Skip to content
Launch imminent

Official date to be announced shortlyGPU offers available at launch; figures shown are indicative.

Priority access: sign up

Google TPU v5p cloud GPU

TPU v5p: 95 GB of HBM2e memory per GPU, TPU v5p architecture. Rent it by the hour on the EverXCloud spot exchange, at the live price set by sellers and buyers.

Best live price
$4.95
per GPU-hour, excl. tax
GPU memory
95 GB HBM2e
Bandwidth
2,765 GB/s
Architecture
TPU v5p

TPU v5p on the spot exchange

As of October 2026, the TPU v5p rents from $4.95 per GPU-hour on EverXCloud, excluding tax.

Estimate VRAMEstimate cost

No TPU v5p product is listed on the spot exchange right now. Tell us the quantity and the dates you need: we look for this capacity across the EverXCloud Network.

Request this capacity

TPU v5p specifications

TPU v5p specifications, per GPU
GPU memory95 GB
Memory typeHBM2e
Memory bandwidth2,765 GB/s
BF16 tensor459 TFLOPS
ArchitectureTPU v5p
InterconnectICI (4,800 Gbps per chip)

Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.

Recommended uses

  • Model training

    Full training or fine-tuning of models up to about 4 billion parameters in mixed precision.

  • Fine-tuning

    Parameter-efficient fine-tuning (LoRA, QLoRA) of open models that fit in memory with 4-bit quantization.

  • LLM inference

    Language models up to about 35 billion parameters in 16-bit precision, or about 120 billion with 4-bit quantization.

  • Image generation

    Image and video diffusion models; larger models and higher resolutions need more GPU memory.

Cautious estimates for this product (95 GB of GPU memory in total), counting 80% of memory for model weights. Real limits depend on context length, batch size and framework.

Workloads for the TPU v5p

GPUs similar to the TPU v5p

GPUs similar to the TPU v5p: memory, architecture and best live price per GPU-hour excluding tax
GPUFrom/h
H100 SXM80 GB HBM3 · Hopper$2.88
H100 PCIe80 GB HBM2e · Hopper$2.89
H100 NVL94 GB HBM3 · Hopper$3.19
GH20096 GB HBM3 · Grace Hopper$6.81
A100 SXM80 GB HBM2e · Ampere$1.79
A100 PCIe80 GB HBM2e · Ampere$1.79
All GPU models

TPU v5p: frequently asked questions

How much does it cost to rent the TPU v5p?

Right now, from $4.95 per GPU-hour excluding tax: the best live offer on the spot exchange. The price moves with the offers and requests of sellers and buyers.

How much memory does TPU v5p have?

95 GB of HBM2e memory per GPU. Memory bandwidth is 2,765 GB/s.

Which AI models can I run on TPU v5p?

As a cautious estimate, this product (95 GB of GPU memory in total) runs language models up to about 35 billion parameters in 16-bit precision, or about 120 billion with 4-bit quantization. Context length, batch size and framework change the real limit.

Can I rent several TPU v5p GPUs together?

Servers with several GPUs are listed as separate products on the spot exchange when sellers offer them, for example 2, 4 or 8 GPUs. For a larger quantity or fixed dates, request this capacity.

How is TPU v5p rental billed?

By the hour. You buy rental hours on the spot exchange, up to 720 hours per order, and pay them from your prepaid balance. Prices are shown excluding tax, and EverXCloud is the merchant of record for every rental.

Which currencies and payment methods can I use?

Euros, US dollars or pounds, each with its own balance, never converted. Top up by card; SEPA bank transfer may be offered to business accounts on request. A receipt is issued for every top-up and an invoice, with VAT or sales tax where it applies, for every rental.

Is buying GPU hours on the spot exchange a financial product?

No. You buy hours of GPU rental to use them: no derivatives, no leverage, no transferable credits.

Check the workload, complete configuration and billing conditions before choosing a live offer.

Be ready on launch day

Create your account now: you can top up your balance and launch a GPU as soon as the market opens.

Have GPU servers?

Businesses can join the EverXCloud Network and sell hours of their GPU servers on the spot exchange.

Become a supplier
GPU models