Overview
Strengths & Best For
EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.
- RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
- Open-model inference API
- Large-context inference capability
- Competitive RTX PRO 6000 pricing
- Very new provider — limited track record
- Smaller scale vs established providers
- Limited documentation and ecosystem
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Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.
- B300, B200, H200 — competitive Blackwell/Hopper pricing
- Per-second billing with zero idle cost — no minimum hours
- Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
- Python-native SDK — no infra management
- Starter and Team plans include free monthly compute credits
- SOC 2, HIPAA, data residency controls
- Less control over underlying infrastructure vs raw VMs
- Pricing can be unpredictable for sustained high-throughput workloads
- Smaller GPU catalog than dedicated cluster providers
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Key differences
EcoHash
RTX PRO 6000 GPU cloud with an open-model inference API
Modal
B300, B200, H200, H100 — serverless GPU, per-second billing