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Pricing & Instances

Live GPU, CPU pod, and storage rates pulled from the Meshive backend at every docs build — and how instances (pods) are shaped, sized, and limited.

Meshive bills pod runtime in fixed one-minute intervals (60 seconds) — no minimums, no monthly commitments. Rates are reviewed and re-adjusted every two weeks. Rate tables on this page are pulled from the live Meshive catalog when the docs are built; for the full, current catalog (every supported GPU SKU, spot prices, regional variations, and storage SKUs), sign in at console.meshive.ai — the console is always the live source of truth.

GPU pods

GPUVRAMDemand (per GPU · hr)Spot (per GPU · hr)
A100 PCIe 40GB40 GB$0.6521$0.3913
A100 PCIe 80GB80 GB$1.0623$0.6374
A100 SXM4 40GB40 GB$0.6297$0.3778
A100 SXM4 80GB80 GB$1.6964$1.0178
A4048 GB$0.5665$0.3399
B200180 GB$8.2823$4.9694
H100 PCIe80 GB$2.6585$1.5951
H100 SXM580 GB$2.5446$1.5267
H200141 GB$4.0109$2.4065
L424 GB$0.3826$0.2295
L4048 GB$0.4958$0.2975
L40S48 GB$0.8487$0.5092
RTX 306012 GB$0.0860$0.0516
RTX 3060 Ti8 GB$0.1578$0.0947
RTX 30708 GB$0.1584$0.0951
RTX 3070 Ti8 GB$0.1438$0.0863
RTX 308010 GB$0.2091$0.1255
RTX 308012 GB$0.1154$0.0693
RTX 3080 Ti12 GB$0.2285$0.1371
RTX 309024 GB$0.2732$0.1639
RTX 3090 Ti24 GB$0.2850$0.1710
RTX 40608 GB$0.0659$0.0396
RTX 4060 Ti16 GB$0.1576$0.0946
RTX 407012 GB$0.1867$0.1120
RTX 4070 SUPER12 GB$0.1798$0.1079
RTX 4070 Ti12 GB$0.1028$0.0617
RTX 4070 Ti SUPER16 GB$0.4253$0.2552
RTX 408016 GB$0.2656$0.1593
RTX 4080 SUPER16 GB$0.2733$0.1640
RTX 409024 GB$0.5041$0.3024
RTX 50608 GB$0.0816$0.0490
RTX 5060 Ti16 GB$0.1841$0.1104
RTX 507012 GB$0.2285$0.1371
RTX 5070 Ti16 GB$0.4248$0.2549
RTX 508016 GB$0.3498$0.2099
RTX 509032 GB$0.6900$0.4140
RTX 5880 Ada Generation48 GB$0.5958$0.3575
RTX 6000 Ada Generation48 GB$0.6631$0.3978
RTX A20006 GB$0.3038$0.1823
RTX A400016 GB$0.0951$0.0571
RTX A500024 GB$0.2466$0.1479
RTX A600048 GB$0.4270$0.2562
RTX PRO 4000 Blackwell24 GB$0.2866$0.1720
RTX PRO 450032 GB$0.3000$0.1800
RTX PRO 4500 Blackwell32 GB$0.3000$0.1500
RTX PRO 5000 Blackwell48 GB$0.8443$0.5066
RTX PRO 5000 Blackwell72 GB$0.8487$0.5092
RTX PRO 5000 Blackwell / RTX PRO 5000 72GB Blackwell48 GB$0.8443$0.5066
RTX PRO 5000 Blackwell / RTX PRO 5000 72GB Blackwell72 GB$0.8487$0.5092
RTX PRO 6000 Blackwell Workstation Edition96 GB$1.5236$0.9142

GPU pods — vCPU and RAM above the included amount

One flat rate on every host, whatever its CPU or memory generation.

ResourceDemandSpot
vCPU (per vCPU · hr)$0.0030$0.0015
RAM (per GiB · hr)$0.0080$0.0040

CPU pods — per-vCPU price by CPU generation

VendorProduct lineGenerationDemand (per vCPU · hr)Spot (per vCPU · hr)
amdepycZen 3$0.0020$0.0012
amdepycZen 4$0.0030$0.0018
amdthreadripperZen 4$0.0020$0.0012
amdthreadripper proZen 4$0.0020$0.0012
amdryzenZen 4$0.0035$0.0021
amdthreadripper proZen 5$0.0040$0.0024
amdryzenZen 5$0.0040$0.0024
amdthreadripperZen 5$0.0040$0.0024
intelxeon4th Gen$0.0020$0.0012

CPU pods — RAM per-GiB price by DDR generation

DDRDemand (per GiB · hr)Spot (per GiB · hr)
DDR0$0.0030$0.0015
DDR3$0.0030$0.0015
DDR4$0.0050$0.0025
DDR5$0.0080$0.0040

Storage

Storage typeDisk typePrice (per GiB · month)
hostPathNVMe$0.0600
nfsNVMe$0.0600

Numbers are pulled from the production API at every docs build. The console at console.meshive.ai is always the live source of truth.

A Meshive instance is a pod: a container with dedicated GPU, vCPU, RAM, and storage carved out of a host machine. There are no fixed instance SKUs — you compose the shape, and the console bounds every slider by what the live fleet can actually serve (which is why the options you see can differ from day to day).

  1. Pick a GPU model and count. The model list and the count options come from the fleet in real time — if the largest host with your GPU has 4 of them, the slider tops out at 4.

  2. Size the companions. vCPU and RAM are set per GPU, pre-filled with recommended values and bounded by the host’s hardware. The platform-wide rule of thumb, per GPU:

    vCPURAM
    Included (minimum)VRAM / 4, rounded down — at least 41.25 GiB per GB of VRAM, rounded up
    Maximum2× included2 GiB per GB of VRAM

    Example — 1× 32 GB GPU: 8–16 vCPU and 40–64 GiB RAM. Hosts must reserve these companions GPU-first, so a GPU pod never finds the CPU/RAM around its GPU already sold off (how that works).

    The included vCPU and RAM come with the GPU rate. Anything above them is billed at one flat rate per vCPU and per GiB of RAM — the same on every host, whatever its CPU or memory generation (the GPU-pod extras table above).

  3. Add storage. Local volumes start at 10 GiB and go up to whatever the host has free; storage is billed per GiB·month at the rates in the table above.

You pay the GPU rate × count, the flat extra rates for any vCPU/RAM above the included amount, and storage — each line item is visible in the create flow before you confirm, and the same shape costs the same on whichever host it lands.

CPU pods rent vCPU and RAM without a GPU — including spare CPU capacity on GPU hosts. You choose the vCPU count and RAM, with RAM selectable from 0.5 to 8 GiB per core (matching the usual compute / balanced / memory shapes — 2, 4, and 8 GiB per core). The rate depends on the silicon: per-vCPU pricing is tiered by CPU vendor/generation, and per-GiB RAM pricing by DDR generation — exactly the tiers in the tables above. Each CPU option in the console pins both, so the rate you see is the rate you pay: the pod is placed only on hosts with that CPU generation and that DDR generation.

Every compute SKU has two rates:

DemandSpot
PriceStandard rateDiscounted
AvailabilityRuns until you stop itMay be reclaimed and reallocated to a different node. If no node has room, it stops and waits, then starts again on its own when capacity frees up
Local storage✓✗ — local volumes would be lost on reallocation, so spot pods must use NFS storage instead

Use spot for interruption-tolerant work (training with checkpoints, batch processing); keep services and stateful workloads on demand.

  • Shape ceilings are fleet-driven, not fixed — GPU count, vCPU, and RAM max out at the largest matching host currently online. The GPU table above is the live lineup.
  • Local volumes: 10 GiB minimum per volume, host capacity as the ceiling, demand pods only.
  • Hardware is pinned: a pod stays on the machine it was placed on — to move to a different GPU, save your image/data and recreate (how placement is chosen).
  • Billing granularity is one minute, on a running-pod basis.
  • Host maintenance: while a host’s maintenance window is open, your pods and volumes on that machine aren’t billed. Meshive doesn’t stop your pods — they keep running unless the host’s work interrupts them. Billing resumes when the window ends (the host may end it early). Tasks and Assets storage are unaffected.