Dedicated GPU capacity,
tuned by our engine.
NVIDIA, AMD, TPU and Trainium clusters running the inference stack our agents keep optimizing.
Want to check where you can find GPUs? Check Aquanode.io Live GPU inventory
NVIDIA GPUs are not
the only option.
We bring “CUDA” to every chip.
CUDA is the reason most teams never look past one vendor. TokenFactory gives AMD, TPU and Trainium the same thing: a mature software layer that makes your models fast from day one.
Write once, run on any chip
Your model runs unchanged on NVIDIA, AMD, TPU and Trainium. The engine handles what is different underneath.
Kernels written by agents
The loop writes, profiles and verifies the low-level kernels for each chip, the work that makes CUDA hard to leave.
Buy the capacity you can get
Pick the chip with the best price and availability, not the one your software is stuck on.
Pick your chip.
We bring the stack.
Self-serve cluster creation is not open yet. Tell us what you need and we'll come back with capacity and pricing.
| Accelerator | Vendor | Memory / chip | Availability |
|---|---|---|---|
| HGX B300 | NVIDIA | 288 GB HBM3e | Request capacity |
| HGX B200 | NVIDIA | 180 GB HBM3e | Request capacity |
| HGX H200 | NVIDIA | 141 GB HBM3e | Request capacity |
| H200 NVL | NVIDIA | 141 GB HBM3e | Request capacity |
| H100 | NVIDIA | 80 GB HBM | Request capacity |
| H100 NVL | NVIDIA | 94 GB HBM3 | Request capacity |
| GH200 | NVIDIA | 96 GB HBM3 | Request capacity |
| A100 80GB | NVIDIA | 80 GB HBM2e | Request capacity |
| A100 40GB | NVIDIA | 40 GB HBM2 | Request capacity |
| RTX PRO 6000 | NVIDIA | 96 GB GDDR7 | Request capacity |
| L40S | NVIDIA | 48 GB GDDR6 | Request capacity |
| L40 | NVIDIA | 48 GB GDDR6 | Request capacity |
| A40 | NVIDIA | 48 GB GDDR6 | Request capacity |
| RTX PRO 5000 | NVIDIA | 48 GB GDDR7 | Request capacity |
| RTX 6000 Ada | NVIDIA | 48 GB GDDR6 | Request capacity |
| RTX A6000 | NVIDIA | 48 GB GDDR6 | Request capacity |
| GeForce RTX 5090 | NVIDIA | 32 GB GDDR7 | Request capacity |
| GeForce RTX 4090 | NVIDIA | 24 GB GDDR6X | Request capacity |
| A10 | NVIDIA | 24 GB GDDR6 | Request capacity |
| Quadro RTX 6000 | NVIDIA | 24 GB GDDR6 | Request capacity |
| Tesla V100 | NVIDIA | 16-32 GB HBM2 | Request capacity |
| TPU v6e (Trillium) | 32 GB HBM | Request capacity | |
| Instinct MI355X | AMD | 288 GB HBM3E | Request capacity |
| Instinct MI350X | AMD | 288 GB HBM3E | Request capacity |
| Instinct MI325X | AMD | 256 GB HBM3E | Request capacity |
| Instinct MI300X | AMD | 192 GB HBM3 | Request capacity |
| Gaudi 2 | Intel | 96 GB HBM2E | Request capacity |
| TPU7x (Ironwood) | 192 GiB HBM | Coming soon | |
| Gaudi 3 | Intel | 128 GB HBM2e | Coming soon |
| Trainium3 | AWS | 144 GB HBM3e | Coming soon |
Pay the way
you run.
On-demand
Pay by the hour, no term
Preemptible
Cheaper; can be reclaimed on short notice
Reserved
Fixed window, priced per request
Tuned out of the box
Clusters run the same agent-optimized inference stack that serves our own models.
Heterogeneous by design
NVIDIA, AMD, Google TPU and AWS Trainium behind one platform, so each workload lands on the right chip.
Priced to your commitment
Preemptible, on-demand or reserved. Pricing is quoted per request, based on commitment, region and capacity.
Tell us what
you need.
Email us the accelerator, how many GPUs and which commitment fits, and we'll reply with capacity and pricing.
contact@zeus.rocks