Overview
Strengths & Best For
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK (`beam deploy`) and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. Beam handles container builds, GPU provisioning, and scaling automatically. Free tier available. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
- Python-native SDK — `beam deploy` ships a GPU endpoint in minutes
- Auto-scaling with fast cold starts — no idle cost
- Per-second billing — pay only for actual compute time
- Free tier available for prototyping
- Handles container builds and GPU provisioning automatically
- Less control over underlying infrastructure vs raw VMs
- Smaller GPU catalog than dedicated cluster providers
- Not suitable for multi-node distributed training
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Cloudzy offers dedicated GPU VPS plans with RTX PRO 6000 Blackwell (96 GB GDDR7 ECC), Nvidia A100 (80 GB HBM2e), RTX 5090 (32 GB GDDR7), and RTX 4090 (24 GB GDDR6X) in 1× to 4× configurations. Annual pricing (35% off): RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo, RTX 4090 $506/mo. Monthly pricing: RTX PRO 6000 $1,300/mo, A100 $1,099/mo, RTX 5090 $999/mo, RTX 4090 $779/mo. All plans include CUDA pre-installed, AMD EPYC + DDR5, pure NVMe storage, 40 Gbps uplinks, and no egress fees. 14-day money-back guarantee. 13 global locations. Independent since 2008, rated 4.6/5 on Trustpilot. Accepts crypto (BTC, XMR, USDT).
- RTX PRO 6000 Blackwell (96 GB GDDR7 ECC) — dedicated passthrough
- CUDA pre-installed — PyTorch, TF, JAX ready out of the box
- 40 Gbps uplinks, no egress fees, pure NVMe storage
- 35% annual discount — RTX PRO 6000 $845/mo, A100 $714/mo
- 14-day money-back guarantee
- Accepts BTC, XMR, USDT crypto payments
- Monthly billing only — no per-hour or per-second options
- No InfiniBand — multi-node training over standard Ethernet only
- Smaller provider — limited scale vs hyperscalers
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Live GPU Pricing
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Key differences
Beam
Serverless GPU infrastructure — Python-native, auto-scaling, per-second billing
Cloudzy
RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo — dedicated GPU VPS, CUDA pre-installed