Raw GPU power, metered by the second.
Spin up a single H100 or an 8-card cluster in the time it takes to read this sentence. No procurement. No 18-month lease. No idle invoice. Just compute that turns on when you do.
- 0sec median cold start
- 0GPUs across 4 regions
- 0fleet uptime, trailing 90d
The fleet, breathing.
Every cell is a node in the Magnit fleet. Bright means it's computing; dim means it's idle and yours to claim. This isn't a screenshot — it ticks while you watch. Hover any node.
Pick your silicon.
Every card is bare-metal, NVLink-ready, and yours alone — no noisy neighbors, no virtualization tax. Filter by what your workload actually needs.
Watch them race.
Same job — one epoch of Llama-3-8B — three cards, one start line. Pick your contenders and hit go. The pace is real relative throughput, not vibes.
Don't take our word for it. Type.
This is the actual Magnit console. Spin up a cluster, run a benchmark, read the
bill, tear it down — right here. Start with help, or just hit
↑ for the last command.
Do the math before you commit.
Drag the dials. We'll show you the bill in real time — to the second, the way you'll actually be charged. No "contact sales" wall.
Three steps. No sales call.
-
01
Pick & provision
Choose a card, set your cluster size, and hit launch. The fleet allocates bare-metal in seconds — no queue, no quota form.
$ magnit up --gpu h100 --n 8 -
02
Connect & run
SSH, Jupyter, or one-click container. Your data mounts over NVMe at 12 GB/s. CUDA, PyTorch, and JAX images are pre-warmed.
$ ssh node-01.magnit.run -
03
Stop & pay for what ran
Tear it down when the job finishes. The meter halts the instant the process exits. You see the line item before you're charged.
$ magnit down — total: $14.62
Straight answers.
Your idle credits are someone else's training run.
Stop renting the wrong way. Compute should turn on when you do.
Launch the console