H200 SXM on VERDA
Visit VERDAVERDA delivers NVIDIA H200 SXM GPUs, combining enterprise-grade AI acceleration with pioneering green computing in Europe. The H200 SXM, built on Hopper architecture, features 141GB HBM3e VRAM, 4.8 TB/s bandwidth, and advanced FP8/Transformer Engine support, ideal for training trillion-parameter LLMs, HPC simulations, and analytics at scale. VERDA stands out by repurposing waste heat from these power-intensive GPUs for district heating, slashing carbon emissions and aligning with ESG mandates. Targeted at sustainability-focused ML engineers and data scientists in Europe, this offering provides flexible hourly billing, low-latency regional access, and optimized infrastructure for demanding workloads. Key value propositions include unmatched memory capacity for memory-bound models, eco-conscious operations reducing environmental impact, and cost-effective scaling without long-term commitments—empowering teams to push AI boundaries responsibly.
Why NVIDIA H200 SXM on VERDA?
Opt for VERDA's NVIDIA H200 SXM when sustainability meets high-performance AI needs in Europe. VERDA's waste heat recovery for district heating directly counters the H200's 700W TDP, making it among the greenest options for energy-hungry training runs. Hourly billing ensures pay-as-you-go flexibility for bursty ML workloads, complementing the GPU's massive 141GB VRAM for handling enormous models without fragmentation. Europe-based data centers offer low-latency for EU-regulated data and compliance. VERDA's ML-optimized stacks enhance Hopper's capabilities, providing a unique blend of performance, scalability, and environmental responsibility over less eco-focused providers.
Live Pricing
Real-time NVIDIA H200 SXM offers from VERDA
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 88 vCPU 370GB RAM | Finland | $3.39/GPU/hr $6.78/hr total (2×) | Sold Out | ||
VERDA | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 88 vCPU 370GB RAM | Finland | $3.39/GPU/hr $6.78/hr total (2×) | Sold Out | ||
VERDA | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 88 vCPU 370GB RAM | Helsinki | $3.39/GPU/hr $6.78/hr total (2×) | Sold Out | ||
VERDA | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 176 vCPU 740GB RAM | Finland | $3.39/GPU/hr $13.56/hr total (4×) | Sold Out | ||
VERDA | NVIDIA H200 SXM 141GB VRAM | 141GB | 44 vCPU 170GB RAM | Helsinki | $5.66/GPU/hr | Available |
Performance Notes
Expect NVIDIA-spec H200 SXM performance on VERDA: 141GB HBM3e at 4.8 TB/s bandwidth excels in memory-intensive tasks like LLM fine-tuning. Hopper's FP8 and TensorRT-LLM optimizations shine for inference. Multi-GPU scaling via NVLink probable in clusters, with network likely 400Gbps+ InfiniBand/Ethernet for efficient all-reduce. Fast NVMe storage supports large datasets, but exact IOPS/TB unknown. No public benchmarks yet; assume near-native NVIDIA throughput, though provider overhead or cooling optimizations may vary. Test scaling empirically for production; strong for Europe-latency-sensitive distributed training.
A provider focused on green computing using waste heat for district heating.
Best For
Unique Features
- Use of waste heat for district heating
- Green computing focus
VRAM
141GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launch NVIDIA H200 SXM on VERDA quickly through their intuitive dashboard, tailored for AI workloads. Benefit from pre-configured CUDA 12+, PyTorch/TensorFlow, and NGC containers. Europe-hosted instances ensure data residency compliance, with hourly billing for seamless scaling.
Steps
- 1Sign up on VERDA's website and verify your account via email.
- 2Access the GPU console, search for NVIDIA H200 SXM, and select configuration.
- 3Specify vCPU/RAM, storage volume, and network settings for your workload.
- 4Review hourly pricing, add payment method, and deploy the instance.
- 5Connect via SSH/Jupyter, pull Docker images, and start training.
Pro Tips
- Leverage VERDA's sustainability dashboard to track and report carbon savings for ESG compliance.
- Pre-warm instances with checkpointing to minimize cold-start delays in iterative training loops.
- Pair with EU-local object storage for fast data access and regulatory adherence.
Frequently Asked Questions
What is VERDA's billing model for NVIDIA H200 SXM?▾
VERDA bills per-hour for GPU instances including NVIDIA H200 SXM. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does VERDA offer spot instances for NVIDIA H200 SXM?▾
No, VERDA does not currently offer spot instances for NVIDIA H200 SXM. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does VERDA offer reserved instances for NVIDIA H200 SXM?▾
Yes, VERDA offers reserved instance pricing for NVIDIA H200 SXM, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact VERDA for current reserved pricing and commitment terms.
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