From machine learning models that could classify images or predict churn, to today’s GenAI copilots, the pace of AI progress has been exponential. However, here’s the catch: while AI models have evolved dramatically, the infrastructure supporting them hasn’t kept pace.
Most organizations, startups, and enterprises alike are now bottlenecked not by ambition but by infrastructure:
- Limited or unpredictable access to high-performance GPUs
- Complex orchestration and DevOps overhead
- Frustrating scale-up bottlenecks
- Rising costs with little visibility or control
The public cloud, which served us well in the era of virtual machines and stateless web apps, is now straining under the weight of AI-native demands.
At Neysa, we ask: Is there a better way to support AI at scale?
The Shift: From General-Purpose Cloud to AI Acceleration Cloud
We’re at the dawn of a new category, what we call AI Acceleration Cloud.
This is not just “cloud with GPUs.” It’s a purpose-built modular stack, engineered from silicon to orchestration, designed to serve one goal: help organizations move AI workloads, from experimentation to deployment, with speed, precision, and control.
Introducing: Neysa Velocis
Neysa Velocis is our flagship AI Acceleration Cloud system. It’s built from the ground up for AI-native teams across industries, including fintech, research, AI startups, and enterprises scaling AI across various functions. Here’s what sets Velocis apart:
1. Radically Flexible Deployment
Run bursty training jobs, low-latency inference, or real-time CV pipelines, all on one platform. Deploy in Neysa’s public cloud, a private cluster, or a hybrid setup. There are no forced lock-ins. No rigid workflows.
2. Predictable Performance at Scale
Provision GPU resources, including NVIDIA H100s and H200s, on-demand or as dedicated, bare-metal clusters. Scale up or down with elastic precision. Our Cloud-optimized Interconnect Fabric ensures low latency and high throughput for even the most demanding compute tasks.
3. Transparent, Secure, Compliant
Velocis is built with observability and governance by design, featuring granular RBAC, zero-trust access, encrypted workloads, audit trails, and alignment with local and global compliance requirements.
4. Open by Design
Neysa Velocis is fully open-source compatible. Bring your frameworks (PyTorch, TensorFlow), your tools (MLflow, Jupyter, Docker), and your models. Avoid the lock-ins of hyperscaler PaaS solutions that treat every action as a black-box API call.
Why Neysa Velocis Is Not Just Another GPU Cloud
GPU cloud providers offer access, not outcomes. Hyperscalers provide power, not simplicity. Neysa Velocis delivers both:
| Hyperscalers | GPU Cloud Providers | Neysa Velocis | |
| GPU Access | Limited + expensive | Broad, but variable | Guaranteed access, on-demand + reserved |
| Stack Integration | Build-your-own | Just hardware + Basic Orchestration | Full-stack: GPU + Modular Orchestration + MLOps + Solutions Marketplace |
| Compliance | Global compliance posture | No built-in support | Aligned with global and local compliance requirements |
| Pricing | Complex, opaque | Flat hourly | Transparent, predictable, usage-aware |
| Support | Tiered, slow | Basic, OEM Dependent | Embedded ML + Infrastructure expert support + AI use-case co-build partner ecosystem |
Neysa Velocis in Action: A Glimpse of the Possible
Imagine FinAnalytica, a cutting-edge fintech with an AI-native SaaS platform that delivers financial early warning and analytical services to its clients, including leading Banks and other Financial Institutions.
Their platform requires training on petabytes of specialized text data – a task that necessitates dozens of GPUs, but only during their prototyping and development phases. After that, they want to fine-tune their selection of open-weight LLMs on their data, allowing their clients to query their AI Chatbot in real-time. When they eventually move into production, they need a wide range of GPUs deployed as VMs or K8S clusters to be able to scale efficiently and cost-effectively.
With Neysa Velocis:
- Their ML teams utilize Velocis Bare Metal NVIDIA H100 GPU clusters to train their models on a combination of existing organic data and synthetic data. They estimate that this will take them 3 months but can conclude their training in 2 months with the help of Neysa’s in-house ML and Infrastructure teams, which have helped them optimize their model deployment and training pipelines.
- They then release the H100 Bare Metal cluster and begin to fine-tune open-weight LLMs using the Velocis AI Cloud Platform – instantly provisioning Jupyter Notebooks for their teams on the Velocis portal on an on-demand basis.
- Finally, they’re able to provision Dedicated Inference Endpoints for popular open-weights models on the Velocis platform, comparing LLM performance across a range of models from Llama, Mistral, DeepSeek, and Qwen, and they quickly conclude that at scale, open-weights models offer far superior price-performance than token-based proprietary models.
Within three months, they’ve moved their AI SaaS offering from Prototype to Production, saving over 50% of the training, fine-tuning, and Inference costs compared to traditional hyper-scale clouds. This is the kind of velocity we enable.
You build the AI applications and models. We make sure nothing slows you down.
Who Needs an AI Acceleration Cloud?
If you’re an AI-native startup building and scaling GenAI products, a large bank moving from AI pilot to production, or a lab training and deploying open-weight models, Neysa Velocis was built for you.
You’ve likely hit one or more of these friction points:
- Can’t get the GPUs you need when you need them
- Cloud bills are spiralling without clarity or control
- Model deployment takes weeks due to MLOps bottlenecks
- Your infrastructure isn’t aligned with your AI lifecycle
Neysa Velocis solves this with AI-first infrastructure, orchestration, security, and pricing.
Welcome to the Age of Neoclouds
AI Acceleration Clouds, such as Neysa Velocis, are the foundation of this new infrastructure era. They’re not general-purpose clouds retrofitted for AI. They’re AI-native by design.
With Neysa Velocis, you’re not just buying compute, you’re unlocking speed, value, model confidence, and production readiness.
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