GB300 SXM6 on VERDA
Visit VERDAVERDA provides access to the NVIDIA GB300 SXM6, featuring 288GB VRAM on the Blackwell Ultra architecture, optimized for enterprise-grade AI training, inference, and HPC workloads. This combination stands out due to VERDA's green computing ethos, repurposing data center waste heat for district heating, which addresses the environmental concerns of power-intensive GPUs like the GB300. Ideal for ML engineers and data scientists in Europe seeking sustainable alternatives to traditional cloud providers, it offers massive memory for handling trillion-parameter models, enhanced tensor performance, and per-hour billing for cost efficiency. Key value propositions include reduced carbon emissions, EU data locality for compliance (e.g., GDPR), and seamless integration with NVIDIA software stack. While early adopters benefit from cutting-edge hardware, full ecosystem maturity is evolving, making it a forward-thinking choice for ESG-aligned AI initiatives.
Why NVIDIA GB300 SXM6 on VERDA?
Opt for VERDA's NVIDIA GB300 SXM6 when sustainability meets enterprise performance. VERDA's waste heat recovery for district heating directly counters the GB300's high TDP (up to 1kW+ per GPU), enabling greener AI training in Europe. This complements the GPU's 288GB HBM3e VRAM for large-scale models, with per-hour billing suiting variable workloads better than reservations. EU locations minimize latency for regional teams and ensure data sovereignty. Unlike hyperscalers focused on scale over eco-impact, VERDA's infrastructure emphasizes efficiency, appealing to organizations with green mandates while delivering Blackwell's FP4/FP8 accelerations without on-premises hassles.
Live Pricing
Real-time NVIDIA GB300 SXM6 offers from VERDA
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 4×NVIDIA GB300 SXM6 288GB VRAM | 288GB | 128 vCPU 900GB RAM | Finland | $7.99/GPU/hr $31.96/hr total (4×) | Sold Out | ||
VERDA | 4×NVIDIA GB300 SXM6 288GB VRAM | 288GB | 128 vCPU 900GB RAM | Helsinki | $7.99/GPU/hr $31.96/hr total (4×) | Sold Out | ||
VERDA | NVIDIA GB300 SXM6 288GB VRAM | 288GB | 32 vCPU 225GB RAM | Finland | $7.99/GPU/hr | Sold Out | ||
VERDA | 2×NVIDIA GB300 SXM6 288GB VRAM | 288GB | 64 vCPU 450GB RAM | Finland | $7.99/GPU/hr $15.98/hr total (2×) | Sold Out | ||
VERDA | NVIDIA GB300 SXM6 288GB VRAM | 288GB | 32 vCPU 225GB RAM | Helsinki | $7.99/GPU/hr | Sold Out |
Performance Notes
The NVIDIA GB300 SXM6 on VERDA promises transformative AI performance via Blackwell Ultra's doubled FP8 throughput over Hopper and advanced decompression engines. Expect strong multi-GPU scaling through NVLink (up to 1.8TB/s), suitable for DGX GB200-like pods. VERDA's cluster networking likely includes 400-800Gbps InfiniBand/Ethernet, though specifics are unpublished. Storage options feature NVMe SSDs for high IOPS. As a nascent offering, real-world benchmarks (e.g., MLPerf) are limited—NVIDIA claims 30x inference gains on LLMs, but verify via early access programs. VERDA's cooling optimizes sustained loads, but monitor for thermal throttling in dense configs.
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
288GB
Architecture
Blackwell Ultra
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA GB300 SXM6 on VERDA is efficient through their web console. New users sign up, select instances, customize with ML frameworks, and deploy in minutes. Pre-built NVIDIA NGC images accelerate setup for PyTorch/TensorFlow, enabling quick iteration from prototyping to distributed training in a sustainable environment.
Steps
- 1Sign up on VERDA's portal and verify your account with KYC.
- 2Browse GPU catalog, select NVIDIA GB300 SXM6 configuration.
- 3Specify instance size, storage (NVMe), and networking options.
- 4Choose base image (e.g., Ubuntu + CUDA 12.4) and deploy.
- 5Access via SSH, Jupyter, or VNC; monitor via dashboard.
Pro Tips
- Track sustainability metrics in VERDA's dashboard to quantify waste heat reuse for ESG reporting.
- Pull NVIDIA NGC containers for optimized GB300 kernels, boosting training throughput by 20-50%.
- Start with single-node tests before scaling to clusters for efficient large-model fine-tuning.
Frequently Asked Questions
What is VERDA's billing model for NVIDIA GB300 SXM6?▾
VERDA bills per-hour for GPU instances including NVIDIA GB300 SXM6. 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 GB300 SXM6?▾
No, VERDA does not currently offer spot instances for NVIDIA GB300 SXM6. 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 GB300 SXM6?▾
Yes, VERDA offers reserved instance pricing for NVIDIA GB300 SXM6, 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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