93 65 413

Florian Zimmermeister PRO

flozi00

AI & ML interests

ASR, German LLM

Recent Activity

liked a model 3 days ago

moonshotai/Kimi-K2-Thinking

posted an update 3 days ago

I just got asked about the differences between Blackwell systems and Grace Blackwell systems. What's the difference and how much of a performance gap is there between them? https://flozi.net/en/hardware/nvidia/benchmarks/b200-vs-gb200-efficiency-comparison Here's a summary of the key points from the article: GB200 (Grace Blackwell) is a Superchip: It integrates a Grace CPU and two Blackwell GPUs into a single package. B200 is a GPU-only module: It's designed to be paired with x86 or ARM CPUs in more traditional server setups. Performance and Efficiency: Based on MLPerf Training v5.0 benchmarks, the article concludes: GB200 systems are approximately 42% more efficient than B200 systems on average. This is especially true in large-scale deployments (100+ GPUs), where the GB200's integrated design and high-speed NVLink interconnect provide a significant advantage. In smaller, single-node systems (e.g., 8 GPUs), the performance difference is much smaller, around 10-15%. Use Cases: Choose GB200 for large-scale AI clusters, training massive models, and when maximum efficiency is the top priority. Choose B200 for smaller deployments, when you need the flexibility to choose your own CPU, or for mixed AI and HPC workloads.

replied to their post 4 days ago

Some weeks ago, i've just decide its time to leave LinkedIn for me. It got silent around my open source activities the last year, so i thought something has to change. That's why my focus will move to share experiences and insights about hardware, drivers, kernels and linux. I won't post about how to use models, built agents or do prompting. I want to share about some deeper layers the actual hypes are built on. I will start posting summarizations of my articles here on the hub. English version: https://flozi.net/en German translated version: https://flozi.net/de Feel free to reach me if you want to read something specific.

View all activity

Organizations

$A\\Ware's profile picture$

upvoted a collection 17 days ago

Cerebras REAP

Collection

Sparse MoE models compressed using REAP (Router-weighted Expert Activation Pruning) method • 14 items • Updated 3 days ago • 35

upvoted 4 papers 17 days ago

SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

Paper • 2509.22944 • Published Sep 26 • 76

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Paper • 2510.04618 • Published Oct 6 • 117

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 468

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30 • 526

upvoted an article 17 days ago

Article

Building the Open Agent Ecosystem Together: Introducing OpenEnv

18 days ago

• 122

upvoted 2 papers about 1 month ago

Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

Paper • 2509.23202 • Published Sep 27 • 27

Reinforcement Learning on Pre-Training Data

Paper • 2509.19249 • Published Sep 23 • 67

upvoted a paper about 2 months ago

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search

Paper • 2508.15884 • Published Aug 21 • 5

upvoted 3 papers 2 months ago

upvoted 2 papers 3 months ago

DINOv3

Paper • 2508.10104 • Published Aug 13 • 275

Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Paper • 2507.21509 • Published Jul 29 • 32

upvoted a collection 4 months ago

Red Hat AI validated models - May 2025

Collection

May 2025 Collection of third-party generative AI models validated by Red Hat AI for use across the Red Hat AI Product Portfolio. • 39 items • Updated Sep 18 • 19

upvoted a paper 6 months ago

Quartet: Native FP4 Training Can Be Optimal for Large Language Models

Paper • 2505.14669 • Published May 20 • 78

upvoted 2 papers 7 months ago

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

BitNet b1.58 2B4T Technical Report

Paper • 2504.12285 • Published Apr 16 • 75

upvoted a collection 7 months ago

Inference Optimized Checkpoints (with Model Optimizer)

Collection

A collection of generative models quantized and optimized for inference with TensorRT Model Optimizer. • 43 items • Updated 4 days ago • 50

upvoted a paper 7 months ago

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation

Paper • 2503.19693 • Published Mar 25 • 76

Florian Zimmermeister PRO

AI & ML interests

Recent Activity

Organizations

flozi00's activity

Building the Open Agent Ecosystem Together: Introducing OpenEnv