Cloud GPU Pricing 2026: Confidential VM prices for H100, H200 and RTX PRO 6000 | VoltageGPU

Live VoltageGPU pricing for Confidential VMs with an NVIDIA H100, H200 or RTX PRO 6000 Blackwell GPU, side-by-side with AWS, Google Cloud and Microsoft Azure. Every VM is an Intel TDX trust domain with NVIDIA GPU attestation you generate and verify yourself, per-second billing, no commitment. Your first top-up of $10 or more adds one hour on the RTX PRO 6000 Blackwell VM.

Cloud GPU Pricing Comparison 2026, VoltageGPU vs AWS vs GCP vs Azure

GPUVoltageGPU Confidential VM (Intel TDX)AWS on-demandGoogle CloudAzure ConfidentialNote
NVIDIA H100 80GB$6.95/hour$4.30/hr (p5.48xlarge ÷ 8, no TEE)$3.67/hr (a3-highgpu, no TEE; confidential A3 High rate by zone)$6.98/hr (NC H100 v5, no TEE); confidential NCC40ads H100 v5 $8.90/hrbelow Azure’s confidential H100; AWS p5 has no TEE
NVIDIA H200 141GB$8.08/hour$12.25/hr (p5e.48xlarge ÷ 8, no TEE)$11.06/hr (a3-megagpu, no TEE)$13.96/hr (ND H200 v5, no TEE)no hyperscaler lists a confidential H200
NVIDIA RTX PRO 6000 Blackwell 96GB$3.80/hournot listednot listed as a confidential VMnot listed as a confidential VMNVIDIA GPU attestation verified from inside the VM on 17 September 2026

Comparison prices are public list prices from each provider’s pricing page (April and September 2026). VoltageGPU prices are read live from the provider inventory and update on this page.

Two ways to use VoltageGPU

  • Confidential VM (Intel TDX, attestation generated by the tenant): RTX PRO 6000 Blackwell $3.80/hour, H100 $6.95/hour, single-GPU H200 $8.08/hour, each with the Intel TDX quote and the NVIDIA GPU attestation verified from inside the VM; 8x H100 node $55.62/hour with NVIDIA attestation of all eight GPUs (multi-GPU Protected PCIe mode, verified 10 September 2026). Self-service, boots in about two and a half minutes, one hour upfront then per second, unused time refunded on release.
  • Confidential AI inference API, OpenAI-compatible, every model in a TEE, billed per token from the same balance.

Also available: Standard GPUs with no enclave, for data that is not sensitive, from a distributed provider network at /browse-pods, typically from under $0.50 per GPU-hour on the smallest cards. Confidential AI agents for regulated teams have their own page at /agents/confidential.

Why VoltageGPU

  • Per-second billing, pay for the exact second the machine runs, not for whole hours
  • No reserved-instance lock-in, no 1-year or 3-year commitments to unlock the listed price
  • Your first top-up of $10 or more adds $3.80, one hour on the RTX PRO 6000 Blackwell Confidential VM
  • Same Intel TDX confidential computing technology as Azure and Google Confidential VMs, with an open-source verifier and public dated evidence
  • Bitcoin accepted alongside card payments

Cheapest Cloud GPU for LLM Inference 2026

  • Qwen3-32B (TEE): $0.15/M input · $0.44/M output, vs GPT-4o at $2.50/$10
  • DeepSeek-V3.2 (TEE): $0.20/M input · $0.89/M output, vs OpenAI o1 at $15/$60
  • Llama-3.3-70B (TEE): $0.35/M input · $0.40/M output
  • OpenAI-compatible API at api.voltagegpu.com/v1, drop-in for OpenAI SDK, LangChain, LlamaIndex

Which Confidential VM to pick

  • Development, attestation tests and 7B–70B inference: RTX PRO 6000 Blackwell, 96 GB, $3.80/hour
  • LoRA / QLoRA fine-tuning and heavier inference: H100 80GB, $6.95/hour
  • Models that need the memory: H200 141GB, $8.08/hour
  • Multi-GPU training: the 8x H100 node, attested per GPU in Protected PCIe mode
  • Training data and gradients stay encrypted in memory inside the Intel TDX trust domain

Frequently Asked Questions, Cloud GPU Pricing

What is the cheapest confidential GPU per hour in 2026?

On VoltageGPU, the RTX PRO 6000 Blackwell Confidential VM at $3.80/hour, and an H100 Confidential VM at $6.95/hour. AWS p5 ($4.30/hr) and Google a3 ($3.67/hr) are commodity instances without a trusted execution environment, so they are cheaper per hour but not comparable; Azure’s confidential NCC40ads H100 v5 lists at $8.90/hr (12 September 2026).

How do VoltageGPU prices compare to AWS, GCP, and Azure?

The only hyperscaler SKU with a GPU inside a trust boundary and a public price is Azure’s NCC H100 v5 (AMD SEV-SNP plus one H100 NVL, $8.90/hr list on 12 September 2026); Google Cloud sells confidential H100 on A3 High with Intel TDX at per-zone rates, and AWS has no confidential GPU. Dated, sourced comparison: four clouds compared.

Is there a free trial?

Signing up is free. Using a machine needs a prepaid balance, and your first top-up of $10 or more adds $3.80 automatically, one hour on the RTX PRO 6000 Blackwell Confidential VM, once per account.

Is there a minimum commitment or reserved-instance discount?

No. The prices on this page are the price you pay, with no contracts and no reserved instances. Per-second billing means a five-minute experiment costs five minutes. Minimum top-up is $5.

How does VoltageGPU billing work?

The first hour is charged when the VM starts, then billing is per second; the unused part is refunded when you release the machine.

Prices, live from the machines.Per second. No commitment.

Two ways to run confidential AI: a Confidential VM or the confidential inference API. Every figure on this page is read from the provider inventory a few minutes ago, and on a VM the unused part of the first hour comes back to your balance when you release.

Per-second billingNo commitmentFirst hour free

Confidential VM · Intel TDX · attestation by you

You generate the proofs, not us

A full Intel TDX virtual machine with root over SSH. /dev/tdx_guest is yours: you write your own report_data and read back a signed quote. On the single-GPU H200, H100 and RTX PRO 6000 Blackwell VMs, and per GPU on the 8x H100 node, the GPU adds its own NVIDIA-verified attestation, bound to a nonce you choose.

MachineProofs you generateFree nowPrice
H200141 GB · whole VMIntel + NVIDIA$8.08/hDeploy
RTX 6000B96 GB · whole VMIntel + NVIDIA$3.80/hDeploy
H10080 GB · whole VMIntel + NVIDIA$6.95/hDeploy
8x H2008x 141 GB · whole VMIntel TDX quote$64.62/hDeploy

One hour charged upfront, then per second; the unused part is refunded on Release. No persistent volume on this tier: the disk is destroyed with the machine, copy your results off before you release. See the two proofs, measured.

Azure's confidential ND H200 v5 lists at $13.96/h for the same Intel TDX hardware.

Confidential AI Inference · OpenAI-compatible

14 models served inside Intel TDX

Change the base URL to api.voltagegpu.com/v1 and keep your OpenAI SDK. Billed per million tokens, no minimum.

ModelInput / MOutput / M

Standard GPUs · no enclave

The lowest price, for data that is not sensitive

from $0.22/GPU/h

All plans include

Root SSH access
Attestation you verify yourself
Per-second billing
Unused time refunded
First hour free with your first top-up of $10 or more

Frequently Asked Questions

Start building with confidential AI

First hour free with your first top-up of $10 or more. Per-second billing, no subscription.

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.