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GPU Servers

Dedicated NVIDIA GPU bare metal servers for AI, ML, and HPC. On-demand procurement at HostupCloud's Bangalore datacenter (AS154111). T4 to H100, multi-GPU, GPU VPS, and GPU colocation.

GPU Servers

Rent dedicated NVIDIA GPU bare metal servers for AI/ML training, inference, high-performance computing, and rendering workloads. HostupCloud operates an on-demand procurement model — we source GPU hardware at the best market price when you order, eliminating inventory overhead and passing the savings to you.

Location: Frazer Town, Bangalore, Karnataka, India | Own DC | AS154111

Why HostupCloud GPU Servers?

  • Bare metal — 100% GPU TFLOPS with no vGPU overhead. Full root access to the hardware, no hypervisor in the way.
  • Cheapest in India — 50-70% cheaper than AWS/GCP GPU instances, competitive with E2E Networks and other Indian providers.
  • On-demand procurement — Zero inventory risk. We buy at the best market price when you order, so you get the lowest possible cost.
  • Bangalore DC — Less than 5ms latency to South India, operating under our own AS (AS154111) with IRINN-allocated IP space.
  • Hybrid cloud — Free internal traffic between GPU servers and HUC S3 object storage or CPU cloud instances.
  • Indian data residency — Your data stays in India. Compliant with RBI data localization and DPDP Act requirements.
  • Transparent pricing — Fixed monthly rack fee + metered energy. No hourly billing surprises, no hidden surcharges.

GPU Bare Metal Plans

All plans include dedicated bare metal hardware with full root access. Prices represent the monthly server fee only; energy is metered separately.

PlanUSD/moGPUVRAMvCPUsRAMNVMeBandwidth
huc.gpu.t4$195.531× T416 GB1664 GB500 GB100 Mbps
huc.gpu.l4$315.011× L424 GB1664 GB500 GB100 Mbps
huc.gpu.a30$380.191× A3024 GB1664 GB500 GB100 Mbps
huc.gpu.a6000$456.221× RTX A600048 GB1664 GB1 TB200 Mbps
huc.gpu.l40s$706.171× L40S48 GB32128 GB1 TB200 Mbps
huc.gpu.a100-40$858.141× A10040 GB32128 GB1 TB200 Mbps
huc.gpu.a100-80$1,075.391× A10080 GB32128 GB1 TB200 Mbps
huc.gpu.h100$1,901.151× H10080 GB64256 GB2 TB500 Mbps

All prices are monthly rack fees in USD, excluding GST. Energy is metered separately at $0.1304/kWh (₹12/kWh).

Multi-GPU Configurations

For large-scale training, fine-tuning, and distributed inference workloads.

PlanUSD/moGPUVRAMvCPUsRAMNVMeBandwidth
huc.gpu.2xa100$2,053.232× A100 80GB160 GB64256 GB2 TB500 Mbps
huc.gpu.4xa100$3,791.444× A100 80GB320 GB128512 GB4 TB1 Gbps
huc.gpu.8xh100Custom8× H100 80GB640 GB2561 TB8 TB1 Gbps

Multi-GPU and 8×H100 configurations require 6-month minimum commitment. Contact sales for custom configurations.

Included with All Plans

  • IPv4 + IPv6 /64 at no extra cost
  • IPMI / KVM-over-IP access for remote management
  • Power + cooling included (energy metered separately at the rack PDU)
  • Pre-installed NVIDIA drivers, CUDA toolkit, and cuDNN
  • 24/7 biometric datacenter access
  • 24/7 NOC monitoring with GPU health alerts
  • No setup fee
  • Hybrid cloud: free internal traffic to HUC S3 and CPU VPS

GPU VPS (MIG Partitions)

NVIDIA A100 Multi-Instance GPU (MIG) technology splits a single A100 into up to 7 fully isolated GPU instances. Each partition has its own dedicated VRAM, compute cores, and memory bandwidth — no noisy-neighbor effects. Available when A100 hardware is in stock.

PlanUSD/moGPU ShareVRAMvCPUsRAMNVMeBandwidth
huc.gpu.vps-s$162.941/7 A100 MIG10 GB416 GB100 GB50 Mbps
huc.gpu.vps-m$293.292/7 A100 MIG20 GB832 GB200 GB100 Mbps
huc.gpu.vps-l$456.223/7 A100 MIG40 GB1664 GB500 GB100 Mbps
huc.gpu.vps-full$966.76Full A10080 GB32128 GB1 TB200 Mbps

GPU VPS availability depends on A100 hardware being in stock. Contact sales to confirm.

GPU Colocation

Bring your own GPU server hardware to the HostupCloud datacenter. GPU colocation plans include higher kW reservations than standard colocation to accommodate the significantly higher power draw of GPU servers.

PlanUSD/moSpacekW ReservedBandwidthIPv4Energy
huc.gpu.colo-2u$54.312U1.5 kW50 Mbps1 IP₹12/kWh
huc.gpu.colo-4u$92.334U3.0 kW100 Mbps2 IPs₹12/kWh
huc.gpu.colo-half$271.5621U8.0 kW200 Mbps4 IPs₹12/kWh
huc.gpu.colo-full$456.2242U15.0 kW500 Mbps8 IPs₹12/kWh

GPU colocation uses the same two-part pricing as standard colocation: fixed rack fee + metered energy.

How It Works (On-Demand Procurement)

  1. Browse GPU options on hostupcloud.com — compare plans, GPUs, and pricing.
  2. Check availability — submit an inquiry or contact sales directly.
  3. HUC confirms availability & price within 24-48 hours based on current market conditions.
  4. Pay 3-month advance (first month + security deposit) to initiate procurement.
  5. HUC procures GPU hardware — sourced from authorized distributors (5-10 business days).
  6. Hardware installed & configured — racked, cabled, OS and drivers installed, network provisioned.
  7. Go live — credentials and access details delivered, server is yours.

Minimum commitment: 3 months for single-GPU, 6 months for 8×H100. 30-day cancellation notice required.

Commitment Discounts

Longer commitments earn a discount on the monthly server fee. Energy charges are always billed at the standard metered rate.

CommitmentDiscount
3-month (minimum)0%
6-month5%
Annual10%
2-year15%

Discounts apply to the monthly server fee only. Energy charges are always billed at the standard metered rate.

Energy Billing

GPU servers consume significant power. Energy is metered at the rack PDU and billed at $0.1304/kWh (₹12/kWh). The total monthly cost is server fee + metered energy.

Typical energy costs by GPU configuration:

GPUTypical DrawEnergy Cost/mo
T4 (70W) + Server~200W~$19/mo
L4 (72W) + Server~250W~$24/mo
A100 80GB (300W) + Server~500W~$48/mo
H100 (700W) + Server~900W~$86/mo
4× A100 (1200W) + Server~1.5 kW~$143/mo

Hybrid Cloud Integration

One of the key advantages of GPU servers at HUC is seamless integration with the rest of the cloud platform:

  • Free internal traffic between GPU servers and HUC S3 object storage
  • Free internal traffic to HUC CPU cloud compute instances
  • Private VLAN between GPU and cloud resources for secure, low-latency communication
  • Store models and datasets on S3, serve inference via CPU VPS, train on GPU — all with zero internal transfer cost
  • Zero egress cost for all internal traffic within the HUC network

Next Steps

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