Solutions
Découvrez des solutions sectorielles adaptées à vos besoins.
IA et apprentissage automatique
Médias et divertissement
Jeux vidéo
Réalité virtuelle et augmentée
Inférence IA
ComfyUI
Produits
Serveurs GPU dédiés pour l'IA, le ML et les charges de travail graphiques.
Clusters GPU pour le calcul haute performance et la montée en charge.
Whether you’re building the next breakthrough AI model, launching a generative art platform, or training LLMs at scale, choosing the right GPU strategy is essential.
arrow_outward
What fits on an NVIDIA B300 node: the 288GB memory math for 405B and 70B LLM inference, and where a single GPU stops.
What fits on an RTX Pro 6000 Blackwell node: the 96GB memory math for 70B LLM inference and QLoRA fine-tuning, and where the limit sits.
Foundation model training infrastructure depends on GPU memory bandwidth and interconnect, not GPU count. Here's the data behind it
RTX Pro 6000 Blackwell price has risen 87% since launch. What's behind the GDDR7 shortage driving it, and what it means for buy-vs-rent decisions.
Why Series A AI companies are moving off AWS GPU before a forcing function makes the decision for them, and how bare metal changes the math
B300 vs H200: a technical decision framework for bare metal GPU infrastructure, covering memory, FP4 throughput, cooling, and workload fit.
