MarsAI · GPU BARE METAL

Dedicated GPU servers
no virtualization layer

Self-host, fine-tune, deploy privately — your compute, in your hands. Bare metal for maximum performance — no virtualization overhead, full InfiniBand, top GPUs on demand.

BARE METAL · DEDICATEDAVAILABLE
NVLINKH100H100H100H100H100H100H100H100
8 × H100 SXM · 80GB HBM3 · NVLink 900 GB/sDedicated · hourly / monthly

01·SOLUTIONS

The right GPU for every workload

Start with what you're running, then choose by scenario. Four common workloads with recommended configs — full specs and pricing in the table below.

Self-hosted inference

Deploy open models on dedicated GPUs — high-throughput, large-context inference for your agents.

H100 SXMH200 SXM
from $1.99/GPU·hrBest for: agent serving, LLM inference

Fine-tune & train

Train or fine-tune on your own cards — near-linear NVLink multi-GPU scaling, your data never leaves your environment.

H100 SXMA100 SXMB200 SXM
from $1.59/GPU·hrBest for: full / LoRA fine-tune, training

Private & compliant

Model and data stay in your environment on a physically isolated, dedicated machine — built for compliance and private deployment.

H100 SXMA100 SXM
from $1.59/GPU·hrBest for: compliance, private deployment

Batch & rendering

Bulk offline inference, rendering and other cost-sensitive jobs — hourly elastic, cheaper monthly.

RTX 4090RTX 5090RTX A6000
from $0.59/GPU·hrBest for: batch inference, offline jobs, rendering

02·SPECS & PRICING

Transparent specs. Transparent pricing

One pricing unit — per GPU-hour — with InfiniBand and VRAM right in the table. Monthly reserved is about 30% off.

ModelGPUsVRAM / GPUvCPUSystem RAMNVMeNetwork / InfiniBandHourly ($/GPU·hr)Monthly reserved ($/GPU·hr)
RTX 4090Proven · value824GB GDDR6X96512GB4TBPCIe 4.0$0.59~$0.41
RTX 5090NEWNext-gen Blackwell832GB GDDR796512GB4TBPCIe 5.0$0.99~$0.69
RTX A6000Inference / render848GB GDDR61281TB8TBPCIe 4.0$1.29~$0.90
A100 SXMClassic training880GB HBM2e1922TB8TBNVLink 600 GB/s + RDMA$1.59~$1.11
H100 SXMBest value880GB HBM32242TB16TBNVLink 900 GB/s + RDMA$1.99~$1.39
H200 SXMLarge context8141GB HBM3e2242TB16TBNVLink 900 GB/s + RDMAContactContact
B200 SXMNEWTop performance8192GB HBM3e2244TB30TBNVLink 1.8 TB/s + RDMAContactContact
GB200 NVLNEWFlagship clusterContact192GB HBM3eContactContactContactNVLink 1.8 TB/sContactContact

Prices are indicative starting rates (). Monthly reserved starts from a 1-month commitment — longer commitments cost less per hour; top-end models like the B200 are quote-based, with starting prices on request; contact sales for large clusters and custom SLAs.

03·WHY BARE METAL

Why Bare Metal, not a VM

You get a whole physical machine, not a sliced virtual instance. Four points — all in the specs, all in the bill.

0

Zero virtualization overhead

Direct physical GPU access, no hypervisor tax — Direct access to the physical GPU for your workload.

1:1

Dedicated · single-tenant

The whole server is yours — no noisy neighbors, predictable and reproducible performance.

3.2T

Full NVLink + InfiniBand

8-GPU NVLink within the node, 3.2Tb/s InfiniBand across nodes — bandwidth never bottlenecks multi-GPU.

$0

Transparent · 0 egress

Priced per GPU-hour, no charge for traffic in/out, no hidden line items.

04·PERFORMANCE & SCALE

Tuned for throughput, built to scale out

Squeeze every FLOP from the silicon — then run the same workload across the whole cluster.

Performance

CUDA acceleration

Native CUDA on raw silicon — nothing between your kernels and the GPU.

TensorRT optimization

Compiled, fused engines for lower latency and higher tokens/sec on NVIDIA cards.

KV cache optimization

Paged KV cache and prefix reuse keep long-context inference fast and memory-efficient.

Scale

Horizontal scaling

Add nodes on demand — throughput grows near-linearly as the fleet scales out.

Multi-node inference

Shard large models across nodes over 3.2 Tb/s InfiniBand, NVLink inside each.

Load balancing

Requests spread across healthy GPU nodes automatically, with failover built in.

05·TRUST & DATA

Production-ready, your data is yours

Stable performance is the floor; isolation, data ownership and compliance are spelled out too.

Single-tenant isolation

Physically dedicated machine — no neighbors, clear security boundary, reproducible results.

Never trained on

Your data stays on your machine, never used for any model training.

A real company

Operated by MarsAI LIMITED (registered in Denver, Colorado, USA).

06·GET STARTED

Up and running, hourly or monthly

No tickets, no day-long setup — get a dedicated machine the moment your account is enabled.

Ready to run

CUDA, drivers and common frameworks pre-installed; training / inference templates out of the box.

Hourly / monthly

Billed per GPU-hour, ~30% off with a monthly reservation, stop anytime.

0 egress

No charge for traffic in/out — move models and data with no hidden bill.

07·SYSTEM ARCHITECTURE

Inside the bare-metal stack

The load balancer fans every request out across parallel GPU nodes — each running the model runtime directly on raw silicon, with no virtualization in the path.

requestscheduleGPU CLUSTER · BARE METALdistributeH100GPU nodeH200GPU nodeGB200GPU nodeinferenceAPIOpenAI-compatibleSchedulerqueue · prioritizeLoad Balancerroute across nodesModel Runtimeinference · streaming

06·FAQ

Frequently asked

Q1How is the GPU billed?

Per GPU-hour, metered to the minute. Monthly reserved is ~30% off; failed or never-started instances aren't billed.

Q2How do commitments work?

Flexible. Hourly has no commitment — stop anytime; monthly reserved starts at 1 month, longer terms cost less per hour ().

Q3Any network / traffic fees?

No. Traffic in and out (egress) is not charged separately.

Q4Will you use my data?

No. Bare Metal is single-tenant; data stays on your machine and is never used for any training.

Q5How do I buy a large cluster?

Contact sales. For clusters beyond self-serve size, custom SLAs, SSO and more, we'll quote you directly.

Dedicated compute. In your own hands

Dedicated machines, transparent pricing, zero egress — launch in minutes.