NEW! EPYC + NVMe based VPS

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Unmetered + Powerful

GPU Servers

High-performance GPUs, flexible configurations, and unmetered bandwidth to power AI, rendering, HPC, and streaming workloads at scale.

Choose your AI server
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AI Servers

GPU servers built for AI, rendering, HPC, and streaming - with unmetered bandwidth at global scale

Edge AI

  • AMD EPYC CPU
  • NVIDIA L4/L40s/H100
  • 10/100 Gbps Unmetered

From:

$1,500/month

Set-up fee:

$1,000
Configure now
  • 1U server
  • AMD EPYC 9124/9354
  • 192/384/768 GB RAM
  • 3.84/7.68/15.34 TB NVMe

  • Locations: US/EU/APAC
  • Root access
  • /29 IPv4 IP addresses (4 usable)
  • /64 IPv6 on request

Core AI

  • AMD EPYC CPU
  • 2/4/8 x NVIDIA L4/L40s/H100
  • 10/100 Gbps Unmetered

From:

$4,200/month

Set-up fee:

$2,800
  • 4U server
  • AMD EPYC 9124/9354/9454/9654 CPU
  • 384/768 GB DDR5 4800MHz RAM
  • 3.84/7.68/15.34 TB NVMe Gen5

  • Locations: US/EU/APAC
  • Root access
  • /29 IPv4 IP addresses (4 usable)
  • /64 IPv6 on request

Max AI

  • 2 x AMD EPYC CPUs
  • 4/8 x L40s/H200/RTX PRO 6000
  • 10/100 Gbps Unmetered

From:

$7,620/month

Set up fee:

$5,080
  • 8U server
  • 2 x AMD EPYC 9135/9355/9455/9555 CPU
  • 384/768/1536 GB DDR5 4800MHz RAM
  • 2 x 960GB SSD
  • 3.84/7.68/15.34 TB NVMe Gen5

  • Locations: US/EU/APAC
  • Root access
  • /29 IPv4 IP addresses (4 usable)
  • /64 IPv6 on request

NVIDIA GH200 Special

The QuantaGrid S74G-2U with NVIDIA GH200 Grace Hopper delivers consistent, scalable performance, optimized for large-scale AI inference and HPC.

  • QuantaGrid S74G-2U
  • GH200 Grace Hopper SuperChip 96GB
  • 72C Little Endian ArmV9
  • 480GB RAM

  • 10/100 Gbps Unmetered
  • 1.92TB NVME SSD (E1.S)
  • 960GB NVME SSD (M.2)
  • $5,625 /month
Order now

Need a different set-up?

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Features

Why Choose FDC For Your GPU

GPUs by workload usage

High-End Compute

Best for large-scale AI training, inference, and HPC (high performance computing) where budget is secondary to performance.

Top-tier for massive models and compute-heavy HPC.
NVIDIA H200 NVL
Flagship for training, inference, and advanced research.
NVIDIA H100 NVL
Hybrid CPU–GPU with coherent memory, ideal for HPC + inference at extreme scale.
NVIDIA GH200

Versatile & Efficient

Best for organizations balancing performance and cost, covering AI, rendering, and virtualized workloads.

Balanced compute + graphics, strong for training, rendering, and VDI.
RTX PRO 6000 Blackwell
Efficient production GPU for training and inference.
NVIDIA L40s
Small form factor, energy-efficient, optimized for inference and virtual environments.
NVIDIA L4

Ready to order?

Choose your AI server

Performance statistics

GPU line-up

Detailed Specifications

Our fleet spans the latest NVIDIA GPUs, from inference-optimized cards to multi-GPU compute platforms. The table below details key performance metrics, memory capacity, and workload suitability so you can match the right hardware to your AI, rendering, or HPC needs.

 

* denotes theoretical performance using sparsity

MetricL4L40SH100 NVLH200 NVLGH200RTX PRO 6000 Blackwell SE
ArchitectureAda LovelaceAda LovelaceHopperHopperGrace+HopperBlackwell
Card chipAD104AD102GH100GH1001xGrace+1xH100GB202
# CUDA cores7 68018 17616 89616 89616 89624 064
# Tensor cores240568528528528752
FP64 (TFlops)0,491,413034341.968
FP64 Tensor (TFlops)606767
FP32 (TFlops)30,391,6606767126.0
TF32 Tensor (TFlops)120*366*835*989*989*
FP16 Tensor (TFlops)242*733*1 671*1 979*1 979*
INT8 Tensor (TOPS)FP8 485*1 466*3 341*3 958*3 958*
FP8 (TFlops)1 466*9 000*
FP4 (TFlops)18 000*4 000*
GPU memory24 GB48 GB94 GB141 GB96 GB or 144 GB96 GB
Memory technologyGDDR6GDDR6HBM3HBM3eHBM3 or HBM3eGDDR7
Memory throughput300 GB/s864 GB/s4.8 TB/s4.8 TB/s4 or 4.9 TB/s1.6 TB/s
Multi-Instance GPUvGPUvGPU7 instances7 instances7 instances4 instances
NVENC | NVDEC | JPEG engines2 | 4 | 43 | 3 | 40 | 7 | 70 | 7 | 70 | 14 | 144 | 4 | 4
GPU linkPCIe 4PCIe 4NVLink 4NVLink 4NVLink 5PCIe 5
Power consumption40-72W350 W400W600W1000W (total)600 W

GPU deployment locations

Connecting the world

faq

Frequently asked questions

Our GPU Servers come with month to month contracts as standard, however our sales team are happy to discuss discounts based on longer terms or multiple GPU Servers

FDC GPU Servers can be customized via the order process with many options - however, should you require something more custom our sales team will be happy to give you a quote for any requirement.

As FDC GPU Servers are built on demand and can be customized to your needs there is a lead time for deployment - currently this is up to 1 week for North America, up to 2 weeks for Europe and can be up to 2-3 weeks for APAC and LATAM. However, this may also be considerably quicker depending on configuration - please talk to our sales team who will be happy to give you a lead time based on your requirements.

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