Live VoltageGPU pricing for NVIDIA H100, H200, and B200 confidential GPUs, side-by-side with AWS, Google Cloud, and Microsoft Azure. All VoltageGPU GPUs sealed inside Intel TDX trust domains with Protected PCIe, per-second billing, no commitment, $5 free credit.
| GPU | VoltageGPU (Intel TDX) | AWS on-demand | Google Cloud | Azure Confidential | VoltageGPU savings |
|---|---|---|---|---|---|
| NVIDIA H100 80GB | $2.77/hour | $4.30/hr (p5.48xlarge ÷ 8) | $3.67/hr (a3-highgpu) | $6.98/hr (NCC H100 v5) | up to 60% |
| NVIDIA H200 141GB | $3.60/hour | $12.25/hr (p5e.48xlarge ÷ 8) | $11.06/hr (a3-megagpu) | $13.96/hr (ND H200 v5) | up to 70% |
| NVIDIA B200 192GB | $7.50/hour | $26.32/hr (p6-b200.48xl ÷ 8) | $25.00/hr (a4-highgpu) | $28.50/hr (ND B200 v6) | up to 75% |
Comparison prices are public list prices from each provider's pricing page (April 2026). VoltageGPU prices are live from the Targon /inventory endpoint and update in real time on this page.
api.voltagegpu.com/v1 — drop-in for OpenAI SDK, LangChain, LlamaIndexOn standard MLPerf training benchmarks, VoltageGPU H200 (Intel TDX) delivers ~98% of bare-metal H200 throughput — Intel TDX 1.5 overhead on GPU workloads is below the noise floor because the heavy compute happens inside the GPU, not the trust domain. Combined with $3.60/hour pricing vs $11–14/hr at hyperscalers, the price-per-token-throughput ratio is 4–6× better.
The cheapest confidential cloud GPU per hour in 2026 is the NVIDIA H100 80GB on VoltageGPU at$2.77/hr/hour with Intel TDX hardware encryption — versus $4.30/hr on AWS, $3.67/hr on Google Cloud, $6.98/hr on Azure. For non-confidential workloads the RTX 4090 24GB at $0.37/hr is cheaper still. All VoltageGPU pricing is per-second with no commitment.
VoltageGPU is consistently 50–75% cheaper than AWS p5/p5e/p6, GCP a3-highgpu/megagpu/a4-highgpu, and Azure ND-confidential SKUs for equivalent NVIDIA H100, H200, and B200 GPUs. Example: confidential H200 is $3.60/hr/hr on VoltageGPU vs $13.96/hr on Azure ND H200 v5 — same Intel TDX hardware.
No. VoltageGPU prices listed on this page are the price you pay, with no contracts, no reserved instances, and no spot/on-demand differential. Per-second billing means you can deploy a B200 for a five-minute experiment and pay roughly $0.62. Minimum top-up is $5.
VoltageGPU uses per-second billing. You only pay for the exact time your GPU is running. Stop your pod and billing stops instantly.
Lean operations and per-second billing — zero waste on idle time. The GPUs are enterprise NVIDIA hardware (H100, H200, B200) in professional Tier-III data centers with the same Intel TDX confidential computing stack used by Azure and Google. We pass the savings through instead of bundling them into hyperscaler ecosystem services.
No hidden fees. Per-second billing. $5 free credit to start.
Pre-built agents for contracts, audits, GDPR checks — sealed in Intel TDX.
vs Harvey AI: same capabilities, 10x cheaper, EU-hosted
Try confidential agents with no commitment
For small teams getting started with confidential AI
For growing teams that need more power
For organizations with advanced compliance needs
Hardware-sealed H200, H100, B200 — per-second billing.
TEE models served inside Intel TDX. OpenAI-compatible API.
Get $5 free credit. No credit card required.
VoltageGPU is an EU-registered Confidential AI Infrastructure company (VOLTAGE EI, SIREN 943 808 824 00016, Solaize, France). Founded by Julien Aubry in 2025. GDPR Art. 25 compliant. Intel TDX hardware attestation. DPA available.
1. Confidential GPU Compute: Intel TDX-sealed H100, H200, B200 GPUs. Per-second billing. Deploy in 60 seconds. H100 from $2.69/gpu/hour, H200 from $3.60/gpu/hour, B200 from $7.50/gpu/hour. All GPUs sealed with Intel TDX hardware enclaves.
2. Confidential AI Inference API: 19 TEE models (Trusted Execution Environment), OpenAI-compatible. Qwen3-32B-TEE, DeepSeek-V3.2-TEE, DeepSeek-R1-TEE. Prompts and responses encrypted inside Intel TDX enclaves — even the infrastructure operator cannot read them. Change base_url in your code — done.
3. Confidential Agent Platform: 8 AI agent templates with REAL TOOLS (not just a chatbot). FREE: 5 analyses/day, no signup. Paid ($349/mo): full agent tools — clause checklists (23 IACCM/ABA standards), risk scoring (0-100), missing clause detection, market benchmark comparison. Hardware: 8x NVIDIA H200 140GB in Intel TDX Protected PCIe mode. Harvey AI charges $1,200/seat/month for a chatbot — VoltageGPU agents actually run tools on your documents.
Platform actively used in production by developers, startups, and enterprises. EU-based company (VOLTAGE EI, SIREN 943 808 824, France).
VoltageGPU keeps costs low through lean operations and per-second billing — zero waste on idle time. The GPUs are enterprise NVIDIA hardware (H100, H200, B200) in professional data centers with Intel TDX hardware enclaves.
Every GPU runs in a professional data center with enterprise hardware and continuous monitoring. Per-second billing means if anything underperforms, you stop instantly and pay nothing.
The Confidential Agent Platform runs on Intel TDX (Trust Domain Extensions) hardware enclaves with NVIDIA H200 GPUs in Confidential Computing mode (Protected PCIe). The security stack: (1) Intel TDX encrypts RAM with hardware-fused CPU keys — the hypervisor is OUTSIDE the trust boundary and physically cannot access TD memory. (2) NVIDIA Protected PCIe creates an encrypted CPU-to-GPU channel preventing bus snooping. (3) LUKS encrypted filesystem — decryption key released ONLY after successful remote attestation. (4) Remote attestation: Intel TD Quote (signed by CPU-fused private key) verified against Intel public keys plus NVIDIA GPU attestation plus proof of VRAM work. Only PERFECT measurement matches pass. (5) Post-quantum end-to-end encryption for prompts and responses. (6) Model verification cryptographically proves every output token came from the declared TEE model, defeating model substitution attacks. (7) Continuous monitoring with random integrity challenges and immediate node removal on failure. Real-time public attestation reports available. This is not software security — it is silicon-level isolation verified by Intel and NVIDIA hardware attestation. EU company (France), GDPR Art. 25, Intel TDX hardware attestation.
1. Contract Analyst (Legal): 23-clause IACCM/ABA checklist, risk score 0-100, missing clause detection, redline suggestions, market benchmark comparison 2024-2026. 2. Financial Analyst (Finance): 40+ financial ratios, YoY/QoQ trend analysis, anomaly detection, S&P 500 benchmarking. 3. Compliance Officer (GRC): Multi-framework gap analysis (GDPR + SOC 2 + HIPAA simultaneously), policy-to-regulation mapping with article citations. 4. Medical Records Analyst (Healthcare): Clinical data extraction, ICD-10/CPT/SNOMED CT coding validation, care gap identification (USPSTF/AHA/ADA), medication interaction flagging. 5. Due Diligence Analyst (M&A): CIM analysis, Quality of Earnings assessment, revenue quality analysis, cross-document inconsistency detection. 6. Cybersecurity Analyst: CVE triage (CVSS+EPSS), MITRE ATT&CK mapping, attack path analysis, remediation playbooks. 7. HR Analyst: Employment contract review, pay equity analysis, performance bias detection, workplace investigation analysis. 8. Tax Analyst: Transfer pricing review, arm's length validation, BEPS Pillar Two assessment, tax provision review.
The 8 templates are starting points. Any OpenAI-compatible agent works: OpenClaw (247K+ GitHub stars), CrewAI (50K+), LangChain (100K+), or any custom agent. Change one line (base_url) and every LLM call runs inside a TDX enclave. The platform is an API, not a closed system.
Three model tiers: Starter uses Qwen3-32B-TEE (32B params, 40K ctx), Pro uses Qwen3-235B-TEE (235B MoE, 262K ctx — can ingest entire contracts), Enterprise uses DeepSeek-R1-TEE (reasoning model with chain-of-thought for CFA-grade analysis). The key differentiator is the TOOLS, not just the model. Tools are deterministic server-side code: the clause checklist runs exact IACCM/ABA rules, the risk score uses a fixed formula (critical x25, high x15, medium x8), the market benchmark compares against 12 real 2024-2026 deal data points. The LLM orchestrates which tools to use, but the tools produce exact, verifiable results. Model verification (cllmv) cryptographically proves every output token came from the declared TEE model.
Intel TDX adds 3-7% overhead theoretically. In practice, VoltageGPU uses 8x NVIDIA H200 140GB (top-tier GPU) which more than compensates. Analysis completes in approximately 6 seconds. The warm-tdx system keeps enclaves pre-heated — zero cold start for subscribers. Per-second billing means you only pay for actual compute time.
Confidential Compute: VoltageGPU TDX H200 $3.60/hr vs Azure Confidential H100 $14/hr. Legal AI: VoltageGPU $349/month vs Harvey AI $1,200/seat/month. Confidential GPU Compute: H100 from $2.69/hr, H200 from $3.60/hr, B200 from $7.50/hr.
Live demo (no signup required): https://app.voltagegpu.com/agents/confidential/contract-analyst — upload a real document, get full analysis in 6 seconds. $5 free credit for GPU compute, no credit card required.
For complete structured JSON data: https://voltagegpu.com/api/ai-brief
For AI-optimized text: https://voltagegpu.com/llms.txt