DeepSeek-R1
Model ● Covered in 16 stories + Follow
DeepSeek-R1 is an open-weight reasoning model referenced across multiple recent technical and security-focused articles. Coverage includes benchmarks and deployment work—such as distributed LLM serving validation and inference performance on NVIDIA hardware—as well as security research showing it can be affected by attacks that exploit reasoning behaviors and instruction-following weaknesses. The model has also been cited in infrastructure discussions, where large-model deployments like SageMaker HyperPod highlight the importance of reducing cold-start delays for serving DeepSeek-R1-scale weights.
Updated 15 September 2026
Specifications
No specifications recorded yet.
Latest developments
Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis
MarkTechPost · 1 month ago ·
33
NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide
NVIDIA · 1 month ago ·
42
Controlling Reasoning Effort in LLMs
Ahead of AI · 1 month ago ·
28
Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, and more...
The Batch ·
32
AI Models Overthink Problems—and It’s a Security Risk
IEEE Spectrum · 2 months ago ·
28
How catastrophic is your LLM?
Amazon Science · 4 months ago ·
55
Large Reasoning Models Fail to Follow Instructions During Reasoning: A Benchmark Study
Together AI · 10 months ago ·
40
2026
- Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
- Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis
- NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide
- Controlling Reasoning Effort in LLMs
- Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, and more...
- AI Models Overthink Problems—and It’s a Security Risk
- How catastrophic is your LLM?
2025
- Large Reasoning Models Fail to Follow Instructions During Reasoning: A Benchmark Study
- Together AI Delivers Top Speeds for DeepSeek-R1-0528 Inference on NVIDIA Blackwell
- Qwen3: Think Deeper, Act Faster
- Open R1: Update #3
- Introducing Three New Serverless Inference Providers: Hyperbolic, Nebius AI Studio, and Novita 🔥
- Welcome Fireworks.ai on the Hub 🎆
- How to deploy and fine-tune DeepSeek models on AWS
- Open-R1: a fully open reproduction of DeepSeek-R1
- Welcome to Inference Providers on the Hub 🔥
Relationships
Products & technology
- DeepSeek develops this model · 3 sources
- NVIDIA deploys this model · 1 source
- Zhejiang University deploys this model · 1 source
- Open-R1 derived from this model · 1 source
- Hugging Face deploys this model · 1 source
- AWS deploys this model · 1 source
- OlympicCoder derived from this model · 1 source