The silicon your models actually run on.
SiliconCore is on-demand GPU and bare-metal infrastructure for teams training and serving AI in production — provisioned in under a minute, billed by the minute.
01/
12,400+
GPUs provisioned
02/
99.97%
Fabric uptime
03/
6
Regions live
Running production training on SiliconCore
Infrastructure that gets out of the way
01/Launch in under 60 seconds+
Spin up a GPU instance and get straight to training or inference. No driver installs, no queue — NVIDIA GPUs provisioned on bare metal.
02/Multi-GPU and bare metal+
Choose 8x, 4x, 2x, or 1x GPU instances to fit everything from a quick experiment to a full pretraining run, or go bare metal for full hardware control.
03/Your network, your rules+
Private VPC peering and dedicated InfiniBand fabric between your own nodes — your training traffic never touches the public internet.
04/Hardware support, 24/7+
A node fails, we swap it — usually before your job even finishes retrying. No ticket queue standing between you and a working GPU.
Real visibility into real hardware
gpu-node-014
8x H100 SXM
gpu-node-027
8x H100 SXM
gpu-node-031
4x A100 SXM
gpu-node-009
8x H200 SXM
Transparent pricing, no egress fees
The price on this page is the price on your invoice. Switch between 8x, 4x, 2x, and 1x configurations to see what fits your run.
| GPU | VRAM | vCPUs | RAM | $/GPU/HR |
|---|---|---|---|---|
| H200 SXM | 141 GB | 208 | 2990 GiB | $4.49 |
| H100 SXM | 80 GB | 208 | 1800 GiB | $3.29 |
| A100 SXM | 80 GB | 240 | 1800 GiB | $2.19 |
| A100 SXM | 40 GB | 124 | 1800 GiB | $1.59 |
| L40S PCIe | 48 GB | 64 | 480 GiB | $0.89 |
Built for the teams running real workloads
Teams pretraining foundation models
Multi-week runs on hundreds of GPUs, with InfiniBand fabric built for the checkpoint traffic, not just the compute.
Inference at production scale
Right-sized instances for serving, with per-minute billing so idle capacity doesn't quietly burn budget overnight.
Regulated or security-sensitive workloads
Private VPC, dedicated bare metal, and no shared tenancy when your data governance requirements actually mean it.
Research teams without an ops team
Hardware support and cluster orchestration included, so the team's time goes into experiments, not firmware.
Before you launch a node
What GPUs does SiliconCore actually offer?+
H200, H100, and A100 SXM for multi-GPU training, plus L40S for inference and graphics workloads. New SKUs are added as NVIDIA ships them, not a generation behind.
Is this shared infrastructure or dedicated?+
Both. Instances are single-tenant by default. If you need the whole physical node, bare-metal and private cluster options are available on the Scale plan.
How fast can we actually get GPUs?+
Most standard instance types provision in under a minute. Large multi-node clusters typically take a few hours to a few days, depending on size and region.
Do you charge for data egress?+
No. Pricing is per-GPU-hour with no separate egress line item — the price on the page is the price on the invoice.
Is SiliconCore a new company?+
Yes — we're an early-stage compute infrastructure startup based in Kathmandu. We're deliberately starting with a smaller fleet so every node is one we can stand behind.
Spin up your first cluster today.
No lengthy procurement cycle, no sales call required to get started — just GPUs, provisioned in under a minute.
Launch a GPU