NVIDIA H200 on Koyeb

Overview

The NVIDIA H200 Tensor Core GPU is a next-generation accelerator designed to push the limits of generative AI, large language models (LLMs), and memory-bound HPC workloads. Built on the NVIDIA Hopper architecture, the H200 is the first GPU to feature HBM3e memory, delivering a dramatic leap in both memory capacity and bandwidth over previous generations.

With 141GB of HBM3e memory and up to 4.8 TB/s of memory bandwidth, the H200 enables larger models and datasets to fit on a single GPU, reducing the need for complex model sharding and improving overall efficiency. Combined with fourth-generation Tensor Cores, FP8 precision, and NVLink high-speed interconnects, the H200 is optimized for both training and inference at scale.

The H200 builds on the strengths of the H100 while significantly improving performance for memory-intensive AI workloads, making it especially well suited for modern LLMs and retrieval-augmented generation (RAG) pipelines.

Best-Suited Workloads

The NVIDIA H200 is ideal for the most demanding AI and HPC workloads deployed on Koyeb:

• Large Language Model Training and Fine-Tuning
  Train and fine-tune large transformer models (e.g., Llama-class and GPT-class models) with fewer GPUs thanks to the H200’s massive memory capacity and bandwidth.

• High-Throughput LLM Inference
  Serve large models with higher token throughput and lower latency, especially for long context windows and batch inference workloads.

• Generative AI at Scale
  Power text, image, and multimodal generative AI pipelines where memory size and bandwidth are critical performance factors.

• Memory-Bound HPC Workloads
  Accelerate simulations and scientific workloads (climate modeling, genomics, physics, computational chemistry) that benefit from high-bandwidth memory.

• RAG and Large Context Applications
  Run retrieval-augmented generation pipelines and long-context inference without aggressively partitioning models or data.

Why Deploy on Koyeb?

Koyeb provides a serverless GPU platform that makes it easy to take full advantage of the NVIDIA H200 without managing complex infrastructure:

• Elastic, On-Demand Scaling
  Spin up H200 instances only when needed for training or inference, and scale horizontally as workloads grow.

• Cost-Efficient Access to Premium GPUs
  Run high-end H200 workloads without long-term hardware commitments, paying only for the compute you use.

• Unified Training and Inference Platform
  Train, fine-tune, and deploy large models on the same platform, simplifying MLOps workflows.

• Low-Latency Global Deployment
  Deploy H200-backed services closer to users and data sources for improved responsiveness.

• Production-Ready AI Infrastructure
  Combine H200 performance with Koyeb’s managed orchestration, observability, and reliability to deploy generative AI systems at scale.

The NVIDIA H200 on Koyeb is the right choice when you need maximum memory capacity, extreme bandwidth, and top-tier AI performance for next-generation generative AI and HPC workloads.