Next-Gen GPUs in Early Access
Explore Next-Gen GPUs in Early Access (H200/MI325X/B200)
Try the future of accelerated computing today
Get hands-on with our most powerful GPUs before general availability. Whether you're training large-scale AI models, exploring advanced visual simulations, or benchmarking your next SaaS service, OVHcloud Labs gives you early access to cutting-edge compute infrastructure. You'll be working under real conditions and with our usual transparency.
Why Early Access?
We’re opening our infrastructure roadmap to you. This page lists our latest GPUs in beta or pre-release, so you can:
- Benchmark emerging architectures
- Experiment with up to 8 GPUs per server (PCIe or NVLink)
- Help shape our offer by sharing feedback
- Anticipate integration into your AI stack or SaaS product
- Get early-stage access before global launch
GPUs Ready for Preview
Discover Today’s Cutting‑Edge GPU Configurations:
NVIDIA H200 NVL
Up to 4x GPUs with NVLink
Based on Hopper architecture, these GPUs provide high memory bandwidth and are ideal for GenAI, LLM fine-tuning, and complex simulations.
Specifications per GPU
Memory: 141 GB HBM3e @4.8 TB/s
Performance: 1 671 TFLOPS (BFLOAT16*)
Precision: FP64 / FP32 / FP16 / FP8 / INT8
Interconnect: NVIDIA NVLink bridge (900 GB/s per GPU)
Multi-Instance: Up to 7 MIGs @16.5 GB each
*: Tensor Core (with Sparsity)
AMD Instinct MI325X
8x PCIe GPUs per server
A powerful alternative to NVIDIA for training and inference. PCIe-based architecture ensures flexibility and high throughput for AI/ML workloads.
Specifications per GPU
Memory: 256 GB HBM3e @6.0 TB/s
Performance: 2 610 TFLOPS (FP16*)
Precision: FP64 / FP32 / FP16 / FP8 / INT8
Interconnect: PCIe Gen5 (128 GB/s)
*: with Structured Sparsity
NVIDIA B200 HGX
8x GPUs with NVSwitch interconnect
Our upcoming B200 cluster (based on Blackwell) is optimized for extreme-scale AI workloads, with full interconnect bandwidth and large memory per GPU.
Specifications per SERVER
Memory: 1 440 GB total, HBM3e @64TB/s
Performance: 72 petaFLOPS (FP8*)
Precision: FP64 / FP32 / FP16 / FP8 / INT8 / FP4
Interconnect: 2x NVIDIA NVSwitch (14.4 TB/s aggregate)
*: Tensor Core (with Sparsity)
Next-Gen GPU Use Cases
Fueling Next‑Gen AI, Scientific Discovery & High-Demand Compute Pipelines
High‑Throughput & Low‑Latency Inference
Perfect for real-time services like chatbots, recommendation engines, fraud detection ; requiring both throughput and response time. Blackwell-based GPUs with advanced tensor engines and NVLink reduce latency and maximize concurrent inference requests.
Training & Fine-tuning
Ideal for fine-tuning LLMs and training Deep Learning models at scale. These GPUs (H200 NVL, MI325X, B200 HGX) offer massive memory, bandwidth, and interconnect performance enabling efficient training and fine-tuning.
Scientific Workloads
From genomics, climate modeling, and fluid dynamics to molecular simulations and physics engines, these GPUs deliver high FP64/FP32 mixed precision, enabling faster, more accurate simulations and analyses.
Financial Modeling & Risk Analytics
Run Monte Carlo simulations, scenario-based stress tests, and ML-driven forecasts faster. The combination of high compute density and low-latency interconnect supports real-time, complex quantitative workloads.
Want Early Access?
Let us know what you’re building, whether it’s an AI training pipeline, a GenAI inference engine, or a high-performance rendering setup.
We’ll get back to you with access instructions and a test environment tailored to your needs.
Contact us at gpu-labs@ovhcloud.com to request early access.
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