GPU Leasing

Reserve operator-grade GPU clusters with SSH root, clear lead times, and one procurement boundary.

BatchIn turns dedicated capacity into a buying decision your infrastructure team can actually act on: quoted accelerator lanes, rollout timing, and optional billing or audit surfaces when production needs them.

The strongest path is to validate one workload first, then expand into batch, white-label delivery, or reserved capacity without changing the backend or the vendor boundary.

H200

$1.80/hr

Turnup

Same day -> 10 days

Access

SSH root

Procurement

Quote + rollout plan

Commercial shape

The goal is not a brochure page. Each product should make the next commercial decision obvious, whether that is self-serve adoption, operator rollout, or reserved capacity.

01

Hardware options for real workloads

Choose the accelerator lane that matches memory pressure, latency targets, and how quickly the team needs to move into production.

02

You keep the runtime

GPU leasing is for workloads where serverless is the wrong abstraction. BatchIn provides the capacity; your team controls the operating model.

01

Hardware options for real workloads

Choose the accelerator lane that matches memory pressure, latency targets, and how quickly the team needs to move into production.

  • H200 and H100 for flagship reasoning, large-memory serving, and broad framework compatibility.
  • L40S and A800 for image, video, embedding, and cost-sensitive production throughput.
  • 910C and limited-cohort Blackwell lanes when supply strategy matters as much as raw speed.
02

You keep the runtime

GPU leasing is for workloads where serverless is the wrong abstraction. BatchIn provides the capacity; your team controls the operating model.

  • SSH root access for custom runtimes, schedulers, and observability agents.
  • Bring your own model stack, checkpoints, quantization, and deployment workflow.
  • Add BatchIn billing, batch, or verifiable audit products only when they help the rollout.

API-backed leasing lifecycle

The backend already ships more than a contact form: buyer discovery, tokenized status reads, commercial reservation states, contract tracking, and provisioning milestones are all explicit routes.

01

Publish the live menu

Expose real offer IDs, monthly pricing, setup timing, region scope, and workload fit before procurement starts.

GET /v1/leasing/offers

02

Capture the buyer inquiry

Turn a capacity request into a persistent inquiry with estimated pricing plus a customer-safe status token.

POST /v1/leasing/inquiries · GET /v1/leasing/inquiries/{inquiry_id}

03

Quote and reserve

Internal ops can quote, hold, reserve, release, expire, or mark the opportunity lost without leaving the API.

POST /v1/leasing/internal/inquiries/{id}/quote · /status

04

Track contract to go-live

Once reserved, the same inquiry carries signed-order, rack assignment, burn-in, ready, and live milestones.

POST /v1/leasing/internal/inquiries/{id}/order · /provisioning

Partner sync and webhook ops

CRM, ERP, and delivery systems can either poll the leasing ledger or subscribe to signed milestone callbacks.

Filtered export

Pull JSON or CSV by commercial status, contract milestone, provisioning stage, offer, or updated_since windows.

GET /v1/leasing/internal/inquiries?format=json|csv

Signed milestone callbacks

Create per-partner webhook subscriptions for leasing.order.updated and leasing.provisioning.updated, optionally filtered by offer.

POST /v1/leasing/internal/webhooks

Dead-letter replay

Inspect failed deliveries and redrive one event into a fresh signed attempt without mutating the inquiry state.

GET /v1/leasing/internal/webhooks/dead-letter · POST .../replay

How capacity gets delivered

The point is to make the next commercial step obvious before you open a procurement thread or start a migration.

01

Pilot cluster

Start with an 8-32 GPU reserved slice when you are moving off shared endpoints, validating throughput, or proving a customer workload.

Typical turnup: same day to 3 business days

02

Production rack

Move into 64-256 GPU delivery with image handoff, VPC coordination, observability hooks, and a clearer operator boundary.

Typical turnup: 3 to 10 business days

03

Frontier allocation

Use quote-based cohorts for B200 or other constrained lanes when the workload justifies pre-allocated windows and deeper rollout planning.

Typical turnup: allocation window + project quote

Current GPU lineup

Reference hourly rates, workload fit, and realistic delivery timing for the current leasing menu.

Frontier or constrained inventory is sold by quote and allocation window rather than placeholder list pricing.

GPUFrom $/GPU-hrVRAMArchitectureBest forAvailability
B200Quote-based192GB HBM3eBlackwellFP4-heavy flagship serving and frontier multimodal clustersAllocation window
H200$1.80141GB HBM3eHopperLarge MoE and flagship inferenceSame day
H100$1.5080GB HBM3HopperIndustry-standard production serving2-5 days
H20$1.2096GB HBM3HopperLong-context inference and reserved-capacity deployment5-10 days
A800$1.0080GB HBM2eAmpereMid-size models and cost-optimized servingSame day
910C$0.8064GB HBM2eAscendAlternative silicon planning and lower-cost deploymentSame day
L40S$0.6048GB GDDR6XAda LovelaceImage, video, and embedding inference2-5 days

Rollout path

Keep procurement, rollout, and expansion on one line

01

Validate the workload shape first

Confirm model fit, latency expectations, and pricing boundaries before procurement starts.

02

Lock the operating model

Set the right key policy, billing path, and audit expectations for the team that will run it.

03

Upgrade without changing vendors

Move into batch, white-label delivery, or dedicated capacity only when traffic or commitments justify it.

Adjacent product paths

Connect this product to the rest of the platform

BatchIn is strongest when one product page makes the next commercial move obvious, instead of forcing the buyer to stitch the rollout path together alone.

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