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SCATTERED CAPACITY
GPU capacity is spread across clouds, marketplaces and waitlists, making simple jobs hard to place.
01 - THE PROBLEM //
WHERE COMPUTE BREAKS
02 / 03
SETUP OVERHEAD
Teams lose days to drivers, CUDA versions and environment setup before a single job even starts.
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SLOW PROVISIONING
Cold starts, quotas and region limits stall experiments and slow every decision.
02 - THE SOLUTION //
WHERE COMPUTE FLOWS
ONE PLATFORM.
ZERO FRICTION
Unite training, serving and rendering on one GPU cloud — launch, scale and monitor in seconds.
03 - GPU CAPABILITIES //
WHAT THE FLEET UNLOCKS
TRAIN
Train large models on multi-GPU nodes with NVLink, InfiniBand and preinstalled stacks.
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FINE-TUNE
Fine-tune open models on your own data across A100 and H100 clusters.
02 / 04
SERVE
Deploy inference endpoints that autoscale with real traffic and stay online.
03 / 04
RENDER
Render, simulate and visualize on workstation-class L40S and RTX GPUs.
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04 - HOW IT WORKS //
FROM IMAGE TO INSTANCE
05 - GPU INSTANCES //
PICK YOUR POWER
01 / 04
H100 SXM
80 GB HBM3 · 3.35 TB/s · NVLink. Built for frontier training and heavy inference.
DEPLOY02 / 04
L40S
48 GB GDDR6 · 864 GB/s. Inference, rendering and visualization at scale.
DEPLOY03 / 04
A100 80GB
80 GB HBM2e · MIG partitioning. Fine-tune and serve large models for less.
DEPLOY04 / 04
CUSTOM CLUSTER
Reserved H100 capacity with private networking, bare-metal GPUs and custom SLAs.
BUILD YOUR CLUSTER06 - TESTIMONIALS //
FROM THE PEOPLE USING IT
01
“Moving our training stack to GateVia Cloude cut a 9-hour run down to 3.5. Nodes boot in under a minute, and per-minute billing means we only ever pay for real compute.”
“We serve 40 million requests a day on autoscaling L40S endpoints. Capacity follows traffic, and we stopped paying for idle GPUs entirely.”
“Reserved H100 clusters gave us frontier capacity without the waitlist. Private networking and a real SLA make it production-grade.”
07 - INTEGRATIONS //
WHERE SYSTEM MEETS
08 - PRICING //
CHOOSE YOUR COMPUTE
SYS TIER // 01
ON-DEMAND
$0.69 /hr
For solo developers and small teams that need a GPU right now.
- 1× RTX 4090 · 24 GB
- 8 vCPU · 32 GB RAM
- 100 GB NVMe storage
- Per-minute billing
- Community support
- Basic usage dashboard
SYS TIER // 02
RESERVED
$1.99 /hr
For growing teams training and serving around the clock.
- 1× A100 80GB · HBM2e
- 16 vCPU · 128 GB RAM
- 1 TB NVMe storage
- Reserved capacity · 30 days
- Priority support · 4h SLA
- Real-time GPU monitoring
SYS TIER // 03
CLUSTER
starts/ $3.49
For enterprises needing multi-node H100 clusters and private networking.
- Everything in Reserved, plus:
- Up to 64× H100 SXM
- InfiniBand 3.2 Tb/s fabric
- Private VPC & SSO
- Custom SLA guarantee
- 24/7 solutions engineer
09 - FAQ //
BEFORE YOU GET STARTED
Instances boot in under 60 seconds. Every image ships with NVIDIA drivers and CUDA preinstalled, so jobs start immediately.
A dedicated GPU, matched vCPU and RAM, local NVMe storage, a public IP and 1 Gbps egress. Billing runs per minute, so you only pay for compute you use.
Yes. Resize or move between H100, A100, L40S and RTX from the console. Snapshots carry your environment and data across instances.
No. Compute bills per minute while an instance runs. Stopped instances incur storage costs only, and reserved capacity is billed monthly.
Anytime. On-demand instances terminate instantly, and reserved capacity can be released or reduced at the end of the current term.
ENTER A NEW REALM
OF COMPUTE
Book a demo and we’ll show GateVia Cloude running your workloads.
DEPLOY A GPU