Deep Seek R1: Mastering AI Serving with 545% Profit Margin
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Deep Seek R1, a marvel of AI engineering, boasts an impressive profit margin of 545%, raking in a jaw-dropping $560,000 in daily revenue while only shelling out $887,000 for GPU costs. This isn't your run-of-the-mill Transformer model; oh no, it's a sophisticated blend of expert and Ane models, with 256 experts per layer ensuring specialized and efficient computation. By cleverly implementing expert parallelism across nodes, Deep Seek R1 maximizes GPU usage, handling a massive influx of tokens with ease.
But wait, there's more! Deep Seek R1 doesn't stop there. They've fine-tuned their system with dual micro-batching during the pre-filling stage and a five-stage pipeline during decoding, keeping those GPUs busy round the clock. Load balancing? They've got it covered with pre-fill, decode, and expert parallel load balancers, ensuring each GPU pulls its weight without breaking a sweat. Picture this: a single node with eight GPUs sustaining a whopping 73,740 tokens per second during pre-filling and 14,800 tokens during decoding. Multiply that by hundreds of nodes, and you've got yourself a powerhouse of AI inference.
In the world of Deep Seek R1, communication overlap is key. By skillfully coordinating micro-batches and pipeline stages, they keep those GPUs churning away, delivering top-notch performance. And let's not forget their strategic use of fp8 and bf16 for matrix multiplication and core MLA computations, striking a perfect balance between speed and precision. With a peak of 268 GPU nodes and a daily cost of just $887,000, Deep Seek R1 is a masterclass in AI serving, leaving Western companies green with envy. It's not just AI; it's art, it's science, it's Deep Seek R1.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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