Taalai's AI Hardware Co.
Spec sheet · SKU SRV-H100X8-640G · verified July 2026
8x H100 SXM server
Server Built to order

8x H100 SXM server

A full server with 8 H100 GPUs wired together with NVLink, acting as one large pool of memory and compute.

SKU SRV-H100X8-640G
PriceiChecked against NVIDIA's own product listings and major retailers (B&H, Micro Center, NVIDIA's marketplace) as of July 2026 — real published prices, not estimates. $250,000
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Specifications

GPU memory
640 GB HBM3i"High Bandwidth Memory" — memory stacked directly on the GPU chip itself for very fast, very close access. Used in datacenter GPUs like the H100, not desktop cards.
Power draw
5.6 kW
Tensor / AI compute
~31.7 petaflops FP8 (8-GPU aggregate, sparse)
Rack units
8U typical (air-cooled 8-GPU HGX chassis; varies by system integrator)
Per-GPU memory80 GB HBM3
Per-GPU bandwidth3.35 TB/s
GPU-to-GPU linkNVLink, 900 GB/s
Form factor8x SXM in one server chassis

Which models this can run

Real memory math against the 3 models in the model advisor — parameters × 1 GB, plus 20% working room.

Qwen3.5-397B 476.4 GB required · this unit has 640 GB
Runs on a single unit.
DeepSeek-V3.2 805.2 GB required · this unit has 640 GB
Needs 2x units clustered together (not a single unit).
Kimi K2.6 1,200.0 GB required · this unit has 640 GB
Needs 2x units clustered together (not a single unit).

Power and cooling

Electrical requirement: Draws 5,600 W — 3x what a single standard 120V/20A circuit can safely carry continuously (1,920 W). Requires 208V/240V power distribution and, at this scale, dedicated cooling — standard in datacenters, not offices or homes.
About 4.7x the continuous draw of an average home (1200 W). Run flat-out for a month, that's roughly 4,032 kWh — about $524/month at a $0.13/kWh commercial rate (US average, EIA — your actual rate depends on region and utility contract).
Power cost, relative to the rest of the catalog $524/mo

Cooling: Air-cooled chassis fans; liquid-cooled variants available from some integrators

What this is good for

  • Training and fine-tuning models up to several hundred billion parameters
  • High-throughput, multi-user inference
  • Workloads that benefit from NVLink GPU-to-GPU memory sharing

What this is NOT good for

  • Small teams or single-user workloads — significant overkill on price and power
  • Budget-constrained prototyping
  • Sites without 3-phase power and datacenter-grade cooling

Included components

Complete server: 8x H100 GPUs, dual host CPUs, redundant power supplies, and NVLink baseboard. Does not include networking switches, cabling, or rack enclosure.

Lead time and warranty

Delivery window estimateBuilt-to-order enterprise hardware — typically an 8–16 week lead time from order confirmation, depending on allocation.
WarrantyManufacturer warranty applies (enterprise service terms vary by reseller).
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