Deep Seek R1: Mastering AI Serving with 545% Profit Margin
- Authors
- Published on
- Published on
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
Watch DeepSeek R1 Official Profit Margin is pure insanity on Youtube
Viewer Reactions for DeepSeek R1 Official Profit Margin is pure insanity
Breakdown of the $87,000 costs per day
Request for a DeepSeek Coder v3 with a small footprint
Question about the costs of renting GPUs or operating owned GPUs
Comparison between DeepSeek and OpenAI
Mention of DeepSeek being the best AI team in the world
Concern about server busy issues
Comment on ChatGPT not running profitably due to high tech salaries
Appreciation for the economic information provided in the video
Typo in the System Design link
Appreciation for the overview provided in the video
Related Articles
AI Vending Machine Showdown: Claude 3.5 Sonnet Dominates in Thrilling Benchmark
Experience the intense world of AI vending machine management in the thrilling benchmark showdown on 1littlecoder. Witness Claude 3.5 sonnet's dominance, challenges, and unexpected twists as AI agents navigate simulated business operations.
Exploring OpenAI 03 and 04 Mini High Models: A Glimpse into AI Future
Witness the impressive capabilities of OpenAI 03 and 04 Mini High models in this 1littlecoder video. From solving puzzles to identifying locations with images, explore the future of AI in a thrilling demonstration.
OpenAI Unveils Advanced Models: Scaling Up for Superior Performance
OpenAI launches cutting-edge models, emphasizing scale in training for superior performance. Models excel in coding tasks, offer cost-effective solutions, and introduce innovative "thinking with images" concept. Acquisition talks with Vinsurf hint at further industry disruption.
OpenAI PPT 4.1: Revolutionizing Coding with Enhanced Efficiency
OpenAI introduces PPT 4.1, set to replace GPT 4.5. The new model excels in coding tasks, offers a large context window, and updated knowledge. With competitive pricing and a focus on real-world applications, developers can expect enhanced efficiency and performance.