Voltage Park

Voltage Park GPU pricing overview

Voltage Park is a specialist GPU cloud provider headquartered in San Francisco, CA. Voltage Park has merged with Lightning AI to create one place to build and ship AI. The combined platform offers 36,000 NVIDIA Hopper, Blackwell, and Grace Blackwell GPUs across 8,176-GPU InfiniBand clusters with 3,200 Gbps aggregate bandwidth (NVIDIA Quantum-2 InfiniBand). On-demand H100 available with no long-term contracts; reserved/long-term pricing available. Dell PowerEdge XE9680 servers with NVIDIA HGX H100s, 1TB RAM SXM, 52 vCPUs. Tier 3+ data centers. AI Factory products include GraphN, image/video/podcast generators, and model playground. Customers include Cursor, Caltech, Phind, Dream3D, Prime Intellect. Billing is On-demand, Reserved (12+ months) with a minimum commitment of None (on-demand). Available regions include US. GPU instances can be provisioned on-demand, making Voltage Park suitable for both short-duration experiments and sustained production workloads.

Voltage Park vs other GPU providers

Voltage Park 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: On-demand H100 with no long-term contracts; 36,000 Hopper/Blackwell/Grace Blackwell GPUs; 8,176-GPU InfiniBand clusters, 3,200 Gbps bandwidth. Use the side-by-side comparison tool above to see Voltage Park pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 3 Voltage Park listings alongside 91+ providers in a single sortable view.

Best use cases for Voltage Park

Voltage Park is best suited for: Large-scale AI training on H100 clusters, AI labs needing InfiniBand multi-node clusters, Teams building on Lightning AI platform. 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 Voltage Park, covering H100 80GB, H200 141GB, A100 80GB. 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.

Voltage Park billing model and cost structure

Voltage Park uses On-demand, Reserved (12+ months) 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 Voltage Park

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 Voltage Park pricing data is collected

Prices shown are sourced from Voltage Park'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 USD 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.