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AI flagship · Blackwell
NVIDIA B200 servers
Blackwell for training and high-throughput inference, with 180 GB of HBM3e per GPU.
- 180 GBHBM3e per GPU
- 8 TB/smemory bandwidth
- NVLink 5GPU interconnect
- 1–8 GPUsper server
Price per GPU · monthly
$3,439/mo
−30%Market median $4,920≈ $4.71 per GPU-hour
Below every on-demand list price we found
Server size
Deploy a B200 serverOnline in under 10 min · no KYC · USD per server per month, prepaid · pay in BTC, ETH, USDT, XMR, LTC
Why rent the B200.
CryptGPU rents dedicated NVIDIA B200 servers with 1, 2, 4 or 8 GPUs at $3,439 per GPU per month (about $4.71 per GPU-hour), 30% below the market median, paid in Bitcoin, Ethereum, USDT, Monero or Litecoin with no KYC. The B200 is NVIDIA’s Blackwell data-center GPU. Compared with Hopper it brings FP4 and FP8 tensor cores, 8 TB/s of memory bandwidth and NVLink 5 at 1.8 TB/s per GPU. An 8-GPU server holds 1.4 TB of HBM3e, enough for full fine-tuning of 70B-class models or serving several large models at once.
- 8 TB/s memory bandwidth
Token generation is bandwidth-bound; the B200 has 1.7× the bandwidth of the H200.
- NVLink 5 · 1.8 TB/s
Twice the GPU-to-GPU bandwidth of Hopper for sharded training.
- FP4 and FP8
Native low-precision tensor cores for inference and training.
B200 server prices, 1 to 8 GPUs.
Same price per GPU at every size. vCPU, DDR5 RAM and NVMe scale with the number of GPUs.
| Server | GPU memory | vCPU | RAM | NVMe | Market median | CryptGPU | Action |
|---|---|---|---|---|---|---|---|
| 1× B200 | 180 GB | 28 | 288 GB | 3.84 TB | $3,439/mo | Configure 1× B200 | |
| 2× B200NVLink 5 | 360 GB | 56 | 576 GB | 7.68 TB | $6,878/mo | Configure 2× B200 | |
| 4× B200NVLink 5 | 720 GB | 112 | 1,152 GB | 15.36 TB | $13,756/mo | Configure 4× B200 | |
| 8× B200NVLink 5 | 1,440 GB | 224 | 2,304 GB | 30.72 TB | $27,512/mo | Configure 8× B200 |
NVIDIA B200 specifications.
Figures from NVIDIA’s published specifications. Tensor figures are peak dense throughput unless marked otherwise.
GPU and memory
- Architecture
- Blackwell, TSMC 4NP
- Form factor
- SXM module (HGX B200)
- GPU memory
- 180 GB HBM3e
- Memory bandwidth
- Up to 8 TB/s
- GPU-to-GPU link
- NVLink 5, 1.8 TB/s per GPU
- Host link
- PCIe Gen5
- Max power
- Up to 1,000 W, configurable
- Multi-Instance GPU
- Up to 7 instances
Tensor throughput (dense)
- FP4
- 9 PFLOPS
- FP8 / FP6
- 4.5 PFLOPS
- FP16 / BF16
- 2.25 PFLOPS
- TF32
- 1.1 PFLOPS
- INT8
- 4.5 POPS
- FP32
- 75 TFLOPS
- FP64
- 37 TFLOPS
Cores and media
- Tensor Cores
- 5th generation
- Video decoders
- 7 NVDEC
Server, per GPU
- vCPU
- 28
- RAM
- 288 GB DDR5
- NVMe
- 3.84 TB
- GPUs per server
- 1, 2, 4, 8
NVIDIA publishes sparse tensor figures; dense figures are half of them. Memory bandwidth is 8 TB/s on NVIDIA’s DGX B200 page and 7.7 TB/s in its Blackwell datasheet.
Sources: NVIDIA HGX · NVIDIA DGX B200
Which models fit on B200 servers.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache; long contexts and large batches need more.
| Model (total parameters) | FP16 | FP8 | 4-bit |
|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× |
| Gemma 4 31B | 1× | 1× | 1× |
| Llama 3.3 70B | 2× | 1× | 1× |
| gpt-oss-120b | 2× | 1× | 1× |
| DeepSeek-V4-Flash | 8× | 4× | 2× |
| Qwen3.5-397B-A17B | 8× | 4× | 2× |
| DeepSeek-R1 (671B) | — | 8× | 4× |
| Kimi K2.6 (1T) | — | 8× | 4× |
Estimate: FP16 ≈ 2.4 bytes, FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter, with 92% of GPU memory usable. — = does not fit in the largest B200 server. Several recent models ship natively in FP8 or 4-bit formats; the columns show what each precision needs. Try the sizing helper for other models and for fine-tuning, or see every open model and its VRAM.
B200 rental prices across the market.
Monthly price per GPU. Public on-demand list prices collected on 23 Sep 2026; hyperscalers shown for reference only.
Per GPU, 730 hours a month. Hyperscalers (AWS, Google Cloud, Azure, Oracle) are excluded from the median. How we compare
B200 vs similar GPUs.
- NVIDIA · Blackwell Ultra B300 New 288 GB HBM3e · 8 TB/s +108 GB +$580/mo $4,019/mo per GPU
- NVIDIA · Hopper H200 141 GB HBM3e · 4.8 TB/s −39 GB −$1,160/mo $2,279/mo per GPU
- AMD · CDNA 4 MI355X Best value 288 GB HBM3E · 8 TB/s +108 GB −$2,030/mo $1,409/mo per GPU
Detailed comparisons: H200 vs B200 · B200 vs B300 · H100 vs B200 · MI355X vs B200
From the blog: What 40 GPU clouds charge: September 2026 market check · B300 vs B200 vs H200 vs MI355X: which flagship GPU to rent
B200 rental FAQ.
More in the full FAQ.
How much does it cost to rent an B200 per month?
At CryptGPU, the B200 costs $3,439 per GPU per month, about $4.71 per GPU-hour over 730 hours and 30% below the market median of $4,920. A server with 8 GPUs costs $27,512 a month. The price is fixed for the paid month: no hourly metering, no setup fee.
Can I pay for an B200 server with Bitcoin or Monero, without KYC?
Yes. Every CryptGPU server is paid in crypto: BTC, ETH, USDT, XMR or LTC (USDT on Tron or Ethereum). There is no KYC: no ID documents, no selfie. Your server is online in under 10 minutes once the payment is confirmed on-chain. Paying with crypto
B200 or H200?
The B200 has more memory (180 GB vs 141 GB), 1.7× the bandwidth and twice the NVLink bandwidth, plus FP4. The H200 costs less per GPU and has stronger FP64.
How much GPU memory does an 8× B200 server have?
1,440 GB of HBM3e, with 224 vCPU, 2,304 GB of RAM and 30.72 TB of NVMe.
Is the B200 a good inference GPU?
Yes. One B200 holds a 70B model in FP8 (about 84 GB by our rule of thumb) with plenty of memory left for the KV cache, and 8 TB/s of bandwidth speeds up token generation. Engines that support FP4 on Blackwell cut memory needs further.
Build your B200 server.
Choose 1 to 8 GPUs and pay the first month in crypto. $3,439 per GPU, the same at every size.