Cosmic Computing
NeoCloud

AI GPU Cloud.
Reserved capacity. Predictable economics.

Bare-metal GPU clusters and on-demand instances, optimized for distributed AI and HPC workloads. Multi-year contracts on B300, B200, GB300, and H200 infrastructure — anchored by direct GPU ownership.

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Solutions

Built for every workload.

Train massive AI models, deploy intelligent agents, or run HPC research. Cosmic NeoCloud delivers the compute, networking, and efficiency to accelerate your workloads.

Train LLMs
Multi-GPU clusters with Slurm scheduling and InfiniBand networking for fast, distributed training.
Deploy AI agents
Prototype and run agentic AI with containerized environments, NIM APIs, and GPU acceleration.
Operate ML pipelines
GPU-accelerated environments with observability, versioning, and automation via CLI, Terraform, and GitOps.
Run CUDA & HPC workloads
Direct GPU access for CUDA development, GPU kernel testing, and high-performance scientific computing.
GPU lineup

Train faster. Scale smarter.

Next-generation NVIDIA infrastructure with liquid-cooled efficiency and full support for distributed training and inference. Available as bare-metal nodes or fully-managed VMs.

Blackwell Ultra · HGX 8-GPU
NVIDIA B300
Train at the frontier.

Cosmic's flagship Blackwell Ultra platform — purpose-built for the largest training jobs and the most demanding low-latency inference workloads.

  • GPU8× NVIDIA B300 Tensor Core (Blackwell Ultra, HBM3e)
  • GPU memory8× 288 GB HBM3e (≈ 2.3 TB total)
  • InterconnectNVLink 5 + NVSwitch (1.8 TB/s per GPU)
  • CPU2× Intel Xeon Platinum (latest generation)
  • System memoryUp to 4 TB DDR5 ECC
  • NetworkInfiniBand NDR 400/800 Gb/s or 400 GbE (RDMA / RoCE v2)
Blackwell · HGX 8-GPU
NVIDIA B200
Production inference at scale.

Blackwell-generation HGX nodes optimized for high-throughput inference, fine-tuning, and continued pre-training.

  • GPU8× NVIDIA B200 Tensor Core (Blackwell, HBM3e)
  • GPU memory8× 192 GB HBM3e (≈ 1.5 TB total)
  • InterconnectNVLink 5 + NVSwitch (1.8 TB/s per GPU)
  • CPU2× Intel Xeon Platinum 8570 (or equivalent)
  • System memoryUp to 4 TB DDR5 ECC
  • NetworkInfiniBand NDR 400/800 Gb/s or 400 GbE (RDMA / RoCE v2)
Grace-Blackwell Ultra · NVL72
NVIDIA GB300
Rack-scale coherent compute.

72-GPU NVLink domain in a single liquid-cooled rack — the largest coherent compute substrate available for foundation-model training.

  • GPU72× B300 Tensor Core + 36× Grace CPUs per rack
  • GPU memory≈ 21 TB HBM3e per rack
  • Interconnect5th-gen NVLink Switch fabric (rack-wide)
  • Domain72-GPU coherent NVLink domain
  • Aggregate FP41.1 EFLOPS per rack
  • NetworkInfiniBand NDR 400/800 Gb/s (RDMA / RoCE v2)
Hopper · HGX 8-GPU
NVIDIA H200
Proven Hopper performance.

Hopper-generation HGX nodes with HBM3e memory upgrade — production-ready capacity for serving, fine-tuning, and HPC workloads.

  • GPU8× NVIDIA H200 Tensor Core (Hopper, HBM3e)
  • GPU memory8× 141 GB HBM3e (≈ 1.13 TB total)
  • InterconnectNVLink 4 + NVSwitch (900 GB/s per GPU)
  • CPU2× Intel Xeon Platinum 8462Y+
  • System memory2 TB DDR5 5600 MT/s ECC
  • NetworkInfiniBand NDR 400 Gb/s or 400 GbE (RDMA / RoCE v2)
Start training, testing, or deploying today.
Reserve dedicated capacity on B300, B200, GB300, or H200.
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Reserved contracts

Built for institutional buyers.

Multi-year fixed-term contracts with dedicated capacity and predictable allocation. Designed for AI labs, media platforms, and sovereign workloads that demand stability over years, not minutes.

  • Dedicated GPU pools — never shared, never preempted
  • Flexible term structures for committed deployments
  • Regional availability in Malaysia and Indonesia
  • Optional in-country contracting where local operating entities are available
  • Pre-deployment burn-in and acceptance testing
  • Quarterly business reviews and dedicated solutions architecture
Non-blocking fabric
InfiniBand, Spectrum-X, and RoCE options for demanding training jobs.
High-performance storage
Parallel filesystems, NVMe checkpoint tiers, S3-compatible object storage.
Enterprise SLA
99.9% uptime SLA, 24/7 support, mission-critical operations and credit remedies.
Bare-metal & VM access
Direct hardware access or fully-managed VMs — pick the abstraction that fits.
Developer experience

Optimized for AI developers.

CUDA-ready environments, Jupyter notebooks, and NIM toolkits — all included out of the box. With Slurm integration, observability, and hybrid cloud connectivity, you get GPU power without setup overhead.

Layer onto your workflow

The tools you already use.

AI Workbench
On-demand or reserved instances for AI workloads, ready to deploy.
NIM Inference APIs
Deploy AI development environments instantly with NVIDIA NIM.
Observability & Monitoring
Track GPU usage, job performance, and costs with built-in observability tools.
Availability

The latest NVIDIA GPUs, available on-demand or as reserved clusters.

Training LLMs
B300 / GB300 multi-node clusters with InfiniBand
Running inference
B200 instances for fast deployment
Research & CUDA dev
Single-node configs for experimentation

Talk to us about a multi-year reserved contract.

Capacity is allocated quarter-by-quarter. Contact our team to discuss upcoming availability.

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