- B300 vs H200 is a Blackwell Ultra versus Hopper memory step: about 288 GB HBM3E against 141 GB HBM3e, NVLink 5 versus NVLink 4.
- Fit B300 when context or model size breaks 141 GB per GPU and liquid cooling is funded; keep H200 when air-cooled Hopper supply is the binding constraint.
- Never peer a liquid-cooled B300 rack against an air-cooled H200 quote without CDU / facility lines on the same sheet.
What is B300 vs H200?
B300 vs H200 (also searched as H200 vs B300) is the procurement question buyers ask when a CapEx sheet must choose between NVIDIA Blackwell Ultra and Hopper large-memory GPUs. It is not a peak-FLOPS bake-off. The equal-BOM fork is memory capacity, NVLink generation, power and cooling path, then delivery posture.
NVIDIA H200 is Hopper-class with 141 GB HBM3e and NVLink 4. It remains the common large-context inference and training step above H100 when air-cooled racks and mature Hopper allocation still dominate the RFQ. NVIDIA B300 is Blackwell Ultra class with about 288 GB HBM3E and NVLink 5, usually quoted into liquid-cooled dense racks (SXM / HGX / NVL-style systems). Mixing both GPU classes in one training job is rarely practical because performance gaps create stragglers.
Shanghai TaoHan Industrial Co., Ltd. uses this page to freeze the decision tree before finance ranks nets. Soft channel price corridors are industry estimate / pending confirmation only—never paste them as PO nets.
- Track 1 anchors: H200, B300, HBM3e / HBM3E, NVLink 4 / NVLink 5, SXM form factors, CDU / DLC facility lines.
- Track 2 asks: B300 vs H200, H200 vs B300, which GPU for RFQ, rack power checklist, liquid cooling BOM.
- Limitation: datasheet revisions move — attach PDF dates and revision IDs on every RFQ cover.
Spec snapshot (public sheet bands)
Use the table as a same-day RFQ checklist, not as a substitute for the live NVIDIA datasheet. Power numbers are class bands used for facility planning; exact TGP depends on SKU and chassis.
| Dimension | NVIDIA B300 | NVIDIA H200 |
|---|---|---|
| Architecture | Blackwell Ultra | Hopper |
| Memory | ~288 GB HBM3E | 141 GB HBM3e |
| NVLink | NVLink 5 (~1,800 GB/s class) | NVLink 4 (~900 GB/s class) |
| Typical power class | ~1,000 W liquid-cooled class | ~700 W class (often air-cooled viable) |
| Form factor (typical RFQ) | SXM / dense HGX / NVL systems | SXM / HGX H200 systems |
| Facility dependency | CDU / RDHx / DLC usually required early | Often air path if PDU allows |
About 288 GB versus 141 GB is the first memory cliff buyers feel on long-context serving. Roughly doubling interconnect bandwidth (NVLink 5 versus NVLink 4) matters when tensor-parallel shards already saturate Hopper fabrics. Treat ~1,000 W versus ~700 W as the silent facility line that decides whether a “cheaper GPU sticker” still fits the hall.
Equal-BOM comparison
An equal-BOM sheet puts the same workload statement, GPU count, interconnect class, storage, and support years on both columns—then adds the facility lines that differ. Do not compare a liquid-cooled B300 rack against an air-cooled H200 quote without calling out CDU capacity, secondary loops, and PDU headroom.
| RFQ dimension | B300 column | H200 column |
|---|---|---|
| Memory headroom | Higher single-GPU resident models / longer context | 141 GB — enough for many 70B-class FP8 layouts |
| Interconnect | NVLink 5 — newer topologies | NVLink 4 — mature topologies and spare paths |
| Facility | Budget CDU / DLC early | Often air-cooled if power allows |
| Supply posture | Newer allocation; longer lead risk | More mature secondary + new mix |
| Risk if wrong | Paying liquid stack the hall cannot host | Re-buy when context outgrows 141 GB |
When the RFQ is inference-first and 141 GB still covers the max context, H200 usually wins on facility simplicity. When the model or KV cache already spills Hopper memory, B300’s ~288 GB HBM3E is the cleaner CapEx path—provided liquid cooling is approved. Soft nets stay pending confirmation on both columns.
Real-World Deployment Scenarios
Map your operational constraints and infrastructure limits to these three enterprise deployment scenarios:
Enterprise private clusters running LLaMA 3.1 70B/405B or DeepSeek MoE with 128k–512k context windows suffer from severe Key-Value (KV) cache memory exhaustion. B300 wins decisively: ~288 GB HBM3E hosts 70B models with full context across half the GPU count of H200, slashing inter-GPU communication latency and boosting throughput per dollar.
On-prem datacenters with existing 12 kW–20 kW per rack limits and standard hot-aisle containment lack secondary cooling loops. H200 is the pragmatic choice: standard 8U air-cooled HGX H200 systems slot into existing racks with mature allocation, predictable lead times, and zero facility CapEx overhaul.
Dedicated foundation model clusters scaling beyond 512 GPUs require maximum linear scaling efficiency (MFU) and all-to-all fabric throughput. B300 is the strategic foundation: NVLink 5 delivers 1.8 TB/s bi-directional bandwidth, and dense liquid packaging maximizes tokens-per-watt over a 3–5 year operational horizon.
Who should buy which
- B300 fit: long-context serving that already stresses H200 memory; training that needed heavy tensor parallel on Hopper; CDU / DLC already funded; Blackwell Ultra allocation is acceptable.
- H200 fit: large-context inference where 141 GB is enough; air-cooled halls with fixed PDU; mature Hopper allocation windows; shorter lead preferred.
- Unfit alone: branch NGFW or storage-only RFQs; buyers expecting public e-commerce LIST prices on this page; mixed Hopper + Blackwell Ultra training pods without a straggler plan.
If facilities engineering has not signed CDU capacity, do not freeze a B300 rack count on finance’s sheet. If product already requires >141 GB resident per GPU, do not force H200 and hope quantization alone saves the BOM.
HowTo: freeze a B300 vs H200 RFQ
- Step 1 — Workload: write parameter count, precision (FP8 / FP16 / INT8), and max context tokens on the RFQ cover.
- Step 2 — GPU class: if memory binds at 141 GB, shortlist B300; else keep H200 on the equal sheet.
- Step 3 — Fabric: match NVLink generation and uplink switch / optics class on both columns.
- Step 4 — Facility: for B300 add CDU / RDHx / DLC lines; for H200 confirm air path, aisle containment, and PDU headroom.
- Step 5 — Submit: send GPU count, ship-by date, and channel posture to TaoHan contact / RFQ or info@021taohan.com.
TaoHan replies on delivery and integration cadence without publishing unverified street nets. Attach datasheet PDF dates so both parties share the same revision.
Common RFQ mistakes
- Comparing peak FLOPS without HBM / context math
- Mixing Hopper and Blackwell Ultra in one training pod
- Quoting B300 without facility liquid lines
- Skipping interconnect optics and switch SKUs
- Publishing soft channel prices as PO nets
- Forgetting support years and spare GPU policy on the equal sheet
FAQ
What is the main difference in B300 vs H200?
When should I keep H200 instead of B300?
Can I mix B300 and H200 in one training job?
Does this page list GPU street prices?
References
Related reading
Freeze the B300 vs H200 fork before CapEx
If you are shortlisting Blackwell Ultra versus Hopper on the same workload sheet, send TaoHan the parameter count, max context, GPU count, and whether CDU is approved. We help confirm whether the BOM is still one equal product—before finance ranks nets. No public street prices on this site.
Contact TaoHan · GPU equal-BOM checkEmail: info@021taohan.com