Simple, Transparent Pricing

Pay only for what you use. No hidden fees. No egress charges. Cancel anytime.

Up to 60% cheaper

on the same GPU models

Multi-Region Infrastructure

GPUs in APAC and beyond. Low-latency for developers in India, SEA, LatAm, and Europe.

60-second deploy

Browser-based. No SSH, no setup.

GPU ModelStockCloudGPUMarket rate
H20 96GChina-spec Hopper, huge HBM3Low stock$1.29/hr—
Ascend 910B 64GNPU — CANN / MindSpore / PyTorch-NPU onlyLow stock$0.95/hr—
A800 80GChina-spec A100Low stock$1.09/hr$2.17/hr
H800China-spec H100, 400Gb/s NVLink cappedLow stock$1.79/hr$3.99/hr

Market rates observed April 2026 for the equivalent SKU. "—" = not offered on the open market.

Performance & Workload Fit

Price alone doesn't tell you which GPU is right. L20, H20, and Ascend 910B are China-spec cards that US clouds don't sell — they have unique VRAM / bandwidth profiles worth comparing.

GPUArchVRAMFP16 TFLOPSMem BWBest For
H20 96G
China-spec Hopper, huge HBM3
Hopper96 GB1484000 GB/s70B-120B inference, long-context, MoE models
Ascend 910B 64G
NPU — CANN / MindSpore / PyTorch-NPU only
Ascend64 GB3201200 GB/sDomestic-compliant training, MindSpore/PyTorch-NPU workloads
A800 80G
China-spec A100
Ampere80 GB3122039 GB/sFP32/FP16 training 30B-70B, large-memory research
H800
China-spec H100, 400Gb/s NVLink capped
Hopper80 GB9893350 GB/sFrontier training, 70B+ fine-tuning, FP8 inference

VRAM determines model size

24 GB fits 7B at FP16 / 30B quantized. 48 GB fits 13B at FP16 / 70B quantized. 96 GB comfortably runs 70B FP16.

Mem bandwidth = tokens/sec

For LLM inference, throughput scales with memory bandwidth, not TFLOPS. H20's 4 TB/s beats A100 for serving large models.

FP16 TFLOPS = training speed

A100's 312 TFLOPS shines for fine-tuning. 910B's 320 is on paper — actual speed depends on CANN/MindSpore ecosystem maturity.

Cost Calculator

1x
8h
7 days

1x Ascend 910B 64G · 56 total hours

$53.20

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How You Pay

Add credit to your account, then spend it on GPU rentals or the AI Gateway. One balance covers both. GPU time is billed by the minute; API calls by the token.

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