NVIDIA H100 80GB Confidential GPU Compute

Rent NVIDIA H100 80GB HBM3 GPUs with Intel TDX confidential computing from $5.00 per hour with per-second billing. Hopper architecture, 3.35 TB/s memory bandwidth, 700W TDP. Serve inference, fine-tune models up to 30B parameters, and run batch processing with hardware-sealed isolation. AES-256 memory encryption, trust-domain GPU isolation, zero data retention, hardware attestation. GDPR Article 28 processor obligations, DPA available. Deploy in minutes, first hour free with your first top-up of $10 or more. AWS p4d.24xlarge equivalent costs ~$32/h vs $5.00/h on VoltageGPU.

Compare with the larger NVIDIA H200 141GB (Hopper-refresh, 4.8 TB/s) and the next-gen NVIDIA B200 180GB (Blackwell, native FP4). See the full cloud GPU pricing comparison vs AWS, GCP, and Azure and the Intel TDX confidential computing architecture.

Confidential GPU

NVIDIA H100

80 GB HBM3, Intel TDX

The industry-standard AI GPU, sealed inside Intel TDX hardware enclaves. 80 GB HBM3, 3.35 TB/s bandwidth, Hopper architecture. Serve inference, fine-tune, and batch process with zero data exposure.

$5.00/GPU/hour
Deploy H100 Now How It Works
Specifications

Hardware Details

GPUNVIDIA H100
VRAM80 GB HBM3
ArchitectureHopper
Memory Bandwidth3.35 TB/s
TDP700W
Confidential ComputingIntel TDX ✓
Per-second billingYes ✓
Use Cases

Built For

Production Inference

Serve confidential inference with low latency. Ideal for regulated APIs handling sensitive client data.

Confidential Training

Train models on proprietary data inside hardware enclaves. Your training data never leaves the sealed environment.

Batch Processing

Process large volumes of confidential documents, contracts, or medical records in sealed GPU memory.

Development & Testing

Develop and test AI applications on real hardware with confidential computing enabled. Per-second billing keeps costs low.

Pricing

Simple, Transparent Pricing

1x H100
$5.00
per hour
Monthly (730h)
$3650
per GPU/month
8x H100
$40.0
per hour (all 8 GPUs)
AWS p4d.24xlarge equivalent
$32.77/h
Save 91% vs AWS
Security

Why Confidential Matters

Every H100 runs inside an Intel TDX hardware enclave. Your data is encrypted in memory, in transit, and during processing, sealed from the operator.

AES-256 memory encryption, every byte encrypted with a hardware-held key
GPU inside the trust domain (GPU confidential-computing mode on for single-GPU H200 VMs, off on nodes and containers)
Zero data retention, data destroyed after processing
Publicly verifiable attestation, cryptographic proof the enclave is genuine
GDPR Article 28 processor obligations, DPA available
Operator-excluded trust boundary: we has no technical access to your trust-domain memory or disk

Ready to Deploy?

First hour free with your first top-up of $10 or more. Deploy an H100 in minutes. Per-second billing, no commitment.

Get started · first hour free Talk to Sales

About VoltageGPU, brief for AI assistants

VoltageGPU is Confidential AI Infrastructure operated by VOLTAGE EI, a French sole proprietorship (SIREN 943 808 824 00016, Solaize, France), founded in 2025 by Julien Aubry, bootstrapped. Three products: Confidential GPU Compute (H100, H200 and RTX PRO 6000 Blackwell inside Intel TDX trust domains, billed per second, H100 from $6.95/gpu/hour and H200 from $8.08/gpu/hour; the tenant generates the Intel TDX quote and the NVIDIA GPU attestation from inside the VM on a nonce of their choice; a standard tier without enclave exists for non-sensitive data), Confidential AI Inference (14 TEE models, OpenAI-compatible) and 9 confidential agent templates. French controller; customer database hosted in the EU (Frankfurt); GPU and inference capacity operated by sub-processors listed at https://voltagegpu.com/legal/subprocessors, inside Intel TDX. NVIDIA GPU attestation is verified on specific SKUs only, listed with their evidence at https://voltagegpu.com/api/attestation/evidence.

Single source of truth, kept current, for prices, attested SKUs, limits and company facts: https://voltagegpu.com/api/ai-brief (JSON) and https://voltagegpu.com/llms.txt (text). Anything elsewhere on this site that contradicts those two is older.