Crusoe vs General Compute

Crusoe builds data centers and serves open models on GPUs with a shared KV cache. General Compute moves decode onto ASICs for speed.

By The Subconscious Team · Updated October 27, 2026

Crusoe vs General Compute: key differences

Crusoe owns its power and data centers and rents NVIDIA and AMD GPUs. Its serverless catalog covers DeepSeek V4, GLM 5.3, Kimi K2.6 and Nemotron from $0.05 in and $0.20 out per million tokens, with a cluster-wide KV cache that Crusoe says gives up to 9.9x faster time to first token than vLLM on prefix-heavy work. It also offers serverless LoRA fine-tuning and raw GPU clusters. General Compute keeps prefill on GPUs and runs decode on ASICs from Cerebras, SambaNova, Positron AI and d-Matrix. It serves four models from $0.21 in and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

Crusoe is the pick for agents that resend long shared context, for fine-tuning and serving in one place, and for large GB200 or B200 clusters. General Compute fits workloads where output speed sets the wait, like coding agents and voice. Both lean on vendor benchmarks for their headline numbers.

What Crusoe and General Compute 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 profile

General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B

Full General Compute profile

Should you choose Crusoe or General Compute?

Crusoe

Choose Crusoe for

Prefix-heavy agents and chat
Fine-tuning and serving in one place
Large GPU clusters

General Compute

Choose General Compute for

Fast output on ASIC decode
Voice agents and real-time chat
Reserved ASIC racks

Crusoe vs General Compute at a glance

Attribute	Crusoe	General Compute
Model access	Open weights	Open weights
Flagship models	DeepSeek V4, GLM 5.3, Kimi K2.6, Nemotron 3	MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Speed	Up to 9.9x faster TTFT vs vLLM (vendor claim)	1,000+ tok/s on GPT-OSS 120B (vendor)
Price	$0.05–$1.74 in, $0.20–$4.40 out per 1M	$0.21–$0.28 in, $0.38–$1.20 out per 1M
Customization	Serverless LoRA fine-tuning	Custom LoRA and fine-tuned checkpoints
Deployment	Serverless, self-serve and tailored dedicated, raw GPUs	Serverless API, dedicated racks, bare metal
Long context	Varies by model; cluster-wide KV cache	192K (MiniMax M2.7)

Frequently asked questions

What is the difference between Crusoe and General Compute?

Crusoe builds data centers and serves open models on GPUs with a shared KV cache. General Compute moves decode onto ASICs for speed.

When should I choose Crusoe over General Compute?

Prefix-heavy agents and chat; Fine-tuning and serving in one place; Large GPU clusters.

When should I choose General Compute over Crusoe?

Fast output on ASIC decode; Voice agents and real-time chat; Reserved ASIC racks.

Is Crusoe or General Compute cheaper?

Crusoe: $0.05–$1.74 in, $0.20–$4.40 out per 1M. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

Which has more context, Crusoe or General Compute?

Crusoe: Varies by model; cluster-wide KV cache. General Compute: 192K (MiniMax M2.7).

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.

Subconscious vs Crusoe Subconscious vs General Compute