NVIDIA H100 on Koyeb

Overview

The NVIDIA H100 Tensor Core GPU, based on the Hopper architecture, represents a leap forward in accelerated computing. With FP8 precision support, fourth-generation Tensor Cores, and a Transformer Engine, the H100 accelerates training and inference of large language models (LLMs) by up to 30x compared to previous generations.

It also delivers 60 teraflops of FP64 performance for HPC and introduces DPX instructions, enabling up to 7x speedups in dynamic programming workloads. With second-generation MIG and confidential computing support, the H100 is designed for secure, enterprise-scale deployment.

Best-Suited Workloads

• Large Language Models (LLMs): Training and inference for GPT, Llama, and other state-of-the-art transformers.
• Generative AI at Scale: Production-grade text, image, and multimodal model deployment.
• High-Performance Computing (HPC): Advanced simulations, genomics, molecular dynamics, and climate modeling.
• Enterprise AI with Security: Built-in confidential computing and multi-tenant security.
• LLM Inference with NVL: For models up to 70B parameters, H100 NVL offers superior performance with low latency.

Why Deploy on Koyeb?

Koyeb’s serverless GPU cloud is the fastest way to unlock the H100’s potential without managing infrastructure. Benefits include:

• Access to Cutting-Edge Hardware: Run the most demanding AI and HPC workloads on the world’s most advanced GPU.
• Seamless Scaling: Easily distribute workloads across multiple H100s using Koyeb’s orchestration.
• Enterprise-Ready: Deploy production LLM services with enterprise-grade reliability and security.
• Simplified MLOps: Connect data sources, deploy APIs, and monitor workloads in one platform.

For teams building state-of-the-art generative AI or running compute-heavy HPC simulations, the H100 on Koyeb delivers unmatched performance, scalability, and security. To compare H100 performance to other available GPUs, view the GPU Benchmarks documentation