Nvidia announces H200: 4 PFLOP/s for FP8, 141GB of HBM3e, 4.8 TB/s Bandwidth, : r/mlscaling
GTC22 - Die neuen, Leistungsstarken Mitglieder der DGX Familie | sysGen GmbH
Gleitkommazahlen im Machine Learning: Weniger ist mehr für Intel, Nvidia und ARM | heise online
NVIDIA, Arm, and Intel Publish FP8 Specification for Standardization as an Interchange Format for AI | NVIDIA Technical Blog
NVIDIA Hopper: H100 and FP8 Support
NVIDIA H100 Tensor-Core-GPU | Hardware | Blog | sysGen GmbH
Neue Tensor Cores, FP8 und mehr Takt: NVIDIAs Verbesserungen der GH100-GPU - Hardwareluxx
NVIDIA Spring GTC 2023 Day 3: Digging deeper into Deep Learning, Semiconductors & more!
Google, Intel, Nvidia Battle in Generative AI Training - IEEE Spectrum
NVIDIA Hopper Architecture In-Depth | NVIDIA Technical Blog
Using FP8 with Transformer Engine — Transformer Engine 1.0.0 documentation
Intel NVIDIA and Arm Team-up on a FP8 Format for AI
Erfolge mit Bfloat16 - Flexpoint, Bfloat16, TensorFloat32, FP8: Dank KI zu neuen Gleitkommazahlen - Golem.de
Intel NVIDIA and Arm Team-up on a FP8 Format for AI
Machine-Learning: ARM, Intel und Nvidia standardisieren 8-Bit-Gleitkommazahl - Golem.de
Nvidia Hopper – H100 treibt KI-Supercomputer im ExaFLOPS-Zeitalter an - ComputerBase
NVIDIA H100 Hopper FP8 Transformer Engine - ServeTheHome
Tensor-Recheneinheiten: Vielseitigkeit für HPC und KI | NVIDIA
NVIDIA, Intel & ARM Bet Their AI Future on FP8, Whitepaper For 8-Bit FP Published
Chip Makers Press For Standardized FP8 Format For AI - The Next Platform
Using FP8 with Transformer Engine — Transformer Engine 1.0.0 documentation
NVIDIA, Arm, and Intel Publish FP8 Specification for Standardization as an Interchange Format for AI | NVIDIA Technical Blog
Neue Tensor Cores, FP8 und mehr Takt: NVIDIAs Verbesserungen der GH100-GPU - Hardwareluxx
New Class of Accelerated, Efficient AI Systems Mark the Next Era of Supercomputing | NVIDIA Blogs
Using FP8 with Transformer Engine — Transformer Engine 1.0.0 documentation
Jim Fan on X: "Benchmark LLMs on H100: ▸ One of the best public testing report of H100. ▸ Training a 7B GPT model with H100 + FP8 precision is 3x faster
