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Crusoe vs Parasail
Parasail brokers GPUs from many suppliers and shines on cheap batch. Crusoe owns its power, data centers and GPUs, and optimizes live traffic with a shared cache.
By The Subconscious Team · Updated
Crusoe vs Parasail: key differences
The core difference is ownership. Parasail runs no data centers of its own; it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API, so consistency depends on the underlying suppliers. Crusoe sources energy, builds its own campuses and reports over 6 GW of contracted capacity. Parasail's standout is batch: any Hugging Face model, private repos included, at half of serverless pricing, with cached tokens another 50% off. A 4B to 8B model runs $0.03 in and $0.06 out per million at FP4. Crusoe's serverless catalog is smaller, from $0.05 in and $0.20 out, but its cluster-wide KV cache targets live multi-turn traffic, where Crusoe claims up to 9.9x faster time to first token than vLLM.
For real-time work, Parasail designed around a 600ms p99 budget and offers elastic endpoints that bill only for tokens used, plus dedicated deployments with negotiated SLAs. Its commit-to-spend model lets one commitment draw down across any model or hardware, which avoids paying for idle reserved GPUs, though reserved pricing is quote-only. Crusoe lists self-serve dedicated deployments per GPU-hour, H100 at $5.50 and B200 at $9.65, plus tailored SLAs and managed LoRA fine-tuning. Parasail serves custom weights from private repos but does not list managed training. Offline evals favor Parasail; interactive agents favor Crusoe.
What Crusoe and Parasail do
Crusoe
Crusoe started in 2018 turning wasted natural gas into power for computing and has since become a vertically integrated AI infrastructure company: it sources energy, builds data centers and rents GPUs through Crusoe Cloud. It designed and built the Abilene, Texas campus behind the OpenAI and Oracle Stargate project, planned at 1.2 GW, and in March 2026 announced an adjacent 900 MW campus for Microsoft. On September 17, 2026 it closed the first part of a $3.9B Series F at a $30.9B post-money valuation, and it reports over 6 GW of contracted capacity. Crusoe Cloud lists GB200 NVL72, B200 and AMD MI355X by quote, with H100 at $3.90 and H200 at $4.29 per GPU-hour on demand.
Example models: DeepSeek V4 Pro, GLM 5.3, Kimi K2.6
Full Crusoe profileParasail
Parasail calls itself the inference cloud for AI-native startups. Instead of owning data centers, it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API. Customers choose serverless per-token endpoints, Elastic Endpoints that scale with traffic and bill only for tokens used, dedicated deployments with negotiated latency SLAs, or batch. Its commit-to-spend model lets one commitment draw down across any model or hardware.
Example models: GTE-Qwen2, Qwen3-VL-8B-Instruct
Full Parasail profileShould you choose Crusoe or Parasail?
Crusoe vs Parasail at a glance
| Attribute | Crusoe | Parasail |
|---|---|---|
| Model access | Open weights | Any Hugging Face model |
| Flagship models | DeepSeek V4, GLM 5.3, Kimi K2.6, Nemotron 3 | GTE-Qwen2, Qwen3-VL-8B-Instruct |
| Speed | Up to 9.9x faster TTFT vs vLLM (vendor claim) | 600ms p99 real-time budget |
| Price | $0.05–$1.74 in, $0.20–$4.40 out per 1M | Per-parameter rates; batch 50% off |
| Customization | Serverless LoRA fine-tuning | Private Hugging Face repos |
| Deployment | Serverless, self-serve and tailored dedicated, raw GPUs | Serverless, elastic, dedicated, batch |
| Long context | Varies by model; cluster-wide KV cache | Varies by model |
Frequently asked questions
What is the difference between Crusoe and Parasail?
Parasail brokers GPUs from many suppliers and shines on cheap batch. Crusoe owns its power, data centers and GPUs, and optimizes live traffic with a shared cache.
When should I choose Crusoe over Parasail?
Interactive agents with long shared prefixes; Fine-tuning and serving on one platform; Teams that want owned, large-scale capacity.
When should I choose Parasail over Crusoe?
Cheap batch on any Hugging Face model; Evals and embeddings over big datasets; Flexible commits without idle reserved GPUs.
Is Crusoe or Parasail cheaper?
Crusoe: $0.05–$1.74 in, $0.20–$4.40 out per 1M. Parasail: Per-parameter rates; batch 50% off. The cheaper choice depends on the model and workload.
Which has more context, Crusoe or Parasail?
Crusoe: Varies by model; cluster-wide KV cache. Parasail: Varies by model.
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.