Compute — Tscale | GPU Compute, Reserved Capacity & Bare-Metal Servers
/ COMPUTE

Dedicated GPU compute at scale

Tscale Compute delivers reserved GPU capacity, bare-metal servers, and high-density clusters for production AI workloads. Reserve 100 GPUs or 100,000 — same SLAs, same pricing model, same direct line to Tscale’s SRE team.

Reserved Capacity

Lock in 1 to 3-year reservations with 20-60% discounts. Your GPUs are waiting when you need them — no queues, no capacity auctions, no surprise out-of-stock messages.

Bare-Metal Performance

Dedicated, single-tenant hardware — no hypervisor, no neighbours, no abstraction tax. Your code runs on the silicon with nothing in between.

Sovereign Regions

Data stays in your jurisdiction. Compute deploys in Lagos today, expanding across Africa and Europe. Every region meets local compliance and data-residency requirements.

/ RESERVED CAPACITY

Predictable pricing, guaranteed capacity

Production AI workloads can’t tolerate capacity risk. Reserve your GPUs in advance with flexible terms — 1 month, 1 year, or 3 years — and Tscale guarantees they’re ready when you need them.

  • 1-month reservations — short-term capacity locks for predictable burst needs, 15% discount.
  • 1-year reservations — the standard for production workloads, up to 40% off on-demand.
  • 3-year reservations — the deepest discount (up to 60%) for committed baseline capacity.
  • Convertible reservations — swap SKUs mid-term as new hardware launches. No sunk cost.
/ BARE-METAL SERVERS

No hypervisor, no compromise

For workloads where every microsecond matters — high-frequency trading, real-time inference, large-scale training — bare-metal gives you direct access to the hardware. Root from day one, no abstractions.

  • 100% hardware access

    Direct PCIe passthrough, SR-IOV, custom kernel modules. Run DPDK, RDMA, or any low-level driver you need.

  • NVLink & NVSwitch domains

    8-way NVLink topologies with 900 GB/s GPU-to-GPU bandwidth for tightly-coupled training.

  • Physical isolation

    Single-tenant hardware for compliance-sensitive workloads. Audit-ready, regulator-friendly.

/ PLATFORM

The full stack around every GPU

Compute isn’t a server in a closet — it’s a complete cloud platform. Storage, networking, automation, and observability come standard with every Tscale GPU you reserve.

GPU Catalog

  • NVIDIA H100 · H200 SXM5
  • NVIDIA A100 80GB
  • NVIDIA B200 Blackwell
  • NVIDIA L40S · L4
  • AMD MI300X · MI250
  • Custom SKUs (volume)

Topology

  • 8x GPU per node (default)
  • 16x GPU high-density
  • NVLink + NVSwitch
  • InfiniBand NDR / HDR
  • RoCE v2 for HPC

Storage

  • Local NVMe (up to 32 TB)
  • High-performance block
  • S3-compatible object
  • Lustre parallel FS
  • Snapshots & clones

Networking

  • 200 / 400 / 800 Gbps fabric
  • Private VPCs
  • Floating IPs
  • Load balancers
  • Direct Connect

Automation

  • Terraform provider
  • Pulumi SDK
  • Ansible collection
  • Radar REST API
  • Webhook events

Support

  • 24/7 SRE on call
  • Dedicated TAM (enterprise)
  • 99.99% uptime SLA
  • Hardware replacement
  • Capacity planning

Performance

60% LOWER COST
vs. hyperscalers

Same hardware, same SLAs, 60% lower bill. The math speaks for itself.

100% GPU BANDWIDTH
No oversubscription

Your GPUs are yours — no noisy neighbours, no shared MIG, no throttled interconnect.

99.99% UPTIME
Backed by enterprise SLA

Hot-standby failover, redundant power, 24/7 SRE on call for cluster-wide incidents.

N+1 REDUNDANCY
No single point of failure

Every cluster ships with at least one spare node. Hardware failures are transparent to your workloads.

For teams that need scale & predictability

Sovereign Compute

Compute that stays in your jurisdiction. Lagos, with expansion to additional African and European regions. Full data-residency compliance built in.

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Capacity Planner

Tscale’s SRE team works with you on multi-quarter capacity plans — peak loads, deadlines, and launch windows. Free consultation, no obligation.

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The full AI lifecycle, one platform

Compute is the foundation. Combine it with the rest of Tscale’s services to train, deploy, and scale models without leaving the platform.

/ COMPUTE

Reserve GPUs, not race for them

Reserve Capacity