Volcengine

Volcengine GPU pricing overview

Volcengine is a hyperscaler GPU cloud provider headquartered in Beijing, China. Volcengine is ByteDance's cloud platform (international brand: BytePlus), offering A100 80GB, A10, and V100 32GB GPU instances through its ML Platform. Prices are denominated in CNY for the China region; BytePlus international pricing is available separately. As the cloud infrastructure behind TikTok and ByteDance's AI products, Volcengine offers enterprise-grade reliability backed by one of the world's largest AI companies. Verified 2026-10-22: A100 80GB at CNY 19.20/hr, A10 at CNY 5.60/hr, V100 32GB at CNY 8.40/hr. Billing is On-demand with a minimum commitment of None. Available regions include CN, Various (BytePlus international). GPU instances can be provisioned on-demand, making Volcengine suitable for both short-duration experiments and sustained production workloads.

Volcengine vs other GPU providers

Volcengine competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Backed by ByteDance — enterprise-grade reliability; A100 80GB and A10 availability; International access via BytePlus brand. Use the side-by-side comparison tool above to see Volcengine pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 3 Volcengine listings alongside 91+ providers in a single sortable view.

Best use cases for Volcengine

Volcengine is best suited for: Enterprise teams wanting ByteDance-backed cloud infrastructure, Chinese AI teams needing A100 or A10 compute, Teams exploring BytePlus for international GPU access. Support tiers range from Standard → Enterprise, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 3 active GPU listings on Volcengine, covering A100 80GB, A10, V100 32GB. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

Volcengine billing model and cost structure

Volcengine uses On-demand pricing. Spot pricing is not currently available on this provider — all instances are on-demand. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Volcengine

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Volcengine pricing data is collected

Prices shown are sourced from Volcengine's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in CNY per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.