NVIDIA CUDA Tile
…It also demonstrates how to integrate CUDA Tile into real-world large language models such as Llama 3 and DeepSeek V2. More Resources Join the NVIDIA Developer Program Get Training and Certification…
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NVIDIA Megatron Core
…Megatron Core offers performant functionality for both token dropless and token dropping use cases, with training speed optimizations for models such as DeepSeek and Qwen MoE. Learn more about MoE features in…
NVIDIA Data Center Deep Learning Product Performance
…Version Sequence Length TP PP CP EP Precision Global Batch Size GPU Version NVIDIA Nemo DeepSeek v3 2.4 4,691 tokens/sec/gpu 256x GB300 NVIDIA DGX GB300 nemo:26.02…
How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale | NVIDIA Technical Blog
…Results for DeepSeek R1-0528, FP4, 1k/1k, interactivity: ~50 tok/sec/user. This blog details how early adopters have integrated Dynamo into real-world inference workflows, the system level performance improvements…
Cut Checkpoint Costs with About 30 Lines of Python and NVIDIA nvCOMP | NVIDIA Technical Blog
…MoE models (Mixtral, DeepSeek, OLMoE): Only a subset of experts activate per token. 12-14% exact zeros → ~1.39× ANS, ~1.40× ZSTD. Our benchmarks use BF16 weights and FP32 optimizer state…
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical Blog
…verification infrastructure (though frameworks like NeMo Gym simplify this) RLVR is a key technique behind DeepSeek-R1’s breakthrough reasoning capabilities, demonstrating that verifiable rewards can teach models sophisticated problem-solving strategies…
Run High-Throughput Reinforcement Learning Training with End-to-End FP8 Precision | NVIDIA Technical Blog
…FP8 for linear layers in RL Our recipe uses the block-wise quantized FP8 introduced by the DeepSeek-V3 Technical Report . Table 1 gives the details of tensor formats in linear projection…
Scaling Token Factory Revenue and AI Efficiency by Maximizing Performance per Watt | NVIDIA Technical Blog
…up to 50x higher throughput per megawatt and 35x lower token cost than Hopper for DeepSeek-R1. The NVIDIA Vera Rubin platform further boosts efficiency. Rubin GPUs, Vera CPUs, NVLink 6, and…
LLM Inference Benchmarking: How Much Does Your LLM Inference Cost? | NVIDIA Technical Blog
…and model efficiency have reduced the cost of training and inference , as demonstrated by the DeepSeek R1 model family. With improved efficiency, LLM applications are expected to be even more affordable and…
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