPU/memory/disk monitor first.

gpulse offers 7 purpose-built view modes — Grid, Detail, List, Predict, Compare, Topology, and Fleet — each accessible with a single keystroke. The Predict view is unique: it visualizes leak detection output in real time with OOM countdown.

Datadog provides web dashboards with customizable widgets. Powerful, but requires a browser and cloud connectivity.

Pricing

gpulse, nvidia-smi, nvitop, and btop are all free for local monitoring. The cost difference shows up at scale:

gpulse Pro: $29/month for fleet monitoring up to 20 machines
Datadog: $23/host/month minimum, often more with add-ons
nvidia-smi, nvitop, btop: No fleet monitoring capability

For a 10-node cluster, Datadog costs $230+/month. gpulse Pro covers it for $29/month. The tradeoff is that Datadog provides long-term storage and a web UI, while gpulse is terminal-based with SSH fleet access.

Honest Assessment

Every tool has a niche where it is the right choice:

nvidia-smi — quick checks, scripting, environments where you cannot install anything
nvitop — NVIDIA users who want htop-style process management
btop — general system monitoring where GPU is secondary
Datadog — enterprise teams already in the Datadog ecosystem
gpulse — ML engineers who need multi-vendor support, leak detection, or Apple Silicon monitoring

See the full side-by-side feature matrix on the comparison page, or try gpulse with the getting started guide.