Elastic GPU Fabric
Thousands of H-class accelerators in seconds, meshed over a 3.2 Tb/s interconnect. Billed per second you actually burn.
Deep Learning Infrastructure // 2026
Train frontier models on accelerated silicon.
NeuraCore orchestrates elastic GPU clusters, autotuned pipelines and 60 Hz telemetry — so your team ships production models in days, not quarters.
120 PFLOPS99.99% UPTIME50M+ INFERENCES/DAY
Capabilities
Built for the compute-hungry.
Three primitives power every NeuraCore deployment, from a single fine-tune to thousand-GPU pretraining runs.
Zero-Regression Autotuning
Kernel search, mixed precision and sharding strategies benchmarked on your workload — 47% faster training, no code changes.
Live Telemetry
Token-level loss, thermal maps and gradient norms streamed at 60 Hz. Bugs surface in seconds, not in post-mortems.
Pipeline
From data to deployment in three moves.
One CLI, three verbs. NeuraCore handles sharding, scheduling and serving underneath.
01
Connect your data
Point NeuraCore at your buckets or streams — schemas are inferred, validated and sharded automatically.
02
Launch training
Pick a recipe or bring your own. The scheduler shards work across the fabric and autotunes as it learns.
03
Serve globally
One command quantizes and deploys to 30 edge regions behind autoscaling inference endpoints.
Field Reports
Trusted where latency is money.
Teams running production models on NeuraCore, in their own words.
“We cut GPT-scale pretraining from eleven weeks to nineteen days. The fabric never blinked once.”
VP of AI Infrastructure · Helix Systems
“Autotuning alone paid for the contract — our inference bill dropped 38% in the first month.”
ML Platform Lead · Orbital Labs
“The telemetry is absurd. I watch gradient norms like a heartbeat monitor now.”
Research Scientist · Aether Institute
Pricing
Pay for compute, not ceremony.
Every plan includes the fabric CLI, live dashboards and encryption at rest. No seat taxes.
Solo
$49/mo
- 80 GPU-hours included
- Shared fabric, burstable
- 1 Hz telemetry
- Community support
Scale
$199/mo
- 400 GPU-hours included
- Zero-regression autotuning
- 60 Hz telemetry
- Priority scheduling queue
- SSO + audit logs
Enterprise
Custom
- Dedicated clusters & VPC peering
- 99.99% uptime SLA
- Private model registry
- 24/7 named engineers
FAQ
Questions, answered.
Everything teams ask before their first training run.
H-class and next-generation accelerators across 12 regions, meshed over a 3.2 Tb/s interconnect. Capacity is reserved in seconds and billed per second — no queues, no ticket walls.
Yes. Data, tensor and pipeline parallelism are configured automatically from your model graph — PyTorch FSDP and JAX sharding just work, no cluster YAML required.
Every artifact is encrypted at rest (AES-256) and in transit. Workloads run in single-tenant sandboxes, regions can be pinned for compliance, and your data is never used for training.
Absolutely. Ship standard PyTorch or JAX containers, custom CUDA/Triton kernels and private base weights — the fabric treats your image as the source of truth.
Metered overage kicks in at $1.20 per GPU-hour with configurable budget alerts and hard caps, so a runaway run can never surprise your invoice.
Final Boarding
Ship your next model this quarter.
Request access and get 100 free GPU-hours to benchmark the fabric on your own workload.
Read customer stories