NVIDIA H100
Revolutionary AI Training Performance
The RedFort Technologies H100 integrates fourth-generation
Tensor Cores and a Transformer Engine with FP8 precision,
delivering up to 4× faster training performance compared to
the previous generation for large-scale GPT-3 (175B) models.
This architecture significantly accelerates deep learning
workflows, LLM development, and next-generation AI research at
enterprise scale.
Massive Parallel Processing Power
Equipped with 640 Tensor Cores and 128 Ray Tracing Cores,
supported by 14,592 CUDA cores, the H100 achieves up to 26
teraFLOPS of full-precision compute performance. Its
architecture is purpose-built for intensive simulation, data
processing, and model training, ensuring consistent throughput
across the most demanding computational workloads.
Advanced High-Speed Interconnect
Featuring fourth-generation NVLink with 900 GB/s GPU-to-GPU
bandwidth, the H100 enables seamless multi-GPU scaling and
distributed compute—ideal for large-scale AI inference
pipelines, HPC environments, and enterprise-grade clustering.
Use Cases
Large Model Inference
Run massive models with predictable latency. Optimize for throughput, batch size, and performance per watt.
Generative AI applications for text, image, and audio.
Scaling ML infrastructure as your customer base grows.
