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TABLE OF CONTENTS
Updated: 17 Jan 2025
NVIDIA H100 SXM On-Demand
Welcome back to the latest edition of Hyperstack Weekly! We’ve got huge news for those looking to make their next big breakthrough in 2025. Hyperstack is now offering new H100 SXM systems, perfect for your AI projects. Continue reading our newsletter below to explore the latest H100 updates, blogs and event recap.
New NVIDIA H100 SXM Systems
Exciting news! 128 new NVIDIA H100 SXM systems go live next week on Hyperstack, offering a real cloud environment for AI training, fine-tuning and large-scale inference. With the NVIDIA H100 SXM, you get:
- Extreme GPU Power: Leverage NVLink for 600 GB/s GPU-to-GPU communication, NVSitch for full-mesh GPU-to-GPU connectivity and and 2,000 TOPs for blazing-fast AI inference.
- Advanced Memory: Each system includes 80GB HBM3 memory for easily handling massive datasets.
- Flexible Storage Options: Ephemeral NVMe storage up to 32 TB and persistent data storage options ensure your data needs are covered.
- Optimised for parallel workloads: Features like NUMA-aware scheduling and CPU pinning maximise parallel processing performance.
Build, Innovate and Deliver with Hyperstack
Hyperstack isn’t just where you train your AI models, it’s where you build market-ready products. From development to deployment, our platform offers everything you need to move from innovation to execution. Our new NVIDIA H100 SXM systems are ready to power your next big breakthrough!
Deploy NVIDIA H100 SXM in Minutes!
With our easy 1-click deployment, flexible configurations and on-demand availability, your AI workloads can be running in minutes. Ready to get started?
New in Our Blog
Check out our latest blogs on Hyperstack:
How Much VRAM Do You Need for LLMs:
A Comprehensive Guide
If you're deploying or fine-tuning advanced LLMs, you're likely aware of the challenges involved, particularly the significant VRAM demands. Managing large datasets and complex algorithms necessitates sufficient VRAM for seamless and effective LLM training and inference. Lacking it could lead to slowdowns or even prevent your model from running. Check out our latest blog to learn why VRAM is crucial for working with LLMs and how to assess the amount you need.
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Our Event was a Blast
The "DevSecOps Gathering," held at our London office on January 15 was an absolute blast! With captivating sessions from Alex Tuddenham and Mischa van Kesteren from NexGen Cloud, attendees gained hands-on experience with Local LLMs and explored their role in accelerating cybersecurity expertise. The event offered real-world insights into managing large-scale GPU infrastructures, truly an invaluable experience for professionals in DevSecOps and high-performance computing.
The highlight was connecting with like-minded experts, sharing ideas and enjoying a lively atmosphere with great food and drinks. Don’t believe us? See for yourself below!
Hear It from Our Happy Customers 💬
Listen to the experiences of our partners who love our fast service. Recently, Araar shared his experience with Hyperstack:
We'd love for you to be the next to share your success story with Hyperstack!
That’s a wrap for this edition of the Hyperstack Weekly Rundown! Stay tuned for more updates, new features and announcements next week. Until then, don’t forget to subscribe to our newsletter below for exclusive insights and the latest scoop on AI and GPUs- delivered right to your inbox!
Missed the Previous Editions?
Catch up on everything you need to know from Hyperstack Weekly below: