A stack of Mac Minis costs $5,000 and runs 70B at 8 tok/s.
One L40S runs them at 50+ tok/s. Spin up in 30 seconds.
Mac Mini M4 cluster (5 units) vs one NVIDIA L40S
Enterprise GPUs without the enterprise complexity
GPUs ready in seconds. No hardware orders, no assembly, no configuration.
No upfront investment. Pay only for what you use, scale down to zero.
NVIDIA tensor cores, dedicated VRAM, enterprise drivers. Not shared memory.
The best balance of price and performance for LLMs.
Run Llama 3, Mixtral, Qwen locally without sending data to OpenAI. Full control, full privacy.
PopularLoRA, QLoRA, full fine-tuning. Train models on your data without buying H100s.
L40S recommendedStable Diffusion, FLUX, custom models. Batch processing at scale.
100+ img/minSpin up GPUs for experiments, tear down when done. No wasted hardware.
Pay per useQualifying teams get up to $30K in credits to test workloads on emma. No commitment. No credit card upfront.
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