Unrivaled Memory Bandwidth and Power
Efficient design makes AMD Instinct™ MI300X GPUs a top contender for powering next-generation AI models and scientific computing workloads
Build, Deploy, and Scale AI on Your Own Terms
Neysa Velocis is a purpose-built AI acceleration cloud that unifies GPU compute, high speed networking, storage, MLOps, and managed inference in one platform. You move from notebooks to training, fine tuning, and production endpoints without stitching together multiple vendors or tools.
Spend stays predictable through transparent pricing and cost governance, while your data, models, and keys remain under your control.
Why Enterprises Trust Neysa Velocis and AMD Instinct™
- One Platform from Experiment to Production: Run workloads on virtual machines, bare metal clusters, or managed Kubernetes, all backed by AMD Instinct™ GPUs and the open ROCm™ software stack. From the first training run to production scale inference, you operate in one console for monitoring, cost and governance.
- Pricing You Can See: Predictable pricing with full cost visibility. Estimate spend before you deploy, and drill into every invoice by project, compute, storage, and network resource. Cost dashboards give engineers and finance teams shared visibility into usage and projected spend.
- Engineers on Your Side: Neysa’s MLOps and infrastructure engineers help you design clusters, tune performance on AMD Instinct™ GPUs, and harden your production environment. 24x7 support with direct-to-engineer escalation helps ensures issues in production are resolved quickly.
- Sovereign by Design: Compute runs in Indian data centers, so your training data, models and logs stay in country and under your governance. This helps global and Indian enterprises meet regulatory and data residency requirements for financial services, healthcare, and public sector workloads.
Built for Every AI Workload
- Build and Train: Develop and fine tune models using familiar tools such as Jupyter notebooks, PyTorch, and other common frameworks, all optimized on ROCm for AMD Instinct™ GPUs. Idle sessions can be automatically shut down, reducing waste from forgotten notebooks and unused compute.
- Production-Scale Inference: Serve models on dedicated, single-tenant endpoints designed to handle sustained throughput and variable load. Orchestration and high-performance interconnects keep latency predictable as traffic grows.
- Hybrid and Localized Deployment: Run AI on shared cloud, dedicated bare metal, or a private single-tenant AI cloud hosted in India. You can align infrastructure choices with data residency, compliance, and performance needs without changing platforms.
- Generative AI and LLMs: Build chat, copilots, summarization, and retrieval augmented generation on Neysa’s infrastructure, then take them from prototype to production in the same environment. Open-source friendly tooling lets you work with leading LLM frameworks while keeping weights and prompts within your boundary.
Security and Control, Built In
- Built for Regulated Enterprises: Run AI under strict compliance: financial services, healthcare, and the public sector, with India focused regulations such as SEBI, IRDAI, and MeitY. Neysa’s platforms are certified to SOC 2, ISO 27001, 27017, 27018, and CSA STAR Level 2, supporting enterprise risk and audit needs.
- You Own Everything: Your own virtual private cloud with dedicated control plane, data, and keys, using SSO, role-based access control, multi factor authentication, and full audit trails. You can choose virtual machines, Kubernetes, or bare metal and continue to use open-source tooling across the stack.
- Helps Stop Threats In, Stop Leak Outs: Add Aegis LLM Shield to inspect every prompt and response for threats and sensitive data. It helps block prompt injection, mitigate model denial of service, and prevent sensitive information disclosure and data leaks in line with the OWASP Top 10 for LLM applications.
Evaluate AMD Instinct GPUs on Neysa Velocis
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