Rent GPUs on demand. Earn from idle GPUs.
Rent GPU compute on demand, or list idle hardware and earn by the second.
Illustrative. Sample figures, not live marketplace metrics.
Now supporting
Runs your entire stack
Bring your framework, image, or orchestrator. It runs unchanged on marketplace GPUs.
Sample capacity figures. Labeled until live marketplace data is verified.
Two-sided marketplace
One marketplace, both directions
Rent compute when you need it, earn from it when you don't. Every GPU on the platform is someone's spare capacity.
Rent the compute you need
- Launch H100s and A100s in seconds. Single GPU to multi-node clusters
- Per-second billing with no egress fees or minimums
- Bring your own image, framework, and tooling. Zero lock-in
Earn from idle hardware
- List the GPUs you're not using and set them to auto-rent
- Earn on every hour rented, paid out on a rolling schedule
- Vetted demand and isolation keep your machines safe
Fleet preview
One marketplace, both sides of the trade
Every card shows sample utilisation, temperature and VRAM. Flip the switch to see it from a renter's or an owner's seat.
sample telemetry · 6 listings shown · hover a card
Why Kracht
The marketplace advantage
Kracht gives AI teams the speed and scale to take models from concept to production. Without the lock-in or the markup.
Illustrative. Sample figures, not live marketplace metrics
Up to 70% lower cost
Market-driven pricing puts idle capacity to work. Often a fraction of hyperscaler rates for the same silicon.
Per-second billing
Pay only for the seconds you run. No minimums, no egress fees, no surprises on the invoice.
Instant capacity
Thousands of listed GPUs in the marketplace preview. Spin up a single card or scale out to a multi-node cluster in seconds.
Earn from idle hardware
List the GPUs you're not using and turn depreciating silicon into a steady, automatic income stream.
The platform
Everything you need to ship
Compute, storage, and networking that work the way ML teams do: modular, metered per second, and ready in seconds.
Single-GPU to 8× nodes, provisioned in seconds and billed by the second. H100, A100, L40S, and consumer cards.
Multi-node training with high-bandwidth interconnect and orchestration built in. Scale out without the setup.
Autoscaling, low-latency serving for models in production, with traffic-based scaling and zero idle cost.
Versioned, deduplicated storage that mounts straight into your instances. No slow copies before every run.
Network-attached NVMe that survives instance restarts, so your checkpoints and environments stick around.
VPC peering, private registries, and locked-down egress for workloads that can't touch the public internet.
Global marketplace
Compute everywhere you need it
Capacity is pooled across 40+ regions and routed to wherever it's cheapest and closest to your data. Automatically.
Illustrative. Sample figures, not live marketplace metrics.
Explore the network →
The workflow
Develop, train, deploy. On one platform
Spin up a notebook or container in seconds and start building. No queue, no setup, no waiting on capacity.
Instant access to blazing-fast H100s and A100s. A notebook or container, ready in seconds.
Save up to 70% on compute
Spend far less than the major public clouds or buying your own servers.
Predictable costs
Scale when you need, stop paying when you don't. Pay only for what you use.
No commitments
Switch instance types anytime for the right mix of cost and performance. Cancel anytime.
Example: 5 instances · one month constant usage · ~70% saved
Train and fine-tune on H100 and A100 clusters. Then watch it learn. Switch to the run view to see the loss curve, throughput and logs stream in real time, and grab the scrubber to rewind to any step.
Train and fine-tune on blazing-fast H100 and A100 clusters, with a world-class developer experience.
- Single GPU to 1,024-GPU clusters
- NVLink & InfiniBand interconnect
- PyTorch · JAX · TensorFlow. Zero setup
- Checkpoints on persistent, encrypted volumes
- Loss & throughput monitoring
llama-3-8b · finetune
8× H100 · bf16 · us-east
Your control plane. Run the whole marketplace from one console. Spin up instances, switch between running GPUs to tail their logs, and flip to usage to see exactly what each one is costing or earning, per second.
Developer experience
One platform, three surfaces
Console, terminal, or raw HTTP. The same marketplace underneath. Try the real shell right here.
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