NVIDIA A100 · H100 · PCIe
A100 H100 dedicated server The full GPU, your OS, your root.
An A100 H100 dedicated server is one physical machine with an NVIDIA A100 (40 or 80 GB) or H100 80 GB PCIe GPU passed through to the operating system you install, billed by the month. The lowest complete price is $772.47 a month with the A100 40 GB, and $1,682.67 with the H100.
- Single tenant
- PCIe passthrough
- Unmetered port
- ECC HBM
- No contract
Spec sheets leave three things out, and this page gives them: what each GPU costs with the machine under it, which PCIe link it really gets in our chassis, and which of the three your job needs.
A100 vs H100
NVIDIA A100 vs H100 specs, for the PCIe GPUs we fit
Both are data-centre GPUs built for matrix arithmetic, with stacked HBM memory and ECC. The H100 is the next generation: more memory bandwidth, fourth-generation Tensor Cores and FP8 through the Transformer Engine. Every figure here is for the PCIe version, the only form our chassis take.
| Specification | A100 40 GB | A100 80 GB | H100 80 GB PCIe |
|---|---|---|---|
| Architecture | Ampere | Ampere | Hopper |
| GPU memory | 40 GB HBM2, ECC | 80 GB HBM2e, ECC | 80 GB HBM2e, ECC |
| Memory bandwidth | 1,555 GB/s | 1,935 GB/s | 2,039 GB/s |
| Tensor Cores | 3rd generation | 3rd generation | 4th generation, FP8 with the Transformer Engine |
| Board power | 250 W | 300 W | 350 W |
| GPU interface | PCIe 4.0 x16 | PCIe 4.0 x16 | PCIe 5.0 x16 |
| Multi-Instance GPU | Up to 7 instances | Up to 7 instances | Up to 7 instances |
| Video engines | No NVENC, 5 NVDEC | No NVENC, 5 NVDEC | No NVENC, 7 NVDEC |
| NVLink | Bridge connector | Bridge connector | Bridge connector |
| Display outputs | None | None | None |
H100 figures quoted elsewhere with HBM3, 3.35 TB/s and up to 700 W belong to the SXM5 module, which mounts on an HGX baseboard. None of our servers use one, so those numbers do not apply here.
From the order catalogue
A100 and H100 server prices, with the machine each one goes in
Each row is one GPU on one platform that takes it. The price is the full monthly bill for the cheapest machine on that platform: processor, memory, disks, an unmetered port and one IPv4 address, plus the GPU. Configure opens that platform, where you add memory, disks or a faster port.
| GPU | Platform | PCIe link | Cheapest machine | Cities | Per month |
|---|---|---|---|---|---|
| A100 40 GBGPU $699/mo | Intel Xeon E5-2600 v3/v4 | PCIe 3.0 x16GPU is 4.0 | Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps | New York, Bucharest, San Francisco, Miami, Amsterdam | $772.47Configure |
| A100 40 GBGPU $699/mo | Intel Xeon Silver / Gold | PCIe 3.0 x16GPU is 4.0 | Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps | New York, Bucharest, San Francisco, Miami, Amsterdam | $782.67Configure |
| A100 40 GBGPU $699/mo | AMD EPYC | PCIe 4.0 x16full speed | AMD EPYC 7413 24 CORE 2.65 GHz 128MB L3 CACHE · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps | New York, Bucharest | $916.59Configure |
| A100 80 GBGPU $899/mo | Intel Xeon E5-2600 v3/v4 | PCIe 3.0 x16GPU is 4.0 | Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps | New York, Bucharest, San Francisco, Miami, Amsterdam | $972.47Configure |
| A100 80 GBGPU $899/mo | Intel Xeon Silver / Gold | PCIe 3.0 x16GPU is 4.0 | Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps | New York, Bucharest, San Francisco, Miami, Amsterdam | $982.67Configure |
| A100 80 GBGPU $899/mo | AMD EPYC | PCIe 4.0 x16full speed | AMD EPYC 7413 24 CORE 2.65 GHz 128MB L3 CACHE · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps | New York, Bucharest | $1,116.59Configure |
| H100 80 GBGPU $1,599/mo | Intel Xeon Silver / Gold | PCIe 3.0 x16GPU is 5.0 | Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps | New York, Bucharest, San Francisco, Miami, Amsterdam | $1,682.67Configure |
| H100 80 GBGPU $1,599/mo | AMD EPYC | PCIe 4.0 x16GPU is 5.0 | AMD EPYC 7413 24 CORE 2.65 GHz 128MB L3 CACHE · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps | New York, Bucharest | $1,816.59Configure |
A build with a GPU fitted pays a one-time setup of $29. Paying 3, 6 or 12 months ahead lowers the monthly rate by up to 15%, and the price does not rise at renewal.
PCIe link
Which PCIe link the GPU gets, and when it matters
A PCIe link runs at the speed of its slower end. The H100 is a PCIe 5.0 GPU and the A100 a PCIe 4.0 GPU; the builds table shows the generation each platform's slot gives them, and marks where the slot is the slower end.
- 16 GB/sPCIe 3.0 x16, each way
- 32 GB/sPCIe 4.0 x16, each way
- 63 GB/sPCIe 5.0 x16, each way
- It matters when data crosses the bus all the time: loading large weights, streaming training batches from host memory, offloading optimizer state to the CPU, or moving tensors between two GPUs that have no NVLink bridge.
- It matters little once the work sits in GPU memory. HBM reads at 1.5 to 2 TB/s, roughly 25 to 130 times faster than any of those slots, so a model that stays loaded runs at the same speed on every platform.
- If your pipeline is bus-bound, pick the platform with the newest link in the table, and keep the dataset on the server's own disks rather than across the network.
Sizing
A100 or H100: which one your job needs
Start from memory. The weights, the activations and, for training, the optimizer state have to fit on the GPU, and a job that does not fit is not saved by a faster chip.
A100 40 GB
A100 dedicated server for inference and batch work
The lowest price for HBM, ECC and Multi-Instance GPU. Right for serving small and mid-size models, batch scoring, and scientific code that fits in 40 GB.
A100 80 GB
Twice the memory, same generation
About a quarter more bandwidth than the 40 GB part. Right when the model or the batch does not fit in 40 GB and raw arithmetic is not the bottleneck.
H100 80 GB
H100 dedicated server for training
Fourth-generation Tensor Cores and FP8 raise throughput on transformer training and inference over the A100, most where your framework uses FP8. Worth its price when the GPU is busy most of the month.
Will the model's weights fit?
| Model weights | Precision | A100 40 GB | A100 or H100 80 GB |
|---|---|---|---|
| 7-8 billion parameters | 16-bit | fits16 GB | fits16 GB |
| 8-bit | fits8 GB | fits8 GB | |
| 4-bit | fits5 GB | fits5 GB | |
| 13-14 billion parameters | 16-bit | tight28 GB | fits28 GB |
| 8-bit | fits14 GB | fits14 GB | |
| 4-bit | fits8 GB | fits8 GB | |
| 30-34 billion parameters | 16-bit | no68 GB | no68 GB |
| 8-bit | no34 GB | fits34 GB | |
| 4-bit | fits19 GB | fits19 GB | |
| 70 billion parameters | 16-bit | no140 GB | no140 GB |
| 8-bit | no70 GB | no70 GB | |
| 4-bit | no38 GB | fits38 GB |
Weights only. "Fits" leaves at least half as much again free for the KV cache and the runtime; "tight" loads, but a long context or a second user runs the GPU out. Full fine-tuning in mixed precision with the Adam optimizer needs about 16 bytes per parameter before activations, so one 80 GB GPU fully trains about 5 billion parameters. LoRA and QLoRA train adapters on far larger models in the same memory. For a given model, LLM hosting names the machine.
Neither GPU has a hardware video encoder. For transcoding, the L40S dedicated server carries three NVENC engines with AV1.
Included
What you control, and how it is billed
The machine and the GPU are two monthly lines on one invoice. Change the GPU later in the same server and the bill moves by the difference between the two GPUs; your disks and IP addresses stay.
Root and a remote console
A clean operating system, root access and the server's out-of-band controller for console, virtual media and power.
Drivers you pin
You install the NVIDIA driver, the CUDA release and the framework build your code was tested on. Want the driver in place at handover? Put the version on the order.
An unmetered port
Traffic is not metered in either direction, so pulling datasets and pushing checkpoints adds nothing to the bill. Faster ports are on the order form, and unmetered bandwidth lists them.
Month to month
No contract and nothing to sign. Racked machines taken without changes are also billed by the hour on instant servers; a build to order is monthly.
Delivery
How long an A100 or H100 server takes
Lead time is set by where the GPU sits on the day you order. You learn which of the four cases applies before you pay, and each clock starts at approval.
- 30 min
Already racked
A machine that carries the GPU is waiting in the rack.
- 4–24 h
Fitted here
We hold the GPU and fit it to the machine you configured.
- 5–10 days
Bought in
Working days, when the GPU has to be ordered first.
- 10–15 days
On allocation
Working days, when the GPU is on allocation and the supplier sets the date.
GPU marketplace
A100 and H100 machines listed by their owners
Owners also list their own A100 and H100 machines on our marketplace, each with its monthly price. Listings from our sister company, Primcast, show here too and are rented there.
Answers
Questions about A100 and H100 servers
What is the difference between the NVIDIA A100 and H100?
The H100 is the generation after the A100. As the PCIe GPUs we fit, the A100 has 40 GB of HBM2 at 1,555 GB/s or 80 GB of HBM2e at 1,935 GB/s and a PCIe 4.0 interface. The H100 has 80 GB of HBM2e at 2,039 GB/s, fourth-generation Tensor Cores with FP8, and a PCIe 5.0 interface, and it draws 350 W against 250 or 300 W. All three have ECC, Multi-Instance GPU and no video encoder.
How much does an H100 dedicated server cost?
The lowest monthly price for a complete H100 80 GB server is $1,682.67. That machine is Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps, and the GPU is $1,599 of the total. A build with the GPU fitted adds a one-time setup of $29, and the builds table lists every platform with its own price.
How much does an A100 server cost?
The lowest monthly price for a complete A100 server is $772.47 with the 40 GB GPU and $972.47 with the 80 GB GPU, each in the cheapest machine that takes it. The A100 40 GB build is Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps. Memory, disks and a faster port are priced on the order form.
Is the H100 here PCIe or SXM?
PCIe. Our chassis take PCIe add-in GPUs, so the H100 we fit is the 80 GB PCIe version with HBM2e. The SXM5 module, with HBM3 and up to 700 W, needs an HGX baseboard that none of our servers have.
Is an H100 server good for training AI models?
Yes, for models that fit in 80 GB with the training method you use. Full fine-tuning in mixed precision with Adam needs about 16 bytes per parameter before activations, so one H100 fully trains about 5 billion parameters, and LoRA or QLoRA adapters stretch it to much larger models. Past that the job needs several GPUs, which multi-GPU servers covers.
Can I put two or more A100 or H100 GPUs in one server?
Often, and it is quoted by hand rather than ticked at checkout: chassis clearance, PCIe lanes and the power supply set the count. Both GPUs carry an NVLink bridge connector, but no bridge is on the order form, so GPUs in one server talk over PCIe unless a bridge is quoted. Ask in chat before you order if the job needs one.
Can I rent an A100 or H100 server by the hour?
Only a machine already racked, ordered as it stands, from instant servers. It costs its monthly price divided by 730 hours, times 1.3, metered by the second until you release it. A build to order, like the rows on this page, is billed by the month.
How long does an A100 or H100 server take to deliver?
About 30 minutes after approval when a machine with the GPU is already racked, 4 to 24 hours when we fit a GPU we hold, 5 to 10 working days when the GPU is bought in, and 10 to 15 when it is on allocation. We say which one applies before any payment is taken.
Can an A100 or H100 transcode video?
Not in hardware. Neither has an NVENC encoder, so encoding would run in software on the GPU or the processor. They do decode, with 5 NVDEC engines on the A100 and 7 on the H100. For live transcoding pick a GPU with NVENC, such as the L40S.
Do I share the GPU with anyone?
No. The GPU is passed through to your own operating system with no hypervisor in between, and the machine has one tenant. You can still split it yourself with Multi-Instance GPU into up to seven instances for your own jobs.
Who answers when I need help?
The AI on our chat replies within seconds and can look up your account and your server while you talk. Say you want a person and one of us takes over the same conversation.
In plain text
Every figure on this page
- GPUs
- NVIDIA A100 40 GB (HBM2, 1,555 GB/s, 250 W, PCIe 4.0), A100 80 GB (HBM2e, 1,935 GB/s, 300 W, PCIe 4.0), H100 80 GB PCIe (HBM2e, 2,039 GB/s, 350 W, PCIe 5.0)
- A100 40 GB server from
- $772.47 a month, complete: Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps with the GPU
- A100 80 GB server from
- $972.47 a month, complete: Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps with the GPU
- H100 80 GB server from
- $1,682.67 a month, complete: Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps with the GPU
- Platforms
- Intel Xeon E5-2600 v3/v4 (PCIe 3.0); Intel Xeon Silver / Gold (PCIe 3.0); AMD EPYC (PCIe 4.0)
- Cities
- New York, Bucharest, San Francisco, Miami, Amsterdam
- Setup
- $29 once for a build with a GPU fitted
- Term
- Monthly, no contract; up to 15% off for 3, 6 or 12 months paid ahead
- Traffic
- Unmetered port, no egress charge
- GPU access
- PCIe passthrough to your own OS, root, no hypervisor
- Delivery
- About 30 minutes racked; 4 to 24 hours when we hold the GPU; 5 to 10 working days bought in; 10 to 15 on allocation
- Not included
- NVENC video encoding (neither GPU has one), NVLink bridge (quoted), SXM5 modules
Elsewhere
Other GPU questions
Pick the GPU, then the machine under it
Configure an A100 or H100 server now, or tell us the model and the batch size in chat. Our AI answers in seconds, and a person joins when you ask.